She highlights three forces as the new bottleneck: collapsed estimation, distributed authorship, and quality assurance. Traditional artifacts like Gantt charts and risk registers risk irrelevance, requiring project managers to evolve into decision governors who make choices visible, accountable, and aligned with organizational goals. 

Key insights include: 

• Learn how AI makes delivery unpredictable and how PMs can adapt estimation practices. 
• Discover how responsibility for AI‑driven decisions is moving, and how PMs can claim it to stay relevant. 
• Grasp how human review lags behind machine speed, and how new QA approaches can close the gap. 
• Explore how PMs move beyond artifacts to frameworks that make choices visible and auditable. 
• Learn how skills such as critical thinking, judgment, and communication keep PMs indispensable in the AI age. 

Jennifer stresses that passive observers who do not embrace AI risk losing relevance and why PMs must claim accountability before it shifts elsewhere. She emphasizes that AI will soon be embedded in projects by default, but success depends on durable frameworks, rigorous governance, and enduring leadership to ensure ethical, measurable outcomes. 

She explains that AI project success starts with business understanding and clean, well-prepared data, not rushing into model development. Together, Kathleen and Cheryl highlight how CPMAI ensures ethical, explainable, and auditable outcomes, especially in regulated industries. Cheryl emphasizes enduring human skills such as critical thinking, governance, trust, and accountability are essential for project leaders navigating AI adoption.

Key insights include:

• AI success requires data that is clean, accessible, and properly prepared.
• Progress depends on clear accountability to prevent stalled pilots.
• Leaders must ask not only what AI can do but whether it should be done at all.
• Adoption fails when fatigue and overload outweigh readiness.
• Confidence grows when stakeholders are involved early, and outputs are explainable.

Cheryl discusses how AI will soon be embedded in projects by default, but readiness requires durable frameworks like CPMAI and enduring human leadership to ensure measurable, ethical outcomes.

He explains that AI projects introduce unique challenges, such as data quality, model validation, ethics, bias, and governance, that demand a disciplined methodology. CPMAI helps project managers start with the business problem, ask the right questions, and validate outcomes before making technology decisions. A case study from his learning platform illustrates how AI can personalize exam preparation responsibly when guided by CPMAI. 

Key insights include: 

• Understand AI limits: what it can and cannot do 
• Update skills through practice and professional communities 
• Avoid stalled pilots with governance and ownership 
• Build confidence through transparency, not just accuracy 
• Scale AI responsibly with project managers at the center 

Islam’s message is clear: AI is not magic—it’s a decision support system. Project managers remain essential in bridging business, data, and technology, ensuring AI delivers measurable outcomes. 

He explains why AI projects require fresh mindsets: embracing uncertainty, fostering cross-functional collaboration, and shifting activity metrics to measurable outcomes. A vivid case study illustrates how an AI assistant reduced call center times by 40%, boosted advisor efficiency, and advanced organizational readiness for AI adoption.

You will gain insights on:

• Why CPMAI matters — structuring AI initiatives to avoid costly failures
• How to set expectations — starting with business problems, not technology hype
• Shifting mindsets in the AI era — collaboration across disciplines, comfort with uncertainty, focus on value
• Where AI is heading — seamless integration into daily work, with project managers at the center of transformation

Mouhsine also reflects on why many AI projects fail, how the CPMAI methodology helps organizations reset instead of waste resources, and why project managers must bridge business, data, and technology. Practical and inspiring, this episode is essential for project managers, AI practitioners, and leaders ready to turn AI hype into measurable value.

In this special anniversary episode, Kathleen explores how AI has evolved from predictive analytics and machine learning initiatives led by specialized teams to today's era of generative AI and agentic AI, where powerful tools are available to virtually everyone. She examines what changed, what didn't, and why many of the biggest challenges organizations face with AI are still rooted in data, governance, expectations, and business alignment.  

You'll hear reflections on: 

• The AI fundamentals that have stood the test of time, including the 7 patterns of AI and 6 phases of CPMAI 
• Why use cases and business value matter more than the underlying technology 
• How large language models (LLMs) transformed AI accessibility and adoption 
• The continuing importance of data quality, governance, and responsible AI 
• Why AI works best as a human-machine partnership (augmented intelligence) 
• How project professionals are becoming critical to successful AI initiatives 
• What organizations need to do to move from AI experimentation to sustainable, scalable value 

Drawing on insights from more than 540 episodes and hundreds of conversations with practitioners across industries, Kathleen revisits some of AI Today's earliest questions: Why does AI matter? Should we be afraid of AI? And what does the future of AI mean for organizations and the people who lead change within them?  

Whether you've been listening since Season 1 or are discovering AI Today for the first time, this episode offers a thoughtful look at how far AI has come and what will continue to matter as we enter the next decade of AI adoption. 

• How continuous reassessment manages drift and fast changing conditions 
• What mindset shifts help project managers see AI as a partner 
• How Agile + CPMAI blend iteration with structure for success 

Practical, honest, and rich with real-world lessons, this episode is valuable for project managers, AI practitioners, and leaders navigating the ambiguity of AI transformation while striving to create humane, creative workplaces.

He explains why AI must be treated as iterative and probabilistic, not deterministic “magic,” and how project managers can shift from delivery to discovery—offloading routine tasks to AI while focusing on orchestration, collaboration, and trust. Jürgen likens today’s AI era to the “fax machine state,” a transitional phase in which AI is already relieving administrative burdens, yet its ultimate potential is still unfolding.

You’ll gain insights on: 

• Why project management foundations matter for AI success
• How CPMAI enables continuous reassessment in fast-changing environments
• What practical methods integrate AI into daily workflows, from meeting notes to coding support
• How to balance automation and creativity in stakeholder management
• How ethical standards and frameworks build trust in AI adoption

Jürgen also reflects on misconceptions fueled by hype, shares real-world use cases like AI-assisted SQL scripting and portfolio reporting, and emphasizes the importance of ethics as AI accelerates global problem-solving. Practical and inspiring, this episode is a must-listen for project managers, AI practitioners, and leaders ready to strengthen their foundations and harness AI responsibly.

He illustrates how CPMAI’s structured framework reduced software development cycle times from 2.5 months to 1.5 months by embedding AI across the SDLC—from user story creation to coding and testing. Vinay emphasizes that success comes not from chasing tools, but from solving real business problems with quality data and strong governance.

You’ll gain insights on: 

• Why AI projects fail without a structured methodology 
• How CPMAI enables measurable outcomes and cycle-time reduction 
• Why AI is probabilistic, iterative, and experimental—not deterministic “magic”
• How project managers must shift from delivery to discovery, fostering cross-functional collaboration, and a common language 
• Practical steps for project managers to start using AI in daily workflows

Vinay also tackles misconceptions about AI, the rise of agentic workflows, and why human creativity and critical thinking remain irreplaceable. Practical and inspiring, this episode is a must-listen for project managers, AI practitioners, and leaders ready to move beyond hype and harness AI as a transformative force in project management.

Johan explains how his team supports 230,000 coworkers across 64 markets, with 90% of translations now AI-driven, and how CPMAI ensures alignment, quality data, and measurable outcomes.

An IKEA case study shows how redefining translation as “text generation” in IKEA’s voice, powered by a graph database enriched with metadata, created a scalable foundation across dozens of languages. Johan highlights the challenges of balancing linguistic nuance with algorithms, misconceptions about “out-of-the-box” LLMs, and why operationalization—not deployment—defines AI success.

You’ll gain insights on:

• Why CPMAI’s structured phases prevent costly failures
• How IKEA scaled translation from 6 to 46 languages iteratively
• Why tone, grammar, and cultural context matter in AI
• How sustainability and resource use shape AI’s future
• How project managers are evolving as orchestrators of AI-enabled workflows

Practical and rich with real-world lessons, this episode is invaluable for project managers, AI practitioners, and leaders navigating language, technology, and business transformation.

Drawing on his experience leading technical program management teams across multiple customers, Michael shares how Cisco is applying generative AI to accelerate service delivery, improve decision quality, and empower project managers. He also founded Cisco’s internal AI Innovator Hub for PMs and helped create an AI for PM playbook, giving teams a repeatable way to apply AI under delivery pressure. 

Michael explains why AI projects differ fundamentally from traditional software initiatives, and why treating AI like a new team member through proper onboarding, context engineering, and iterative coaching turns it into a powerful "co-pilot" rather than just another tool. He and Kathleen discuss common pitfalls for AI projects like “shiny AI features” that fail to deliver, and how the CPMAI framework helps teams ask the right questions early, using Business Understanding and the AI Go/No-Go checklist to avoid wasted effort. 

A standout story from the podcast is how a high-stakes hospital system cutover illustrates how organizing critical knowledge into AI-supported playbooks enabled faster responses, smoother transitions, and stronger stakeholder confidence. They also explore PMI’s M.O.R.E. vision, the importance of relentlessly reassessing AI initiatives as conditions change, and how project managers can balance speed with accountability to deliver trustworthy, responsible AI. 

You’ll hear insights on: 

• How PMI-CPMAI establishes a common language between business and technical teams 
• Why chasing “shiny” AI features without understanding why often fails  
• How treating AI like a teammate leads to stronger results 
• How project leaders can balance speed with accountability in responsible AI 
• How project managers are evolving into orchestrators of AI-enabled workflows 

Practical, grounded, and enterprise-focused, this episode offers valuable perspectives for project managers, technology leaders, and decision-makers working to turn AI ambition into dependable business results. 

• Why Business Understanding is such a critical phase of any AI project 
• How the AI Go/No Go checklist surfaces critical questions before starting your AI project 
• What a real-world AI failure teaches about context, behavior, and business objectives 
• Why agile practitioners need "chops" — and how AI raises the ceiling for those who have them 
• How small businesses can punch above their weight with AI, if they're disciplined about it 

Practical, grounded, and anti-hype — for project managers, agile coaches, engineers stepping into AI leadership, or founders figuring out what AI can do for their business.

Today's episode is brought to you by PMTraining.com. From live virtual classes to on-demand courses, PMTraining prepares students for popular PMI certifications, including the Project Management Professional or PMP.

Behind the scenes, the PMTraining team is also actively applying AI across their organization, from learning development to customer support, helping them deliver training at scale.

PMTraining.com is the world's largest provider of live classes for the Project Management Professional certification, running up to 35 classes every month for every schedule, with a free 30 PDU course included with your enrollment, so half of your continuing education requirement is already met once you are certified. They offer live and on-demand courses for all kinds of PMI certifications, with schedules and formats designed for working professionals. For AI Today listener discounts, visit PMTraining.com/aitoday. 

As artificial intelligence reshapes how content is created and delivered, Chris explains how the project management training landscape is evolving. From live instruction and certification preparation to on-demand learning, he shares how AI is transforming the way professionals learn while highlighting why human instructors, subject matter experts, and instructional designers remain essential.  

Chris discusses how AI tools can accelerate content development and support scalable learning. However, he emphasizes that real value still comes from experienced practitioners who provide context, interpretation, and practical insight. In project management—where judgment, leadership, and decision-making are critical—human guidance remains key to helping learners apply knowledge effectively.  

You’ll hear insights on: 

• How AI is reshaping project management training and content creation 
• Why human instructors and SMEs remain critical in an AI-enabled learning environment 
• How training providers are adapting to AI-driven learning models 
• How AI-related skills and certifications are gaining importance 
• What project professionals can do to stay relevant in an AI-augmented future 

This episode offers valuable perspectives for project managers, training leaders, and learning professionals navigating the evolving intersection of AI, certification programs, and professional development. 

Today's episode is brought to you by PMTraining.com. From live virtual classes to on-demand courses, PMTraining prepares students for popular PMI certifications, including the Project Management Professional or PMP. 

Behind the scenes, the PMTraining team is also actively applying AI across their organization, from learning development to customer support, helping them deliver training at scale. 

PMTraining.com is the world's largest provider of live classes for the Project Management Professional certification, running up to 35 classes every month for every schedule, with a free 30 PDU course included with your enrollment, so half of your continuing education requirement is already met once you are certified. They offer live and on-demand courses for all kinds of PMI certifications, with schedules and formats designed for working professionals. For AI Today listener discounts, visit PMTraining.com/aitoday. 

Sumathi shares how the CPMAI methodology fundamentally shifted her perspective on AI, from something experimental and exploratory to a product discipline with defined outcomes, built-in governance, and clear success criteria from day one. In a pharma environment shaped by strict compliance requirements, she explains how CPMAI doesn’t slow innovation—it enables it—by aligning seamlessly with privacy impact assessments, third‑party risk reviews, and regulatory expectations. 

Drawing on a real-world patient value impact analysis project in the rare diseases space, Sumathi highlights how CPMAI’s six phases—especially Phase I: Business Understanding and Phase II: Data Understanding—help teams focus on the right problem before model development begins. She also connects CPMAI to PMI’s M.O.R.E. vision, explaining how structured artifacts, KPIs, and go/no-go checkpoints help project managers move beyond delivery to value especially when navigating AI initiatives with diverse, risk-aware stakeholders. 

You’ll hear insights on: 

• How CPMAI transforms AI experiments into governed, auditable products 
• Why Business Understanding is critical in AI initiatives 
• How pharma compliance aligns to CPMAI checkpoints 
• How the PMI M.O.R.E. vision helps project managers communicate AI value 
• What agentic AI and human‑in‑the‑loop leadership looks like in the years ahead 

Whether you’re a project manager, transformation leader, or AI practitioner, this episode offers practical lessons for leading AI initiatives where the stakes and the scrutiny are high. 

• How CPMAI prevents costly missteps 
• Why starting with the right business problem changes everything 
• How iterative go/no-go decisions keep AI projects aligned and on track
• What the future of AI-augmented project leadership looks like 

This episode delivers practical insight into leading AI initiatives that are aligned, governed, and built for measurable impact. 

Drawing on his experience leading enterprise AI initiatives in regulated industries, Michael explains why treating AI like traditional software often leads to failure, stalled pilots, and unmet expectations. He shares how CPMAI provides the structure needed to manage uncertainty, align stakeholders, and move AI efforts from experimentation to measurable business outcomes. 

This conversation dives into the realities of managing non-linear AI work, from data readiness and model risk to governance, ethics, and long-term operationalization. Michael also looks ahead to the rise of AI agents and what project leaders must do now to prepare for a future where humans and AI systems work side by side. 

Tune in to hear about: 

• Why AI projects fail when traditional delivery methods are applied 
• How CPMAI helps teams navigate data uncertainty and iterative learning 
• How organizations move AI from pilots to production 
• Why governance and risk management must be built into AI projects from the start 
• What mindset shifts do project managers need when leading AI initiatives 
• What the transition from AI tools to AI agents means for organizations 

Whether you’re a project manager, AI practitioner, or organizational leader, this episode offers practical insight into delivering AI responsibly, realistically, and at scale. 

As part of AI Today's PMI Global Summit Series, this conversation highlights how AI can be used not just as a tool, but as a pathway to equity, empowerment, and confidence—especially for underrepresented learners. Katrenia shares insights on curriculum development, early exposure to AI, and the mindsets needed to ensure no one gets left behind in the age of automation. 

Tune in to hear about: 

• Why exposure to AI early builds not just skills, but belief 
• How educators are integrating AI across curriculum design 
• The role of psychological safety and representation in project learning 
• What “future readiness” means for tomorrow’s project leaders 
• How AI can both challenge and enhance traditional education models 
• The importance of mentorship, agency, and human connection in AI-powered learning 

Whether you're in education, project management, or talent development, this episode offers a hopeful and practical vision for building more inclusive, AI-literate teams—starting in the classroom. 

Lee shares his candid thoughts on how AI is reshaping what it means to lead projects—and why the future belongs to those who pair smart tools with power skills like communication, leadership, and empathy.

Tune in to hear about:

• Why mindset matters more than memorization in an AI-augmented world
• How project managers can embrace AI without losing their human edge
• Why power skills are more valuable than ever
• What changes—and what doesn’t—as tools evolve
• Lee’s advice for staying relevant in a fast-changing profession
• Reflections on the PMP’s legacy and the future of PM education

Whether you're new to the field or decades into your career, this episode offers practical, energizing advice on how to grow with the profession as AI transforms the landscape.

This conversation was recorded live at PMI Global Summit 2025 and highlights the often-overlooked foundations of successful AI adoption: clean, contextual data; empowered, cross-functional teams; and a human-centered mindset that sees AI as a partner, not a product. 

Tune in to hear about: 

• Why most AI efforts fail without operationally ready data 
• How project teams can bridge the gap between experimentation and delivery 
• What true upskilling looks like for today’s AI-augmented workforce 
• How to navigate value misalignment, scope creep, and early AI friction 
• What makes for “good” AI adoption—and what questions we should be asking 
• The importance of empathy, ethics, and inclusion in AI delivery work 

Whether you're a project leader, product owner, or transformation coach, this episode delivers grounded insight into building AI that supports both systems and the people who run them. 

This conversation dives into how trust, transparency, and intentional use of AI are helping Concentrix deliver highly personalized experiences for some of the world’s largest brands. Chris shares how their teams are moving beyond dashboards and metrics toward outcomes powered by real-time, AI-driven insight. 

Tune in to hear about: 

• Why trust is foundational for AI adoption in customer interactions 
• How natural language AI is transforming both listening and action 
• What it takes to deliver true hyper-personalization at scale 
• Why transparency, control, and choice matter in every AI use case 
• Real-world examples of AI streamlining service, support, and retention 
• How Concentrix balances experimentation with client outcomes 

Whether you're in customer experience, enterprise transformation, or scaling AI in a service environment, this episode delivers clear, grounded insight into what it really means to build AI that listens, learns, and acts—with the customer at the center. 

Concentrix Corporation (NASDAQ: CNXC), a sponsor of today’s podcast episode, is a Fortune 500® company, is the global technology and services leader that powers the world’s best brands, today and into the future. The company is solution-focused, tech-powered, intelligence-fueled to design, build, and run fully integrated, end-to-end solutions at speed and scale across the entire enterprise. Concentrix helps over 2,000 clients solve their toughest business challenges. With unique data and insights, deep industry expertise, and advanced technology solutions, it’s the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. Delivering outcomes unimagined across every major vertical in 70+ markets. Virtually everywhere. Visit concentrix.com to learn more. 

Tune in to hear about: 

• What “decision intelligence” really means—and why it matters 
• How AI can move from experiments to operational transformation 
• The rise of decision architects and control rooms inside the enterprise 
• Why “learning by doing” beats “learning by reading” when adopting AI 
• How change fatigue, value misalignment, and risk aversion affect AI initiatives 
• What the future of knowledge work could look like with embedded intelligence 

Whether you’re leading digital transformation, deploying enterprise AI, or exploring new operating models, this conversation offers sharp insights into building organizations that can sense, decide, and act at scale.  

Aera Technology, a sponsor of today’s podcast episode, is the leader in decision intelligence and creator of Aera, the first decision intelligence agent. Aera understands how your business works, makes real-time recommendations, takes actions, and learns from every decision. By empowering enterprises to optimize and automate decisions, Aera enables greater sustainability, intelligence, and efficiency. See this in action at AeraHUB NYC as market leaders share how they are scaling decision intelligence for a competitive edge in the age of AI. 

As part of our AI & Agile mini-series, this conversation unpacks how traditional change models are breaking down in the face of rapid AI adoption—and what agile leaders can do to respond. Jason shares lessons from real-world transformations, experiments with generative AI in coaching, and how prompt literacy, failure, and feedback loops are emerging as key skills in AI-augmented workplaces. 

Tune in to hear about: 

• What AI reveals about the limits of traditional change frameworks 
• Why “experiment bots” might be the new change agents 
• How to build change literacy and prompt fluency on agile teams 
• When it’s okay for AI initiatives to fail—and what to do next 
• How curiosity, context, and coaching reshape transformation in the AI era 
• Real stories of what works (and doesn’t) when AI enters team workflows 

Whether you’re leading change, navigating disruption, or just starting to explore AI in your organization, this episode offers grounded, honest, and adaptive perspectives from the front lines of transformation. 

As part of our AI & Agile mini-series, this conversation explores how values like trust, empathy, and psychological safety remain essential—even as AI tools enter the picture. Anu shares her front-line experiences coaching teams to experiment responsibly, lead with intent, and avoid blindly automating poor processes. 

Tune in to hear about: 

• How Agile mindsets can guide teams adopting AI tools 
• Why empathy and experimentation matter more than ever 
• The dangers of automating without asking “why” 
• How to build psychological safety in AI-assisted environments 
• Why AI shouldn’t be feared—but also shouldn’t be treated as magic 
• Real stories of Agile teams navigating AI-driven change 

Whether you're a scrum master, enterprise coach, team leader, or project manager exploring AI, this episode offers grounded insights on staying human-centered in a rapidly evolving tech landscape. 

As part of our AI & Agile mini-series, this conversation unpacks the challenges of outdated frameworks, the importance of experimentation, and what it takes to build organizations that are truly adaptable—when both humans and AI agents are part of the team. 

Tune in to hear about: 

• Why agility isn’t just about rituals—but about responsiveness and results 
• How AI is reshaping team dynamics, leadership models, and management roles 
• The tension between structure and emergence in AI-augmented organizations 
• Why “everyone is a manager now” in hybrid human-AI teams 
• How to preserve play, creativity, and purpose—even with algorithmic assistance 

Whether you're a seasoned agile coach, project or program manager, transformation leader, or navigating the complexities of implementing AI, this conversation delivers wisdom, caution, and inspiration in equal measure. 

This episode kicks off the AI Today Agile & AI mini-series, focusing on how organizations can stay adaptive in an era of rapid technological change. Jim shares insights from decades of leadership at the forefront of agile, what it means to “manage both people and bots,” and why the next generation of enterprise agility needs to evolve beyond prescriptive frameworks. 

Tune in to hear about: 

• The evolving meaning of “enterprise agility” in the age of AI 
• Why “individuals and interactions over processes and tools” still holds true—with a twist 
• The critical difference between adaptive and prescriptive agility 
• How AI reshapes collaboration, measurement, and leadership responsibilities 
• The role of storytelling and inspiration in successful transformation 

Whether you're a seasoned agile coach, project or program manager, transformation leader, or navigating the complexities of implementing AI, this conversation delivers wisdom, caution, and inspiration in equal measure.

Tune in to learn how AI is advancing healthcare through: 

• Automating surgical scheduling by embedding clinical intelligence into workflows, helping schedulers deliver safer and more consistent care instructions 
• Empowering under-resourced staff through AI-enabled decision support, boosting the performance of surgical schedulers without requiring high medical literacy 
• Navigating AI deployment challenges—from lack of data access to user adoption—and designing around real-world constraints in community and rural care settings 
• Building trust and clinical adoption by deeply understanding user workflows, embedding human-in-the-loop systems, and preserving physician autonomy in decision-making 
• Moving beyond pilot purgatory by prioritizing early wins, cross-functional buy-in, and practical tools designed for low-data-maturity environments 

Dr. Kowalcyzk also reflects on lessons learned from building and selling AI-enabled platforms, his experience in the Mayo Clinic AI Accelerator, and the importance of designing for both people and processes—not just technology. 

Whether you're a healthcare leader, project manager, or curious observer, this episode offers practical, hopeful, and forward-looking insights on building AI-enabled healthcare systems with empathy and vision. To learn more about on AI in healthcare, including access through HIMSS membership, please visit: https://bit.ly/3TSpHDZ 

• Combat physician burnout with 45+ specialty-specific GPT applications that reduce documentation time while improving clinical quality and consistency 
• Transform clinical workflows with patient-centered AI tools for pediatric care, infectious disease diagnosis, and medical education feedback 
• Implement robust AI governance through layered oversight, human-in-the-loop design, and continuous validation with bias testing 
• Build clinician trust by involving healthcare providers in shaping AI tools rather than imposing rigid pathways, respecting clinical judgment while augmenting decision-making 
• Embed AI as infrastructure rather than standalone tools, treating AI initiatives with the same governance rigor as clinical interventions 

Dr. Sadeghian also discusses the shift from digitization to digital transformation and how organizations can responsibly deploy AI while maintaining patient-centered care. 

Whether you're a healthcare leader, project manager, or curious observer, this episode offers practical, hopeful, and forward-looking insights on building AI-enabled healthcare systems with empathy and vision. To learn more about on AI in healthcare, including access through HIMSS membership, please visit: https://bit.ly/3TSpHDZ 

• Alleviate workforce shortages through automation, ambient listening, and intelligent documentation tools 
• Accelerate data analysis and discovery, surfacing patterns and insights in the 95% of healthcare data that typically goes unused 
• Improve clinical decision-making with AI-powered tools for early detection (like sepsis) and retrospective analysis 
• Enhance administrative efficiency, freeing up valuable time for nurses and physicians through smart supply chain systems and workflow optimization 
• Support human-centered care by augmenting—not replacing—clinicians, and enabling empathetic, AI-enabled interactions 

Rob also discusses the regulatory challenges facing the industry, the importance of principled leadership, and how organizations can move from digitization to true digital reinvention. 

Whether you're a healthcare leader, project manager, or curious observer, this episode offers practical, hopeful, and forward-looking insights on building AI-enabled healthcare systems with empathy and vision. To learn more about on AI in healthcare, including access through HIMSS membership, please visit: https://bit.ly/3TSpHDZ 

Discover how AI is helping organizations:

• Enhance donor engagement with personalized outreach and predictive giving models
• Streamline grant applications and identify ideal funding opportunities
• Improve campaign targeting and measure advocacy effectiveness in real time
• Match and manage volunteers based on skills, availability, and mission fit
• Break language barriers and improve accessibility with AI-driven translation and content tools
• Evaluate program effectiveness using data analytics and outcome tracking
• Detect financial anomalies and prevent fraud to maintain donor trust
• Forecast community needs—like food insecurity or homelessness—and optimize resource allocation

AI isn't just transforming business—it's empowering social good. This episode highlights how thoughtful AI use is helping organizations do more with less, and deliver real, measurable change.

Learn how AI is being used to:

• Manage smart buildings through automated lighting, heating, and cooling
• Optimize traffic flow with real-time data and AI-controlled signals
• Enhance public transit systems through demand-based scheduling and fleet management
• Support public safety and emergency response via AI-powered surveillance and threat detection
• Streamline waste collection using smart bins, route optimization, and predictive models
• Improve citizen engagement with chatbots, virtual assistants, and personalized city services
• Manage energy and water use through smart grids, leak detection, and demand forecasting
• Monitor environmental conditions such as air quality, noise pollution, and urban heat zones

Whether you live in a major metro area or manage city infrastructure, this episode highlights how AI is quietly transforming the way cities operate—making urban life smarter, safer, and more sustainable.

Tune in to learn how AI is being used to:

• Monitor wildlife populations, migration patterns, and poaching risks using sensors, drones, and satellite imagery
• Track deforestation, land use changes, and illegal activity in remote regions
• Predict and manage air and water quality, including pollution hotspots and supply risks
• Support climate change modeling and forecasting using historical and real-time data
• Optimize renewable energy sources such as solar and wind, and balance energy grids
• Assist in disaster response and recovery through damage assessment, route optimization, and coordination
• Improve recycling and waste sorting with AI-powered robotics and computer vision
• Reduce environmental risks by monitoring emissions, tailings dams, and compliance with ecological regulations

AI’s environmental impact isn’t just a challenge—it’s also an opportunity. This episode highlights how thoughtful AI applications can help drive a more sustainable and resilient planet.

Learn how AI is being used to:

• Operate autonomous trucks, drills, and loaders in hazardous environments
• Monitor equipment health and perform predictive maintenance to reduce downtime
• Optimize resource extraction and mineral processing in real time
• Improve mine planning and resource estimation through advanced data analysis
• Enhance exploration efforts using geological data and machine learning
• Detect safety hazards such as gas leaks, rockfalls, and structural risks
• Reduce energy usage and environmental impact with AI-driven sustainability tools
• Monitor regulatory compliance and manage tailings dams to prevent disasters

While mining may be out of sight for most of us, AI is bringing new visibility, precision, and responsibility to the way we extract the world’s resources.

Tune in to learn how AI is being used to:

• Generate original visual art and music compositions using generative AI tools
• Accelerate design workflows through automation and intelligent suggestions
• Enable style transfer and remixing across artistic genres and media
• Enhance image, audio, and video editing with AI-driven efficiency
• Curate exhibitions, identify themes, and organize creative collections
• Personalize interactive art installations and user-specific experiences
• Support co-creation by acting as an intelligent creative partner

AI is no longer just a tool for technologists—it’s become a dynamic collaborator for the creative class, expanding what's possible in visual, auditory, and interactive media.

Listen in as they discuss how AI is being used to:

• Support generative design, helping architects explore innovative and efficient building concepts
• Automate drafting and detailed design tasks to increase speed and accuracy
• Optimize material selection based on cost, durability, aesthetics, and sustainability
• Improve structural analysis and safety by modeling complex environmental variables
• Assist in site planning with data-driven insights on zoning, topography, and climate
• Enhance cost estimation and budget forecasting using real-time and historical data
• Support project management with predictive scheduling, resource allocation, and delay prevention
• Improve energy efficiency and sustainability through simulation and smart design suggestions
• Enhance Building Information Modeling (BIM) with AI-driven clash detection and cost control

Whether you’re an architect, planner, project manager, or tech innovator, this episode showcases how AI is revolutionizing the design and execution of modern architecture.

Discover how AI is being used to:

• Automate food preparation with robotics for consistent quality and reduced labor costs
• Optimize restaurant menus based on sales data, customer feedback, and seasonal trends
• Enable predictive maintenance of kitchen equipment to avoid downtime and cut repair costs
• Improve food safety and quality control through real-time monitoring and alerts
• Forecast demand and manage inventory to reduce waste and prevent stockouts
• Streamline ordering and payment via AI-powered kiosks, mobile apps, and chatbots
• Personalize the dining experience through tailored recommendations and dynamic pricing
• Enhance customer service with conversational AI for reservations, inquiries, and orders
• Optimize food delivery routes for speed, efficiency, and lower fuel costs

Whether you're a food industry professional or a tech-savvy diner, this episode showcases how AI is improving efficiency, reducing costs, and elevating customer experiences across the food landscape.

Learn how AI is used to:

• Accelerate product innovation through trend and ingredient analysis
• Improve demand forecasting and inventory management with real-time insights
• Enable dynamic pricing strategies responsive to market conditions
• Optimize supply chains, reduce waste, and meet sustainability goals
• Enhance quality control with computer vision and predictive analytics
• Drive hyper-personalized marketing and sentiment analysis
• Power 24/7 customer service through AI chatbots and virtual assistants
• Improve in-store retail strategies using retail analytics and shopper behavior insights

Whether you're in the industry or a consumer of its products, this episode sheds light on the impactful ways AI is shaping the future of CPG. Tune in to discover real-world use cases, emerging trends, and practical lessons that apply well beyond the grocery aisle.

AI is significantly transforming the travel industry by enhancing customer experiences, optimizing operations, and personalizing services. In this episode hosts Kathleen Walch and Ron Schmelzer discuss various ways that AI is applied in travel and hospitality.

AI Improving the Travel Experience

We are seeing AI be applied to improve the entire experience.

Continue reading AI Use Case Series: AI in Travel and Hospitality [AI Today Podcast] at Cognilytica.

AI is making significant advancements in the aerospace industry, enhancing everything from design and manufacturing to flight operations and safety. In this episode of AI Today hosts Kathleen Walch discuss various ways that AI is being used in the aerospace industry.

AI-Assisted Flight & Operations

AI is at the core of developing autonomous aircraft, including drones and pilotless planes.

Continue reading AI Use Case Series: AI in Aerospace [AI Today Podcast] at Cognilytica.

In today’s increasingly unpredictable world, keeping people, property, and assets safe has become more complex than ever. Fortunately, AI is playing a growing role in strengthening physical security and safety measures. In this episode of AI Today, hosts Kathleen Walch and Ron Schmelzer explore how AI is being applied across the physical security landscape to enhance threat detection and improve response capabilities.

Continue reading AI Use Case Series: AI in Physical Security & Safety [AI Today Podcast] at Cognilytica.

In today’s hyper-connected digital landscape, the pace and sophistication of cyber threats are growing faster than ever. Hackers are using increasingly advanced tactics to infiltrate systems, steal sensitive data, and wreak havoc across organizations of all sizes. But there’s a powerful new ally on the front lines of defense: Artificial Intelligence.

In this episode of AI Today, we explore how AI is reshaping cybersecurity.

Continue reading AI Use Case Series: AI in Cybersecurity [AI Today Podcast] at Cognilytica.

In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss how AI is being applied in the AI in Automotive industry.

Continue reading AI Use Case Series: AI in Automotive [AI Today Podcast] at Cognilytica.

Artificial intelligence is transforming everything from disease identification and diagnosis to drug discovery, clinical trial optimization, and even manufacturing efficiency. With access to massive amounts of biological, chemical, and patient data, pharma is perfectly positioned to harness the true power of AI. After all, data is the heart of AI. And this industry has plenty of it.

Continue reading AI Use Case Series: AI in Pharma [AI Today Podcast] at Cognilytica.

In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss how AI is being applied in insurance. We explore how AI is reshaping the insurance industry in many ways. From smarter risk assessment and personalized underwriting to faster claims processing and fraud detection, AI is helping insurers operate more efficiently and deliver better customer experiences.

Continue reading AI Use Case Series: AI in Insurance [AI Today Podcast] at Cognilytica.

In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss various ways AI is being used in the supply chain.

Continue reading AI Use Case Series: AI in the Supply Chain [AI Today Podcast] at Cognilytica.

AI is significantly transforming the Human Resources (HR) industry by streamlining processes, improving decision-making, and enhancing employee experiences. This episode of AI Today discusses how AI is being applied to Human Resources.

Significant use of AI is happening around helping with hiring and recruitment. This is especially true for organizations that have constant jobs to fill such as in warehouses and logistics, or seasonal jobs.

Continue reading AI Use Case Series: AI in Human Resources [AI Today Podcast] at Cognilytica.

AI has been game-changing for marketers, transforming how companies analyze data, engage with customers, write copy, create images and optimize campaigns. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss how AI is being used in marketing.

From the hyperpersonalization pattern of AI where you target each individual at scale to predictive analytics where you’re able to look at past or current data to help make better predictions, AI is empowering marketers to achieve unprecedented levels of efficiency and effectiveness.

Continue reading AI Use Case Series: AI in Marketing [AI Today Podcast] at Cognilytica.

AI is driving significant advancements in the telecommunications industry, improving network management, customer service, and operational efficiency. 
In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss various ways that AI is being applied in Telecommunications.

With the help of AI telecommunication companies can optimize network performance by analyzing vast amounts of data in real time and then using that data to help predict and resolve network issues before they affect users.

Continue reading AI Use Case Series: AI in Telecommunications [AI Today Podcast] at Cognilytica.

The real estate industry is embracing AI for enhancements across a wide range of applications. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss how AI is being applied in real estate.

AI is helping with data-driven decisions. It can quickly analyze a variety of different data points such as historical sales data, market trends, and specific features for each individual home to provide accurate pricing recommendations, ensuring properties are neither undervalued nor overpriced.

Continue reading AI Use Case Series: AI in Real Estate [AI Today Podcast] at Cognilytica.

AI is helping lawyers and the legal profession in a number of ways. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss how AI is being applied in legal.

AI is helping to assist with research and discovery. AI powered legal research platforms are able to use natural language processing to quickly analyze vast data stores of legal documents, case law, statutes, and regulations.

Continue reading AI Use Case Series: AI in Legal [AI Today Podcast] at Cognilytica.

AI tools are helping to transform the media and entertainment industry. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss various ways that AI is being applied to media and entertainment.

Automated systems are helping with brainstorming ideas, writing articles, summarizing information, and even drafting movie scripts. In the age of streaming, personalization has become a welcome and expected part of audience engagement.

Continue reading AI Use Case Series: AI in Media and Entertainment [AI Today Podcast] at Cognilytica.

Public sector agencies, which include federal and national governments, provincial, state, and local government agencies, are increasingly making use of AI. AI in government is having an impact on everything from facial recognition and computer vision technology to AI enabled chatbots. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer share how AI is being adopted and AI applications governments.

Continue reading AI Use Case Series: AI Applications in Government [AI Today Podcast] at Cognilytica.

From autonomous systems to advanced cybersecurity, AI is revolutionizing defense in ways we never imagined. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss how AI is being applied in defense.

Show Notes:

• CPMAI Training and certification
• Free Intro to CPMAI
• AI Use Case Series: AI in Project Management [AI Today Podcast]
• AI Use Case Series: AI in Transportation [AI Today Podcast]
• AI Use Case series: AI in Manufacturing [AI Today Podcast]

Continue reading AI Use Case Series: AI in Defense [AI Today Podcast] at Cognilytica.

When it comes to AI, the topic of energy is quickly becoming a point of discussion. It’s no surprise that AI is energy hungry, whether we’re using that energy to train complicated AI models or responding to the huge amount of demand for generating results and inferences from those trained models. However, AI is also increasingly helping with the generation, transmission, and consumption of energy.

Continue reading AI Use Case Series: AI in Energy [AI Today Podcast] at Cognilytica.

In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss various ways that AI is being used in transportation.

Continue reading AI Use Case Series: AI in Transportation [AI Today Podcast] at Cognilytica.

AI is being used in every industry and manufacturing is no exception. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss how AI is being used in manufacturing.

We discuss how AI is improving the manufacturing process. AI-driven robots are used for automating repetitive tasks, such as assembly, welding, and material handling.

Continue reading AI Use Case series: AI in Manufacturing [AI Today Podcast] at Cognilytica.

AI is revolutionizing the retail industry by enhancing customer experience, optimizing operations, and driving innovation. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss the impact of AI in retail.

Show Notes:

• AI Today Podcast #126: Autonomous RetailAI Today Podcast: Hyperpersonalization at Diageo: Interview with Nick Owen, Diageo

Continue reading AI Use Case Series: AI in Retail [AI Today Podcast] at Cognilytica.

The experiences that customers are important. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss how AI is being used to enhance the customer experience.

We discuss how brands are using AI to provide personalized product or service recommendations. No longer do people need to be provided general suggestions.

Continue reading AI Use Case Series: AI and Customer Experience [AI Today Podcast] at Cognilytica.

AI is having an impact on just about every industry. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss the impact of AI is healthcare.

From streamlining operations to enhancing patient outcomes, AI is rapidly becoming an integral part of modern healthcare. We share how one of the most significant impacts of AI is its role in diagnostics.

Continue reading AI Use Case Series: AI in Healthcare [AI Today Podcast] at Cognilytica.

The construction industry is increasingly using AI in a range of ways. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss how AI is being applied in a number of ways.

Design and Planning for construction

AI and generative AI tools are helping to optimize building designs. We discuss how AI tools analyze vast amounts of data to suggest the most efficient and cost-effective design solutions, reducing material waste and construction time.

Continue reading AI Use Case Series: AI in Construction [AI Today Podcast] at Cognilytica.

One of the oldest professions is agriculture, and over the course of time has undergone significant transformations. Agriculture is now experiencing another transformation with the integration of AI into various processes. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss how AI in agriculture is having a profound impact.

AI’s impact on agriculture

One of the most significant ways AI is being applied in agriculture is through precision farming.

Continue reading AI Use Case Series: AI in Agriculture [AI Today Podcast] at Cognilytica.

Using AI in education can have a dramatic impact on students and teachers alike. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss how AI is being applied in education and learning.

AI powered education

Indeed, AI-powered learning is really exciting people! In this episode we discuss how hyperpersonalized learning is allowing each individual to learn at their own pace.

Continue reading AI Use Case Series: AI in Education [AI Today Podcast] at Cognilytica.

AI in impacting every industry and Journalism & News is no exception. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer will discuss the use of AI in Journalism and News industry.

Assisting with producing content for journalism and news

For newsrooms that need to get content generated, but might not have enough reporters, AI can quickly produce data-driven articles based on structured data, allowing journalists to focus on more complex stories.

Continue reading AI Use Case Series: AI in Journalism and News [AI Today Podcast] at Cognilytica.

As GenAI tools are becoming even more accessible, project professionals are seeing tremendous value when using these tools. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer interview Donna Gregorio. She is the department head of the IT project management office at MITRE Corporation and also Vice President of professional development for the PMI Massachusetts Bay Chapter.

Continue reading Mastering Critical Project Success Areas with GenAI: Interview with Donna Gregorio [AI Today Podcast] at Cognilytica.

AI is having a profound impact on many professions, and project management is no exception. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer interview Pierre Le Manh. He is President and CEO of the Project Management Institute (PMI). Pierre shares insights into PMI’s recent acquisition of Cognilytica and how it’s helping PMI expand its AI-focused offerings.

Continue reading The Future of AI in Project Management: Interview with Pierre Le Manh, CEO of Project Management Institute (PMI) [AI Today Podcast] at Cognilytica.

AI tools have been proving valuable to help handle a variety of different tasks. And, project managers are seeing the value AI tools provide. In this episode of AI Today we interview Jay Kiew who is a Founder at Citizen Centric. He discusses the essentials skills for AI-Driven project managers.

Jay discusses the critical abilities project managers need to succeed in the AI landscape.

Continue reading Essential Skills for AI-Driven Project Managers: Interview with Jay Kiew [AI Today Podcast] at Cognilytica.

Companies of all sizes in just about every single industry are looking to see how AI, machine learning, and cognitive technology projects can provide a competitive edge, provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity in the field of AI for professionals who are CPMAI certified and follow the CPMAI methodology.

Continue reading Applying CPMAI Methodology to AI Projects: Interview with Chris Mielke [AI Today Podcast] at Cognilytica.

This episode is the audio recording of the discussion moderated by Kathleen Walch at PMI’s Global Summit 2024 event. This event took place in LA on September 20th. On this panel we get insights from Vince Lynch who is CEO of IV.AI.

The discussion starts off with Vince sharing some of the biggest challenges he’s seen with managing AI-driven projects.

Continue reading Ethical AI and Project Management: Interview with Vince Lynch, CEO of IV.AI [AI Today Podcast] at Cognilytica.

in today’s competitive landscape, quality service is crucial for long-term success of any business. In this episode of the AI Today hosts Kathleen Walch and Ron Schmelzer discuss the use of AI in customer service.

AI-Powered Offerings

The use of AI chatbots and LLMs are having a significant impact on customer service.

Continue reading AI Use Case Series: AI in Customer Service [AI Today Podcast] at Cognilytica.

The financial industry, long known for its use of technology and data, is embracing AI as a tool for innovation and efficiency. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss how AI is being applied in finance.

AI Helping to Streamline and Enhance Finance Operations

AI is being applied to automate routine tasks, reduce human error, and optimize processes.

Continue reading AI Use Case Series: AI in Finance [AI Today Podcast] at Cognilytica.

Enterprises are increasingly incorporating AI into many aspects of their daily business. And, with this, the project professional is increasingly using AI for a number of tasks. From AI chatbots, to predictive analytics, to generative AI applications that help automate project management duties such as project documentation, meeting minutes, or report generation, the use of AI among project managers is growing.

Continue reading AI Use Case Series: AI in Project Management [AI Today Podcast] at Cognilytica.

We have some super exciting news to share with you all! And, we want our community to hear this news directly from us. Project Management Institute (PMI), the world’s leading organization for the project management profession has acquired Cognilytica and Managing Partners Kathleen Walch and Ron Schmelzer have joined PMI’s Senior Leadership Team!

In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer reflect on Cognilytica’s and AI Today’s journey these past eight years.

Continue reading Cognilytica is now part of PMI! [AI Today Podcast] at Cognilytica.

In our very first podcast we asked the question “Why Does AI Matter?”. So we thought it only fitting as we start our eighth season of AI Today to come back to this topic. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss whether or not the mood is turning against AI.

Continue reading Is the Mood Turning Against AI? [AI Today Podcast] at Cognilytica.

AI continues to impact and enhance every industry. From better nutrition, better sleep, practicing mindfulness and meditation, to improved insights on one’s overall health AI is having a big impact on fitness and wellness. In this episode of AI Today hosts Kathleen Walch and Ron Schemzler share AI’s impact on the fitness and wellness industry.

Continue reading AI Use Case Series: AI in Fitness and Wellness [AI Today Podcast] at Cognilytica.

AI is being used in many industries and sports is no exception. AI is being applied to enhance all areas of sports from the athlete to the fan, the coach to the referee, and even in judging athletic competition. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss how AI is being applied in professional sports.

Continue reading AI Use Case Series: How AI is being Applied in Sports [AI Today Podcast] at Cognilytica.

Adaptability is the ability to adjust to new conditions, environments, or situations effectively and efficiently. It involves being open to change, learning quickly from experiences, and having the flexibility to modify one’s approach in response to shifting circumstances. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer continue with the soft skills series and discuss the soft skill of adaptability.

Continue reading The Need for Adaptability with AI [AI Today Podcast] at Cognilytica.

An AI-First Mindset refers to a proactive and strategic approach to integrating AI into all aspects of your life both personally and professionally. It involves prioritizing and using AI as a key driver for decision-making, innovation, and problem-solving. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss what having an AI-First mindset means.

Continue reading What is an AI-First Mindset? [AI Today Podcast] at Cognilytica.

If you’re ever done a web search you know that getting relevant and appropriate answers on the web can take a lot of effort. Oftentimes, it also requires multiple attempts to get relevant results. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss the changing landscape of AI and search.

How AI is changing search

Already, AI is proving to be a massive enhancement and augmentation to the everyday work and tasks of businesses, enterprises, and organizations of all types.

Continue reading What’s happening with AI and Search? [AI Today Podcast] at Cognilytica.

Data is integral at any organization. However, data on it’s own doesn’t provide much value. If we want to get more from our data and AI systems, and if we truly want to get machines to become more intelligent, we need to bridge that gap with at least some understanding of those patterns. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer interivew Rich Maltzman.

Continue reading Understanding and Power Skills – Keys to AI Success: Interview with Rich Maltzman, Boston University at Cognilytica.

CIOs everywhere are gearing up for increased investments in AI, while facing challenges and overcoming barriers that come with implementing and scaling AI. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer interview Linda Yao. Linda is COO and Head of AI Solutions and Services at Lenovo.

AI’s Impact on CIOs

Recently, Lenovo conducted a global survey of CIOs.

Continue reading How AI is Transforming Manufacturing and Other Industries: Interview with Linda Yao, Lenovo [AI Today Podcast] at Cognilytica.

Here’s a hint as to what is separating the AI failures from successes: skip the proof of concept. When it comes to AI projects go right for pilot projects. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss AI Pilots vs. Proof of Concepts.

AI Pilots vs. Proof of Concepts

A proof-of-concept is a project that is a trial or test run to illustrate if something is even possible and to prove your technology works.

Continue reading Skip the AI Proof of Concept [AI Today Podcast] at Cognilytica.

AI and generative AI is proving transformational in every industry. This includes long established industries like insurance. In particular, the growth of generative AI in the insurance and insurtech space in showing tremendous potential. In this episode of AI Today we interview Connor Atchison (CEO) & Itay Mishan (CTO) at Wisedocs.

How is AI used in the insurance industry?

Continue reading How AI is Transforming Insurance: Interview with Connor Atchison & Itay Mishan, Wisedocs [AI Today Podcast] at Cognilytica.

Artificial intelligence has been on the horizon for over seventy years. In fact, the term AI was officially coined in 1956. So, why does it seem so close but also so unattainable? In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss the question: Are we still repeating the same mistakes with AI?

Continue reading Are We Still Repeating the Same Mistakes with AI? [AI Today Podcast] at Cognilytica.

AI projects aren’t dying because of big problems. Rather it’s the small things that are causing projects to fail. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss what iteration really means for AI projects.

Continuous Model Iteration

We always say that AI projects are never set it and forget it.

Continue reading What Iteration Really Means with AI [AI Today Podcast] at Cognilytica.

Move Fast and Break Things worked for high flying Silicon Valley startup megatech companies but it doesn’t work for AI projects. Between 70%-80% of AI projects are failing to meet their objectives. With stats like this, it’s clear that breaking things isn’t leading to success in AI. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer dig into this topic.

Continue reading Why “Move Fast and Break Things” Doesn’t Work for AI [AI Today Podcast] at Cognilytica.

One of the most vexing problems in even today’s highly capable intelligence systems is for systems to actually understand what they are generating as output. Repeating a pattern, even a sophisticated pattern, while showing good knowledge of the pattern, doesn’t really help if the system doesn’t really understand what it is generating.  In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss this DIKUW pyramid and why the “U” understanding level is a critical, but often left out, layer of the pyramid.

Continue reading The Necessary (and often Missing) “U” in the DIKUW Pyramid [AI Today Podcast] at Cognilytica.

Soft skills are increasingly becoming important for AI, and in particular Generative AI. Collaboration can accelerate learning, creativity, and innovation. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss the critical skill of collaboration.

Why Collaboration skills are needed for AI

In this episode we discuss why collaboration skills are important to improve your interaction with AI systems.

Continue reading Soft Skills for AI: Why Collaboration is Key for AI Success [AI Today Podcast] at Cognilytica.

AI is being adopted by many organizations and they are seeing dramatic improvement, increased productivity, and cost savings. However, government at all levels, including local governments, are also seeing dramatic improvements when adopting AI. On this episode of AI Today we interview Roxy Ndebumadu. She is the District 4 Councilmember at Bowie, MD City Council.

Continue reading AI in Local Government: Interview with Roxy Ndebumadu [AI Today Podcast] at Cognilytica.

Effective communication is vital for enhancing both human-to-machine and human-to-human interactions with AI. Clear communication ensures more accurate and optimal outputs from AI systems. Additionally, AI tools can improve our communication skills by helping us better articulate and present our ideas and creative needs. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer continue with the soft skills series and discuss the soft skill of communication.

Continue reading Unlocking the power of Communication with AI [AI Today Podcast] at Cognilytica.

Creativity is a uniquely human trait that allows for the expression of individuality and a range of emotions. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer continue with our soft skills series discussing creativity.

AI, especially generative AI, is transforming personal and professional tasks like writing, report generation, and image creation, making them easier and more accessible.

Continue reading Soft Skills for AI: The Necessity & Enhancement of Creativity with AI [AI Today Podcast] at Cognilytica.

On May 17, 2024, Governor Jared Polis signed SB24-205, a pioneering law to protect Colorado consumers using AI systems. The legislation mandates transparency and accountability, ensuring AI technologies are developed ethically and fairly. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer interview Rep Manny Rutinel. He is a Colorado State Representative and a Prime Sponsor of the bill in the House.

Continue reading AI Accountability & Colorado’s Trailblazing AI Consumer Law: Interview with Rep Manny Rutinel [AI Today Podcast] at Cognilytica.

Generative AI has significantly influenced content creation, data analysis, and interactive communication, but there is a growing need for intelligent systems to perform tasks with minimal human input. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer dicuss the concept of Agentic AI, including what it is, and why it’s becoming popular.

Continue reading The Rise of Agentic AI [AI Today Podcast] at Cognilytica.

Companies of all sizes across the globe in just about every single industry are looking to see how AI can provide them a competitive edge. They want AI to provide efficiencies and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity in the field of AI for project professionals who are CPMAI certified and follow the CPMAI methodology.

Continue reading Applying CPMAI Methodology to AI Projects: Interview with Laetitia Callegari [AI Today Podcast] at Cognilytica.

The widespread adoption and use of generative AI means that folks no longer need to be an expert in “hard” skills such as statistics & probability, calculus, or linear algebra to get value from using Generative AI. Instead, the need to use soft skills such as communication, curiosity, problem solving, and adaptability is becoming more important.

Continue reading Why Critical Thinking is Crucial for AI [AI Today Podcast] at Cognilytica.

The Four-Part AI-Enabled Vision of the Future

In 2018, when at the time we thought AI hype couldn’t get any more hype-y, we at Cognilytica spent time thinking about what the broad implications of AI would be on our individual lives, our business and work lives, and on society in general. This thinking led us to put together our four-part vision we called the “AI-Enabled Vision of the Future”.

Continue reading Cognilytica’s AI-Enabled Vision of the Future: Pervasive Knowledge [AI Today Podcast] at Cognilytica.

The Four-Part AI-Enabled Vision of the Future

In 2018, when at the time we thought AI hype couldn’t get any more hype-y, we at Cognilytica spent time thinking about what the broad implications of AI would be on our individual lives, our business and work lives, and on society in general. This thinking led us to put together our four-part vision we called the “AI-Enabled Vision of the Future”.

Continue reading Cognilytica’s AI-Enabled Vision of the Future: Enhancing the Human Experience [AI Today Podcast] at Cognilytica.

The Four-Part AI-Enabled Vision of the Future

In 2018, when at the time we thought AI hype couldn’t get any more hype-y, we at Cognilytica spent time thinking about what the broad implications of AI would be on our individual lives, our business and work lives, and on society in general. This thinking led us to put together our four-part vision we called the “AI-Enabled Vision of the Future”.

Continue reading Cognilytica’s AI-Enabled Vision of the Future: AI-Augmented Everything [AI Today Podcast] at Cognilytica.

The Four-Part AI-Enabled Vision of the Future

In 2018, when at the time we thought AI hype couldn’t get any more hype-y, we at Cognilytica spent time thinking about what the broad implications of AI would be on our individual lives, our business and work lives, and on society in general. This thinking led us to put together our four-part vision we called the “AI-Enabled Vision of the Future”.

Continue reading Cognilytica’s AI-Enabled Vision of the Future: The AI-Enhanced Organization [AI Today Podcast] at Cognilytica.

Back in 2018, when at the time we thought AI hype couldn’t get any more hype-y, we at Cognilytica spent time thinking about what the broad implications of AI would be on our individual lives, our business and work lives, and on society in general. This thinking led us to put together our four-part vision we called the “AI-Enabled Vision of the Future”.

Continue reading Cognilytica’s AI-Enabled Vision of the Future – UPDATED [AI Today Podcast] at Cognilytica.

Generative AI is one of the most accessible forms of AI currently available. While in the past, you might have used AI without knowing it, you can use Generative AI purposefully in ways that have immediate and dramatic impact on your daily life. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss what soft skills are necessary to get what we want out of Generative AI.

Continue reading Prompt Engineering Best Practices: Soft Skills [AI Today Podcast] at Cognilytica.

AI, and in particular generative AI, is having a profound impact on just about every industry. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer interview Saby Waraich to discuss AI’s impact on Project Management. Saby is CIO at Clackamas Community College and and speaking at the PMI Austin, TX Professional Development Day May 2, 2024.

Continue reading AI’s Impact on Project Management: Interview with Saby Waraich [AI Today Podcast] at Cognilytica.

Effective communication is an important skill to have. And, in this AI-era it’s more important than ever. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer interview Patti DeNucci. She is an author, speaker, workshop facilitator, consultant and keynoting the PMI Austin, TX Professional Development Day May 2, 2024.

How does AI impact communication?

Continue reading AI’s Impact on Communication skills: Interview with Patti DeNucci [AI Today Podcast] at Cognilytica.

Experimenting, testing, and refining your prompts are essential. The journey to crafting the perfect prompt often involves trying various strategies to discover what works best for your specific needs. A best practice is to constantly experiment, practice, and try new things using an approach called “hack and track”. This is where you use a spreadsheet or other method to track what prompts work well as you experiment.

Continue reading Prompt Engineering Best Practices: Hack and Track [AI Today Podcast] at Cognilytica.

Plugins for Large Language Models (LLMs) are additional tools or extensions that enhance the LLM’s capabilities beyond its base functions. In this episode hosts Kathleen Walch and Ron Schmelzer discuss this topic in greater detail.

Can I use plugins with ChatGPT?

Plugins can access external databases, perform specific computations, or interact with other software and APIs to fetch real-time data, execute code, and more.

Continue reading Prompt Engineering Best Practices: Using Plugins [AI Today Podcast] at Cognilytica.

As folks continue to use LLMs, best practices are emerging to help users get the most out of LLMs. OpenAI’s ChatGPT allows users to tailor responses to match their tone and desired output goals. Many have reported that using custom instructions results in much more accurate, precise, consistent, and predictable results. But why would you want to do this and why does it matter?

Continue reading Prompt Engineering Best Practices: Using Custom Instructions [AI Today Podcast] at Cognilytica.

Companies of all sizes in every industry are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can provide them a competitive edge. They want to provide efficiencies and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity in the field of AI for professionals who are CPMAI certified and follow the CPMAI methodology.

Continue reading Applying CPMAI Methodology in the real world: Interview with George Fountain, Booz Allen Hamilton (BAH) [AI Today Podcast] at Cognilytica.

To improve the reliability and performance of LLMs, sometimes you need to break large tasks/prompts into sub-tasks. Prompt chaining is when a task is split into sub-tasks with the idea to create a chain of prompt operations. Prompt chaining is useful if the LLM is struggling to complete your larger complex task in one step. 

Continue reading Prompt Engineering Best Practices: What is Prompt Chaining? [AI Today Podcast] at Cognilytica.

LLMs are basically big “text predictors” that try to generate outputs based on what it expects is the most likely desired output based on what the user provides as the text-based input, the prompt. Prompts are natural language instructions for an LLM provided by a human so that it will deliver the desired results you’re looking for.

Continue reading Prompt Engineering Best Practices: Using a Prompt Pattern [AI Today Podcast] at Cognilytica.

AI is helping to re-imagine experiences of all sorts, including air travel. At the 2024 SXSW Conference and Festivals Bernadette Berger, who is Director of Innovation at Alaska Airlines presents on “The Sky’s the Limit: How AI will Re-imagine Airports”. In this episode of the AI Today podcast hosts and AI thought leaders Kathleen Walch and Ron Schmelzer have the opportunity to interview Bernadette.

Continue reading How AI will Re-imagine Air Travel: Interview with Bernadette Berger, Alaska Airlines [AI Today Podcast] at Cognilytica.

AI is having an impact on every industry, including healthcare. AI’s impact in the practice of medicine is helping to reshape the practice of medicine both now, and in the future. In this episode of the AI Today podcast we interview Dr. Jag Singh. He is a Professor of Medicine at Harvard Medical School, focusing on the application of AI in the practice of medicine.

Continue reading AI’s impact in the practice of medicine: Interview with Dr. Jag Singh, Mass General Brigham [AI Today Podcast] at Cognilytica.

During the SXSW 2024 event, Wei Li presented on AI Everywhere with Software and Hardware. In this episode of the AI Today podcast we interview Wei Li. He is VP/GM of the AI Software Engineering Team at Intel.

He shares with what insights from that talk and what he means by AI being everywhere in both hardware and software.

Continue reading AI Everywhere with Software and Hardware: Interview with Wei Li, Intel [AI Today Podcast] at Cognilytica.

As organizations continue to adopt AI the idea of innovation and sustainability are becoming important conversations. Intel wants to accelerate AI adoption by lowering barriers to entry for customers. In this episode of the AI Today podcast we interview Nuri Cankaya. He is the VP of AI Marketing at Intel.

Nuri sheds light on the myriad challenges faced by companies as they navigate the integration of AI with real-world data.

Continue reading Lowering Barriers to Entry for AI: Interview with Nuri Cankaya, Intel [AI Today Podcast] at Cognilytica.

AI is having an impact on just about every industry and healthcare is no exception. In this episode of the AI Today podcast Cognilytica AI thought leaders Kathleen Walch and Ron Schmelzer interview Dr. Jesse Ehrenfeld. He is President of the American Medical Association (AMA). He also recently spoke at the 2024 SXSW Conference and Festivals.

Continue reading AI’s Impact on Healthcare: Interview with Dr. Jesse Ehrenfeld, AMA [AI Today Podcast] at Cognilytica.

The people side of AI is changing. Generative AI is reshaping how teams brainstorm, collaborate, and embrace the future. In this episode of the AI Today podcast we interview Ian Beacraft who is CEO at Signal and Cipher, and also CPMAI certified.

Is AI helping or hurting society?

In recent years the idea of responsible, ethical, and trustworthy AI has gained a lot of attention.

Continue reading The People Side of AI: Interview with Ian Beacraft, Signal and Cipher [AI Today podcast] at Cognilytica.

The Explainable AI Layer of the Cognilytica Trustworthy AI Framework addresses the technical methods that go into understanding system behavior and make black boxes less so. In this episode of the AI Today podcast Cognilytica AI experts Ron Schmelzer and Kathleen Walch discuss the interpretable and explainable AI layer.

The Explainable AI Layer

Separate from the notion of transparency of AI systems is the concept of AI algorithms being able to explain how they arrived at particular decisions.

Continue reading Explainable AI Concepts [AI Today Podcast] at Cognilytica.

Who is on the AI Team?

Continue reading Who is on the AI Team? [AI Today podcast] at Cognilytica.

Anyone looking to use and/or develop AI systems need ways that maintain trust, provide visibility and transparency, and utilize processes and methods that can provide greater oversight and accountability for potent AI systems that need to address – the layers of trustworthy AI. In this episode of the AI Today podcast Cognilytica thought leaders Kathleen Walch and Ron Schmelzer go over the Governed AI layer of the Cognilytica Trustworthy AI Framework.

Continue reading Governed AI Concepts [AI Today Podcast] at Cognilytica.

What are you really spending on in an AI Project? This is a question we often get asked. So, we wanted to spend some time on this podcast to discuss how to determine AI project costs.

First, it’s important to remember that it all comes down to scope. Our motto: Think Big. Start Small.

Continue reading Determining AI Project Costs [AI Today Podcast] at Cognilytica.

AI system transparency is about how we manage and run our AI systems. Transparency needs to address how you plan to provide visibility or transparency into how AI systems are created or applied. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss the transparent layer of AI as part of Cognilytica’s Trustworthy AI Framework.

Continue reading Transparent AI Concepts [AI Today Podcast] at Cognilytica.

The best practice for any high risk, emerging technology project with ill-defined goals is: Think Big. Start Small. Iterate Often. But, what does that really mean? How do you think big? And how do you start small? What does iteration look like? And how does this connect to project scope? In this episode of the AI Today podcast we discuss what it means to think big when it comes to AI.

Continue reading Properly Scoping AI Projects [AI Today Podcast] at Cognilytica.

In the context of technology adoption, “crossing the chasm” refers to the pivotal moment when an emerging technology moves beyond the early adopters and innovators phase to reach the early majority of users. This concept, popularized by Geoffrey A. Moore in his book “Crossing the Chasm,” highlights the gap or “chasm” that exists between the initial acceptance of a technology by enthusiasts and visionaries and its broader acceptance by a more pragmatic, mainstream market.

Continue reading Has AI Crossed the Chasm? [AI Today Podcast] at Cognilytica.

What is pseudo AI?

While AI is all about machines that have the intelligence like people, Pseudo AI or “AI washing” is when a company or product claims that AI is being used for a specific task or feature, but in reality, it’s people doing that task. In the startup world, “faking it until you make it”, is a common practice.

Continue reading Pseudo AI: Still a Thing, Still a Problem [AI Today Podcast] at Cognilytica.

What is Data Debt?

Organizations are awash with data. And data has been growing at organizations for decades. Data is accumulating across many different systems, processes, and as organizations evolve, merge, and change. What comes out of this is the idea of data debt, which is the accumulation of data-related problems over time as a result of the accumulation of data systems.

Continue reading AI Education Series: Data Debt [AI Today Podcast] at Cognilytica.

What is a responsible AI?

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas.

Continue reading Trustworthy AI Series: Responsible AI Concepts [AI Today Podcast] at Cognilytica.

What can possibly go wrong when you embed someone else’s AI models in your systems? This episode of the AI Today podcast aims to answer this question. And, provide alternative options to Open Source AI. Despite the increasingly walled garden that is becoming the Large Language Models (LLMs) such as OpenAI’s ChatGPT, organizations are creating and embedding AI solutions powered by third-party models they have little visibility and control into.

Continue reading The Increasingly Anti-Competitive World of AI and Open Source AI [AI Today Podcast] at Cognilytica.

What are the 5 ethics in artificial intelligence?

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly.

Continue reading Trustworthy AI Series: Ethical AI Concepts [AI Today Podcast] at Cognilytica.

What is a Chief AI Officer (CAIO)?

There has been a lot of talk lately, including a new executive order in the US, about the need for a Chief AI Officer. But, what is this role? And, is it really needed? We wanted to spend some time in today’s podcast revisiting a topic we first wrote about in 2019.

Continue reading Do you need a Chief AI Officer? [AI Today Podcast] at Cognilytica.

In an era where Artificial Intelligence is revolutionizing various industries, professionals equipped with the right skills and certifications are in high demand. The Certified Project Management for AI (CPMAI) certification is a game-changer for those seeking to excel in planning, managing, and executing AI and ML projects. And for those looking to grow critical AI and data skills.

Continue reading Growing Key AI and Data Skills with CPMAI: Interview with Selvie Thevathasan [AI Today Podcast] at Cognilytica.

How can AI be trustworthy?

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough for organizations. You need to know how to build, use, and interact with these systems ethically and responsibly.

Continue reading The Layers of Trustworthy AI Revisited [AI Today Podcast] at Cognilytica.

It’s hard to have a conversation about AI these days without the topics of Generative AI and Large Language Models (LLMs) coming up. And, Large Language Models (LLMs) have been proving useful for a variety of things such as helping write text, write code, generate images, and help augment human workers. However, as people are using LLMs, they are demanding even greater accuracy and relevance to their specific industry and/or topic area.

Continue reading AI Glossary Series: Retrieval Augmented Generation (RAG) [AI Today Podcast] at Cognilytica.

In today’s fast paced landscape, AI has emerged as a transformative technology. It’s being used as an augmented intelligence tool to help people do their job and tasks better. AI is also being used to help people create content and art. It’s being used to make decisions, both big and small. Loan decisions, product recommendations, movie recommendations, and so much more.

Continue reading Overview of the Comprehensive Trustworthy AI Framework [AI Today Podcast] at Cognilytica.

How many categories of AI are there?

Artificial Intelligence and machine learning is maturing considerably. You can now find AI projects in every industry. At Cognilytica, we spend a considerable amount of time on use cases and how different industries are using AI. As we analyze hundreds of different use cases, interact with many customers, deliver our AI and ML training courses, and write dozens of articles we find that there are seven common patterns that seem to continuously show up in all these use cases.

Continue reading Revisiting the Seven Patterns of AI in 2024 [AI Today Podcast] at Cognilytica.

Companies of all sizes in just about every single industry across the globe are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can provide a competitive edge, provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity in the field of AI for professionals who are CPMAI certified and follow the CPMAI methodology.

Continue reading Applying CPMAI Methodology to AI Projects: Interview with Christina Kucek, CAI [AI Today Podcast] at Cognilytica.

Facial recognition falls under the recognition pattern of AI. On it’s own the technology is neutral. However, it’s the application and use (or misuse) of this technology that can have severe consequences. Rite Aid is one of the most recent companies to come under fire for their use of facial recognition. In this episode of the AI Today podcast we explore what happened that that caused the FTC to give retailer Rite Aid fa facial recognition ban for 5 years.

Continue reading Trustworthy AI Best Practices: Lessons Learned from the Rite Aid Facial Recognition Ban [AI Today Podcast] at Cognilytica.

Hyperpersonalization is focused on machine learning approaches that can develop a profile of an individual that can evolve over time rather than categorizing or “bucketing” an individual into a pre-defined category. One of the seven patterns of AI, the goal is to treat each individual as an individual. As you can imagine, this is a marketers dream.

Continue reading AI Today Podcast: Hyperpersonalization at Diageo: Interview with Nick Owen, Diageo at Cognilytica.

AI projects are really data-centric projects. After all, data is the heart of AI. So it should come as no surprise that project managers who are managing AI projects need to move beyond just general project management skills. These provide a good foundation for managing schedules, resources, and the people needed to meet organizational goals.

Continue reading AI Today Podcast: The Critical AI and Data Skills Needed for AI Project Managers at Cognilytica.

In this episode of the AI Today podcast we want to look at some of the biggest trends in AI, including where AI is headed in 2024 and what this means for you.

Generative AI Gets Embedded in Everything

The ease and availability of Generative AI makes it easy to embed in everything.

Continue reading AI Today Podcast: Looking ahead at AI (and AI Today) in 2024 at Cognilytica.

In this episode of the AI Today podcast we want to take a look back at some of the highlights in AI, including headline-making AI news. 2023 was the year for generative AI. It was also the year for Trustworthy AI.

Generative AI all day, every day

Despite a pullback in other areas, Venture Capital investment in AI continues to be hot in 2023.

Continue reading AI Today Podcast: Looking back at AI in 2023 at Cognilytica.

The EU AI Act is a groundbreaking law that is the first ever law that will regulate AI. It’s the world’s first comprehensive AI law. It’s the first major regulatory framework for AI at a continental level, and the world’s first rules on AI. One of the goals of the AI Act is to provide a comprehensive set of rules for trustworthy AI.

Continue reading AI Today Podcast: The EU AI Act – What does it mean for you? at Cognilytica.

AI continues to have an impact on just about every single industry. Companies are on their AI journey to see how it can help with hypersonalization, improve efficiencies, and help them gain a competitive edge. The Consumer Packaged Goods (CPG) industry is embracing AI in number of ways. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Nandini Nandakumar.

Continue reading AI Today Podcast: How AI is Transforming CPG: Interview with Nandini Nandakumar, Diageo at Cognilytica.

Depending on the type of AI project that you do, it can have different lengths to see ROI. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss the different lengths of time to ROI for different types of AI projects.

Augmented Intelligence is where machines and humans work together to help assist the human to be better at tasks.

Continue reading AI Today Podcast: Different Time to ROI for Different Types of AI Projects at Cognilytica.

We often get asked what projects are appropriate for AI versus other forms of technology. So, we thought it was a great topic for a podcast. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer go over when to do automation versus AI.

Automation is using technology to perform repetitive tasks.

Continue reading AI Today Podcast: When to do Automation Versus AI at Cognilytica.

AI is impacting very about every single industry and pharma is no exception. AI has tremendous potential in streamlining processes, optimizing drug discovery, and enhancing patient care in ways we’ve never seen before. In this episode of the AI Today podcast we have an insightful conversation with Xiong (Sean) Liu. He is the Director of Data Science and AI at Novartis.

Continue reading AI Today Podcast: AI in Pharma – Interview with Xiong (Sean) Liu, Novartis at Cognilytica.

You may have heard the terms proof-of-concept, pilot, and production thrown around relating to various projects at your organization. But, do you know the difference between all of them?

And when running and AI project should you start with a proof-of-concept or pilot project?

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Proof-of-Concept, Pilot, and Production.

Continue reading AI Today Podcast: AI Glossary Series – Proof-of-Concept, Pilot, Production at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Anonymization, General Data Protection Regulation (GDPR), Uncanny Valley, explain how these terms relate to AI and why it’s important to know about them.

If you’re not familiar with the General Data Protection Regulation (GDPR) is a European Union regulation focused on data protection and privacy first published in 2016.

Continue reading AI Today Podcast: AI Glossary Series – Anonymization, General Data Protection Regulation (GDPR), Uncanny Valley at Cognilytica.

Hadoop and MapReduce changed the world of big data. And data is the heart of AI, so it should come as no surprise that talk about big data in the context of AI. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Hadoop, MapReduce, explain how these terms relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Hadoop, MapReduce at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Algorithmic Discrimination, Governance, Pseudo AI. Why are these terms vital in the AI landscape? And what do they mean?

Algorithmic discrimination

If you’re unfamiliar with the term algorithmic discrimination, it’s when bias in data used to train the algorithm can result in unfair decisions and results.

Continue reading AI Today Podcast: AI Glossary Series – Algorithmic Discrimination, Governance, Pseudo AI at Cognilytica.

With the use of malicious AI on the rise, it’s hard to believe anything you read, hear, or see these days. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Malicious AI, Adversarial Attack, DeepFake, explain how these terms relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Malicious AI, Adversarial Attack, DeepFake at Cognilytica.

Companies of all sizes in just about every single industry across the globe are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can provide a competitive edge, provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity in the field of AI and for professionals who are CPMAI certified.

Continue reading AI Today Podcast: CPMAI in the Real World, Interview with Dr. Philipp Schlenkhoff, CPMAI at Cognilytica.

Generative AI continues to be a hot topic discussion. People are using generative AI to help with many things, but just like with any technology it’s important to understand it’s a tool. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss how to actually put Generative AI into the apps and products that you use including how to use it in production.

Continue reading AI Today Podcast: Generative AI Series: Implementing Generative AI in production at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Methodology, Waterfall, Agile, CRISP-DM, Cognitive Project Management for AI (CPMAI).

In this episde we explain how these terms relate to AI and why it’s important to know about them. Just about every single industry is using AI in some shape or form to help streamline and improve processes, increase productivity, gain a competitive edge, and stand out from others.

Continue reading AI Today Podcast: AI Glossary Series- methodology, waterfall, Agile, CRISP-DM, Cognitive Project Management for AI (CPMAI) at Cognilytica.

Conversation is a natural form of communication for humans. Therefore, it should come as no surprise that the future will be AI-Native. But what does an “AI-native future” mean? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Gi Jung Kim who is the CEO and co-founder of Coxwave.

Continue reading AI Today Podcast: Discussing the AI-Native Future: Interview with Gi Jung Kim, CEO & Co-Founder, CoxWave at Cognilytica.

It’s hard to have a conversation about AI these days without the topic of Generative AI coming up. People are using gen AI to help with many things from text creation, image creation, and more. But, just like with any technology, there can be a downside as well. 

However, what happens when we become too reliant on technology?

Continue reading AI Today Podcast: Generative AI Series: How to Avoid Getting Screwed with Generative AI at Cognilytica.

Companies of all sizes in just about every single industry from healthcare to finance to construction are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can provide a competitive edge. They want to be able to have technology provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity for people looking to manage these types of projects.

Continue reading AI Today Podcast: AI in Architecture, Engineering, and Construction (AEC): Interview with Sergio Villanueva-Meyer, CPMAI at Cognilytica.

AI systems have the potential to provide great value. But also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas.

Continue reading AI Today Podcast: Trustworthy AI Series: Explainable & Interpretable AI at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Black Box, Explainable AI (XAI), Interpretable AI, explain how these terms relate to AI and why it’s important to know about them.

📖 Learn about Black Box Technology 📦: Kathleen and Ron will unravel the mystery behind Black Box technology, explaining its connection to deep learning in the realm of artificial intelligence.

Continue reading AI Today Podcast: AI Glossary Series – Black Box, Explainable AI (XAI), Interpretable AI at Cognilytica.

Companies of all sizes in just about every single industry are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can be used. They want to see how AI can provide a competitive edge, provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity for people looking to manage these types of projects.

Continue reading AI Today Podcast: Lessons Learned from AI Project Management: Interview with Jonelle Martinez at Cognilytica.

It’s hard to have a conversation about AI these days without the topic of Generative AI coming up. People are using gen AI to help with many things such as generating content and images. However, just like with any technology there can be a downside as well. In this podcast episode hosts Kathleen Walch and Ron Schmelzer take a deeper look at ge AI.

Continue reading AI Today Podcast: Generative AI Series: The Drawbacks and Challenges of Generative AI at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define terms related to data. Because, data is the heart of AI. So it’s important to understand the role data plays in AI and ML projects. In this episode we go over the terms data engineer, data engineering, and data pipeline.

Continue reading AI Today Podcast: AI Glossary Series- Data Engineer, Data Engineering, Data Pipeline, Data Wrangling, Data feed, Data Governance, Data integration at Cognilytica.

AI systems have the potential to provide great value. But, also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum.

Continue reading AI Today Podcast: Trustworthy AI Series: Governed AI at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer delve into the diverse roles and concepts within the data universe: Data Science, Data Scientist, Citizen Data Scientist/Citizen Developer, and Data Custodian.

Data Science isn’t just a buzzword; it’s the art of transforming raw data into meaningful insights. And Data Scientists may be the sexiest job of the 21st Century, but do you know what they do?

Continue reading AI Today Podcast: AI Glossary Series – Data Science, Data Scientist, Citizen Data Scientist / Citizen Developer, Data Custodian at Cognilytica.

It’s hard to have a conversation about AI these days without the topic of Generative AI coming up. People are using generative AI and LLMs to help with many things. But what do these technologies mean at an organizational level? And how do you apply this technology for your organization?

In this podcast episode hosts Kathleen Walch and Ron Schmelzer take a deeper look at generative AI.

Continue reading AI Today Podcast: Generative AI Series: Foundation Models, Fine-Tuning, and Domain-Specific LLMs at Cognilytica.

Analytics are statistical and other methods to gain informational insight from data. Since data is the heart of AI, it makes sense analytics should be understood. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Analytics, Data Visualization, Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Proscriptive / Projective Analytics.

Continue reading AI Today Podcast: AI Glossary Series – Analytics, Data Visualization, Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Proscriptive / Projective Analytics at Cognilytica.

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas.

Continue reading AI Today Podcast: Trustworthy AI Series: AI System Transparency at Cognilytica.

Companies of all sizes in just about every single industry are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can provide a competitive edge, provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity for people looking to manage these types of projects and there is a significant and growing demand for skilled AI project managers across the whole range of AI capabilities.

Continue reading AI Today Podcast: Lessons Learned from AI Project Management: Interview with Jeff Eason, Salt Lake County Health Department at Cognilytica.

It’s hard to have a conversation about AI these days without the topic of Generative AI coming up. People are using generative AI to help with many things, including creating images. But what do these technologies mean at an organizational level? And how do you apply this technology for your organization? In this podcast episode hosts Kathleen Walch and Ron Schmelzer take a deeper look at generative AI for images, in particular Diffusion Models and Image Generation.

Continue reading AI Today Podcast: Generative AI Series: Diffusion Models and Image Generation at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Data, Dataset, Big Data, DIKUW Pyramid, explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – DevOps, Machine Learning Operations (ML Ops)
• AI Glossary Series – Automated Machine Learning (AutoML)
• AI Glossary Series – Data Preparation, Data Cleaning, Data Splitting, Data Multiplication, Data Transformation
• AI Glossary Series – Data Augmentation, Data Labeling, Bounding box, Sensor fusion
• AI Glossary Series – Data, Dataset, Big Data, DIKUW Pyramid

Continue reading AI Today Podcast: AI Glossary Series – Data Warehouse, Data Lake, Extract Transform Load (ETL) at Cognilytica.

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas.

Continue reading AI Today Podcast: Trustworthy AI Series: Responsible AI at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Data, Dataset, Big Data, DIKUW Pyramid, explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – DevOps, Machine Learning Operations (ML Ops)
• AI Glossary Series – Automated Machine Learning (AutoML)
• AI Glossary Series – Data Preparation, Data Cleaning, Data Splitting, Data Multiplication, Data Transformation
• AI Glossary Series – Data Augmentation, Data Labeling, Bounding box, Sensor fusion
• AI Glossary Series – Data, Dataset, Big Data, DIKUW Pyramid

Continue reading AI Today Podcast: AI Glossary Series – Structured Data, Unstructured Data, Semi-structured Data at Cognilytica.

It’s hard to have a conversation about AI these days without the topics of Generative AI and Large Language Models (LLMs) coming up. But what do these technologies mean at an organizational level? And how do you apply this technology for your organization? In this podcast episode hosts Kathleen Walch and Ron Schmelzer take a deeper look at what generative AI, Transformer Models, and LLMs are.

Continue reading AI Today Podcast: Generative AI Series: Generative AI & Large Language Models (LLMs) – How Do They Work? at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms V’s of Big Data, Data Volume, Exabyte / Petabyte / Yottabyte / Zettabyte, Data Variety, Data Velocity, Data Veracity, explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – DevOps, Machine Learning Operations (ML Ops)
• AI Glossary Series – Automated Machine Learning (AutoML)
• AI Glossary Series – Data Preparation, Data Cleaning, Data Splitting, Data Multiplication, Data Transformation
• AI Glossary Series – Data Augmentation, Data Labeling, Bounding box, Sensor fusion
• AI Glossary Series – Data, Dataset, Big Data, DIKUW Pyramid

Continue reading AI Today Podcast: AI Glossary Series – V’s of Big Data, Data Volume, Exabyte / Petabyte / Yottabyte / Zettabyte, Data Variety, Data Velocity, Data Veracity at Cognilytica.

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas.

Continue reading AI Today Podcast: Trustworthy AI Series: Ethical AI at Cognilytica.

Data is the heart of AI. So, of course we need to have a podcast about data! In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Data, Dataset, Big Data, DIKUW Pyramid.

Data is the basic unit of discrete values that convey meaning, facts, quantities, or other units that computers operate on for further processing, interpretation, and analysis.

Continue reading AI Today Podcast: AI Glossary Series – Data, Dataset, Big Data, DIKUW Pyramid at Cognilytica.

It’s one thing for us to talk about the Cognitive Project Management for AI (CPMAI) Methodology and the benefits it can bring to managers running AI and advanced data projects, but hearing directly how individuals are learning from and are applying the CPMAI Methodology can be incredibly valuable. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Chuck LaBarre, who is Chief Information Officer at ENI and is also CPMAI certified.

Continue reading AI Today Podcast: Applying CPMAI in the Real World – Interview with Chuck LaBarre, ENI at Cognilytica.

Data is critical to making AI and machine learning work. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Data Augmentation, Data Labeling, Bounding box, Sensor fusion.

Data Augmentation are the techniques used to enhance existing data through the use of additional data, manipulations on existing data, or combinations of data in various ways.

Continue reading AI Today Podcast: AI Glossary Series – Data Augmentation, Data Labeling, Bounding box, Sensor fusion at Cognilytica.

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas.

Continue reading AI Today Podcast: Trustworthy AI Series: The Layers of Trustworthy AI at Cognilytica.

Data is the heart of AI. So, therefore doing things associated with your data is going to be critical for AI projects. This includes Data Preparation, Data Cleaning, Data Splitting, Data Multiplication, and Data Transformation.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms above and explain why they are important for AI projects.

Continue reading AI Today Podcast: AI Glossary Series – Data Preparation, Data Cleaning, Data Splitting, Data Multiplication, Data Transformation at Cognilytica.

For anyone who has used or interacted with an AI system you know that trust is required for AI systems if you want them to deliver any meaningful benefit. And once trust is lost, it’s almost impossible to gain back. Therefore, making Trustworthy, ethical & responsible AI a reality is not just a policy statement or a press release.

Continue reading AI Today Podcast: Trustworthy AI Series: Why are trustworthy, ethical and responsible AI systems necessary? at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Robotic Process Automation (RPA), Attended bots, Unattended bots, Low Code, No Code, explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – DevOps, Machine Learning Operations (ML Ops)
• AI Glossary Series – Automated Machine Learning (AutoML)
• AI Today Podcast: Roadmap Series: Getting Started on the Automation to Intelligence Journey
• AI Today Podcast Roadmap Series: From Automation to Intelligence – What should we automate and why
• AI Today Podcast: Automation to Intelligence Roadmap Series – What is a Business Process?

Continue reading AI Today Podcast: AI Glossary Series – Robotic Process Automation (RPA), Attended bots, Unattended bots, Low Code, No Code at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Automation, Robot, Robotics, Collaborative Robot (Cobot), explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – DevOps, Machine Learning Operations (ML Ops)
• AI Glossary Series – Automated Machine Learning (AutoML)
• AI Today Podcast: Roadmap Series: Getting Started on the Automation to Intelligence Journey
• AI Today Podcast Roadmap Series: From Automation to Intelligence – What should we automate and why
• AI Today Podcast: Automation to Intelligence Roadmap Series – What is a Business Process?

Continue reading AI Today Podcast: AI Glossary Series – Automation, Robot, Robotics, Collaborative Robot (Cobot) at Cognilytica.

AI is proving transformational in every industry, including long established industries, and insurance is no exception. AI is able to optimize underwriting processes, enable more personalized insurance offerings, enhance the overall customer experience, as well as help with process improvements.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Connor Atchison who is the CEO of Wisedocs, a medical record review machine learning software for insurance carriers, healthcare providers, laws firms, and TPAs.

Continue reading AI Today Podcast: How AI is Transforming Insurance, Interview with Connor Atchison, Wisedocs at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Data Science Notebooks, Jupyter, Colab, explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Data Drift, Model Drift, Model Retraining
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
• Glossary Series – Machine Learning Development Languages: Python, R, Julia, Scala

Continue reading AI Today Podcast: AI Glossary Series – Data Science Notebooks, Jupyter, Colab at Cognilytica.

Many organizations want to do AI, but the technical skills needed can present a challenge. Not all organizations have data scientists on hand. Yet, many organizations still want to benefits of AI. In recent years there have been tools and platforms created to help automate many of the aspects of building and developing ML models that previously required very specialized skills and talent.

Continue reading AI Today Podcast: AI Glossary Series – Automated Machine Learning (AutoML) at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Machine Learning Tools: Keras, PyTorch, Scikit Learn, TensorFlow, Apache Spark, Kaggle, explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
• Glossary Series: Bias, Weight, Activation Function, Convergence, ReLU
• Glossary Series: Perceptron
• Glossary Series: Hidden Layer, Deep Learning
• Glossary Series: Loss Function, Cost Function & Gradient Descent
• Glossary Series: Backpropagation, Learning Rate, Optimizer
• Glossary Series: Feed-Forward Neural Network
• AI Glossary Series – Machine Learning, Algorithm, Model

Continue reading AI Today Podcast: AI Glossary Series – Machine Learning Tools: Keras, PyTorch, Scikit Learn, TensorFlow, Apache Spark, Kaggle at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Machine Learning Development Languages: Python, R, Julia, Scala, explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
• Glossary Series: Hidden Layer, Deep Learning
• Glossary Series: Loss Function, Cost Function & Gradient Descent
• Glossary Series: Backpropagation, Learning Rate, Optimizer
• Glossary Series: Feed-Forward Neural Network
• AI Glossary Series – Machine Learning, Algorithm, Model
• AI Glossary Series – Model Tuning and Hyperparameter
• AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff

Continue reading AI Today Podcast: AI Glossary Series – Machine Learning Development Languages: Python, R, Julia, Scala at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms DevOps, Machine Learning Operations (ML Ops), explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Data Drift, Model Drift, Model Retraining
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer

Continue reading AI Today Podcast: AI Glossary Series – DevOps, Machine Learning Operations (ML Ops) at Cognilytica.

Data is the heart of AI. Which is why having good, clean data is so critical. But what happens when your data changes of over? What does that do to your models? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss the terms Data Drift, Model Drift, and Model Retraining.

Continue reading AI Today Podcast: AI Glossary Series – Data Drift, Model Drift, Model Retraining at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Cloud ML, On-Premise, Edge Device, Machine Learning -as-a-Service (MLaaS), explain how these terms relates to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: Training Data, Epoch, Batch, Learning Curve
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
• Glossary Series: Bias, Weight, Activation Function, Convergence, ReLU
• Glossary Series: Perceptron
• Glossary Series: Hidden Layer, Deep Learning
• Glossary Series: Loss Function, Cost Function & Gradient Descent
• Glossary Series: Backpropagation, Learning Rate, Optimizer
• Glossary Series: Feed-Forward Neural Network
• Glossary Series: OpenAI, GPT, DALL-E, Stable Diffusion
• Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition
• AI Glossary Series – Machine Learning, Algorithm, Model
• AI Today Podcast: AI Glossary Series – Batch Prediction, Microservice, Real-time Prediction, Stream Learning, Cold-Path Analytics, Hot-Path Analytics

This episode is sponsored by Algolia:

Algolia Powers Discovery.

Continue reading AI Today Podcast: AI Glossary Series – Cloud ML, On-Premise, Edge Device, Machine Learning -as-a-Service (MLaaS) at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Batch Prediction, Microservice, Real-time Prediction, Stream Learning, Cold-Path Analytics, and Hot-Path Analytics, explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: Training Data, Epoch, Batch, Learning Curve
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
• Glossary Series: Bias, Weight, Activation Function, Convergence, ReLU
• Glossary Series: Perceptron
• Glossary Series: Hidden Layer, Deep Learning
• Glossary Series: Loss Function, Cost Function & Gradient Descent
• Glossary Series: Backpropagation, Learning Rate, Optimizer
• Glossary Series: Feed-Forward Neural Network
• Glossary Series: OpenAI, GPT, DALL-E, Stable Diffusion
• Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition
• AI Glossary Series – Machine Learning, Algorithm, Model
• AI Glossary Series – Model Tuning and Hyperparameter
• AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff
• AI Glossary Series: Operationalization
• Interview with Alex Measure, BLS

This episode is sponsored by Algolia:

Algolia Powers Discovery.

Continue reading AI Today Podcast: AI Glossary Series – Batch Prediction, Microservice, Real-time Prediction, Stream Learning, Cold-Path Analytics, Hot-Path Analytics at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Operationalization, explain how this term relates to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: Training Data, Epoch, Batch, Learning Curve
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
• Glossary Series: Bias, Weight, Activation Function, Convergence, ReLU
• Glossary Series: Perceptron
• Glossary Series: Hidden Layer, Deep Learning
• Glossary Series: Loss Function, Cost Function & Gradient Descent
• Glossary Series: Backpropagation, Learning Rate, Optimizer
• Glossary Series: Feed-Forward Neural Network
• Glossary Series: OpenAI, GPT, DALL-E, Stable Diffusion
• Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition
• AI Glossary Series – Machine Learning, Algorithm, Model
• For more information on visit Algolia website
• FREE CPMAI Intro Course
• Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition
• Glossary Series: Tokenization, Vectorization

This episode is sponsored by Algolia:

Algolia Powers Discovery.

Continue reading AI Today Podcast: AI Glossary Series – Operationalization at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Digital Transformation, Return on Investment (ROI), and Key Performance Indicator (KPI), explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary

• For more information on visit Algolia website
• Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition
• Glossary Series: Tokenization, Vectorization

This episode is sponsored by Algolia:

Algolia Powers Discovery.

Continue reading AI Today Podcast: AI Glossary – Digital Transformation, Return on Investment (ROI), Key Performance Indicator (KPI) at Cognilytica.

In this episode of the AI Today Podcast hosts Kathleen Walch and Ron Schmelzer get to talk to Sean Mullaney who is the Chief Technology Officer (CTO) at Algolia. We discuss how AI is revolutionizing e-commerce. Sean shares how vectorization is being used to enhance the relevance and personalization of search results for e-commerce businesses.

Continue reading AI Today Podcast: Revolutionizing AI-Driven E-commerce Strategy, Interview with Sean Mullaney, Algolia at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Confusion Matrix, Accuracy, Precision, F1, Recall, Sensitivity, Specificity, Receiver-Operating Characteristic (ROC) Curve, explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: Training Data, Epoch, Batch, Learning Curve
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
• Glossary Series: Bias, Weight, Activation Function, Convergence, ReLU
• Glossary Series: Perceptron
• Glossary Series: Hidden Layer, Deep Learning
• Glossary Series: Loss Function, Cost Function & Gradient Descent
• Glossary Series: Backpropagation, Learning Rate, Optimizer
• Glossary Series: Feed-Forward Neural Network
• Glossary Series: OpenAI, GPT, DALL-E, Stable Diffusion
• Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition
• AI Glossary Series – Machine Learning, Algorithm, Model
• AI Glossary Series – Model Tuning and Hyperparameter
• AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff
• Glossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary

Continue reading AI Today Podcast: AI Glossary Series – Confusion Matrix, Accuracy, Precision, F1, Recall, Sensitivity, Specificity, Receiver-Operating Characteristic (ROC) Curve at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Model Validation, Validation Data, Test Data, Cross-Validation, explain how these terms relate to AI and why it’s important to know about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts?

Continue reading AI Today Podcast: AI Glossary Series – Model Validation, Validation Data, Test Data, and Cross-Validation at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Model Tuning and Hyperparameter, explain how these terms relate to AI and why it’s important to know about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Want to learn how to apply AI and data using hands-on approaches and the latest technologies?

Continue reading AI Today Podcast: AI Glossary Series – Model Tuning and Hyperparameter at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss and define at a high level the terms OpenAI, GPT, DALL-E, and Stable Diffusion, and share why you should know these terms and how they relate to the overall AI landscape.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts?

Continue reading AI Today Podcast: AI Glossary Series – OpenAI, GPT, DALL-E, Stable Diffusion at Cognilytica.

Large Language Models (LLMs) are all the rage these days. It’s hard to have a conversation about AI without ChatGPT, Google Bard, or LLMs being brought up. However, what if these LLMs could learn more about you individually and provide a much more hyperpersonalized experience and responses?! In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Dmitry Shapiro who is CEO of YouAi.

Continue reading AI Today Podcast: Digitizing the Mind: Interview with Dmitry Shapiro, YouAi at Cognilytica.

Transformer models have proven to be especially powerful for Natural Language Processing applications and image generation, and have been popularized by models such as GPT-3, Stable diffusion, and BERT. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Transformer Networks, explain how these terms relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast – AI Glossary Series: Transformer Networks at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Boltzmann Machine, explain how these terms relate to AI and why it’s important to know about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Want to learn how to apply AI and data using hands-on approaches and the latest technologies?

Continue reading AI Today Podcast: AI Glossary Series – Boltzmann Machine at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Decoder, AutoEncoder, Generative Adversarial Network (GAN), explain how these terms relate to AI and why it’s important to know about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts?

Continue reading AI Today Podcast: AI Glossary Series – Encoder-Decoder, AutoEncoder, and Generative Adversarial Network (GAN) at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Convolutional Neural Network (CNN), explain how these terms relate to AI and why it’s important to know about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Want to learn how to apply AI and data using hands-on approaches and the latest technologies?

Continue reading AI Today Podcast: AI Glossary Series – Convolutional Neural Network (CNN) at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Recurrent Neural Networks (RNN) and Long-Short Term Memory (LSTM), explain how these terms relate to AI and why it’s important to know about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts?

Continue reading AI Today Podcast: AI Glossary Series – Recurrent Neural Networks (RNN) and Long-Short Term Memory (LSTM) at Cognilytica.

Usually used as a simple example for how deep learning neural networks work, a feed-forward neural network is the most basic, “vanilla” general kind of neural network. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Feed-Forward Neural Network, explain how these terms relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Feed-Forward Neural Network at Cognilytica.

In order for machine learning systems to work, they need to be trained on data. But there are different types of data and depending on the situation you may want to use one type of data over another, or a combination of different types. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms “Ground Truth” Data and Synthetic Data, explain how these terms relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – “Ground Truth” Data and Synthetic Data at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Pre-Trained Model and Transfer Learning, explain how these terms relate to AI and why it’s important to know about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts?

Continue reading AI Today Podcast: AI Glossary Series – Pre-Trained Model and Transfer Learning at Cognilytica.

As AI applications become more complex and data-intensive, the need for scalable and efficient storage solutions becomes increasingly important. AI models require vast amounts of data to be processed, and as the size and complexity of these models continue to grow, so does the need for more storage. Storage considerations are critical for both the training and the deployment of AI models.

Continue reading AI Today Podcast: Why Data Storage Matters When it Comes to AI: Interview with Justin Emerson, Pure Storage at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms CPU, GPU, TPU, and Federated Learning, explain how these terms relate to AI and why it’s important to know about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts?

Continue reading AI Today Podcast: AI Glossary Series – CPU, GPU, TPU, and Federated Learning at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Tokenization and Vectorization, explain how these terms relates to AI and why it’s important to know about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Want to learn how to apply AI and data using hands-on approaches and the latest technologies?

Continue reading AI Today Podcast: AI Glossary Series – Tokenization and Vectorization at Cognilytica.

In order for machine learning systems to work they need to be trained on data. But as the old saying goes “garbage in is garbage out” so you need to make sure you have a dataset of prepared data that is cleaned so you can incrementally train a machine learning model to perform a particular task.

Continue reading AI Today Podcast: AI Glossary Series – Training Data, Epoch, Batch, Learning Curve at Cognilytica.

Backpropagation was one of the innovations by Geoff Hinton that made deep learning networks a practical reality. But have you ever heard of that term before and know what it is at a high level? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Backpropagation, Learning Rate, and Optimizer, explain how these terms relates to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Backpropagation, Learning Rate, and Optimizer at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Loss Function, Cost Function and Gradient Descent, explain how these terms relates to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: Artificial Intelligence
• Glossary Series: Artificial General Intelligence (AGI), Strong AI, Weak AI, Narrow AI
• Glossary Series: Heuristic & Brute-force Search
• AI Glossary Series – Machine Learning, Algorithm, Model
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
• Glossary Series: Bias, Weight, Activation Function, Convergence, ReLU
• Glossary Series: Perceptron
• Glossary Series: Hidden Layer, Deep Learning

Continue reading AI Today Podcast: AI Glossary Series – Loss Function, Cost Function and Gradient Descent at Cognilytica.

Deep Learning is powering this current wave of AI interest. But do you really know what Deep Learning is? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms hidden layer and deep learning, explain how these terms relates to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series- Hidden Layer and Deep Learning at Cognilytica.

The Perceptron was the first artificial neuron. The theory of the perceptron was first published in 1943 by McCulloch & Pitts, and then developed in 1958 by Rosenblatt. So yes, this was developed in the early days of AI. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Perceptron and explain how the term relates to AI and why it’s important to know about it.

Continue reading AI Today Podcast: AI Glossary Series – Perceptron at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Bias, Weight, Activation Function, Convergence, and ReLU and explain how they relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Machine Learning, Algorithm, Model
• Glossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning
• Glossary Series: Dimension, Curse of Dimensionality, Dimensionality Reduction
• Glossary Series: Feature, Feature Engineering
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer

Continue reading AI Today Podcast: AI Glossary Series – Bias, Weight, Activation Function, Convergence, and ReLU at Cognilytica.

If we can replicate neurons and how they are connected, can we replicate the behavior of our brains? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms (Artificial) Neural Networks, Node, and layer, and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – (Artificial) Neural Networks, Node (Neuron), Layer at Cognilytica.

For a number of reasons, it can be important to reduce the number of variables or identified features in input training data so as to make training machine learning models faster and more accurate. But what are the techniques for doing this? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Feature Reduction, Principal Component Analysis (PCA), and t-SNE, explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Feature Reduction, Principal Component Analysis (PCA), and t-SNE at Cognilytica.

For time-consuming parts of the machine learning workflow people often look for tricks and techniques to help speed up the process. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms feature and feature engineering, explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Feature and Feature Engineering at Cognilytica.

Regression is a statistical and mathematical technique to find the relationship between two or more variables. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Regression and Linear Regression and explain how they relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Machine Learning, Algorithm, Model
• Glossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning
• Glossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary
• Glossary Series: Clustering, Cluster Analysis, K-Means, Gaussian Mixture Model

Continue reading AI Today Podcast: AI Glossary Series – Regression and Linear Regression at Cognilytica.

The idea of grouping similar types of data together is the main idea behind clustering. Clustering supports the goals of Unsupervised Learning which is finding patterns in data without requiring labeled datasets. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Clustering, Cluster Analysis, K-Means, and Gaussian Mixture Model, and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series- Clustering, Cluster Analysis, K-Means, Gaussian Mixture Model at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define DeepBlue, including what it is and why it’s notable for AI.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Symbolic Systems & Expert Systems
• AI Glossary Series: Cognitive Technology

Continue reading AI Today Podcast: AI Glossary Series – Deep Blue at Cognilytica.

Before this latest wave of AI where neural nets became the hottest algorithm of choice, an approach to machine learning that uses logic and constructs similar to the way that humans reason through problems called Symbolic Systems were actually the system of choice. Popularized in the late 1980s and early 1990s expert systems became the AI system of choice for organizations investing in cognitive technology.

Continue reading AI Today Podcast: AI Glossary Series: Symbolic Systems & Expert Systems at Cognilytica.

Sometimes for reasons such as improving performance or robustness it makes sense to create multiple decision trees and average the results to solve problems related to overfitting. Or, it makes sense to boost certain decision trees. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Random Forest and Boosted Trees, and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Random Forest and Boosted Trees at Cognilytica.

Sometimes for reasons such as improving performance or robustness it makes sense to combine the results of multiple different models trained on the same data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Ensemble Models, and explain how it relates to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Ensemble Models at Cognilytica.

There are many algorithms that can be used for classification and it’s important to at least know them at a high level. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Support Vector Machine & Kernel Method, and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Decision Trees at Cognilytica.

There are many algorithms that can be used for classification and it’s important to at least know them at a high level. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Support Vector Machine & Kernel Method, and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Support Vector Machine & Kernel Method at Cognilytica.

There are many algorithms that can be used for classification and it’s important to at least know them at a high level. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms K-Nearest Neighbor and Lazy Learning, and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series: K-Nearest Neighbor and Lazy Learning at Cognilytica.

Probabilities play a big part in AI and machine learning. After all, AI systems are Probabilistic systems that must learn what to do. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Bayes’ Theorem, Bayesian Classifier, Naive Bayes, and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Bayes’ Theorem, Bayesian Classifier, Naive Bayes at Cognilytica.

Determining which categories or “classes” data belongs to in the core aspect of classification. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary, and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer have a discussion with Bill Raymond who is the host of the Agile In Action podcast. We discuss why project managers should pay attention to AI, how the areas of Agile and AI are intersecting, and how artificial intelligence fits within the project management space both from running AI projects to also how AI will enhance the project manager’s role.

Continue reading AI Today Podcast: How AI and Project Management Fit Together: Interview with Bill Raymond, Agile in Action Podcast at Cognilytica.

When it comes to building ML models, you want to make a model simple enough so that it can handle a wide range of real-world data on the one hand, but not too simple that it overgeneralizes or underfits the available data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Overfitting, Underfitting, Bias, Variance, and Bias/Variance Tradeoff, and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Dimension, Curse of Dimensionality, Dimensionality Reduction, and explain how they relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: Artificial Intelligence
• AI Glossary Series – Machine Learning, Algorithm, Model
• Glossary Series: Prediction, Inference, and Generalization
• Glossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning

Continue reading AI Today Podcast: AI Glossary Series – Dimension, Curse of Dimensionality, Dimensionality Reduction at Cognilytica.

Pattern recognition in general is what machine learning systems do. They use an algorithm to learn patterns from data that can be then used to make predictions on new data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Pattern Recognition and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series- Pattern Recognition at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define terms related to Machine Learning Approaches including Supervised Learning, Unsupervised Learning, Reinforcement Learning and explain how they relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: Artificial Intelligence
• AI Glossary Series – Machine Learning, Algorithm, Model
• Glossary Series: Probabilistic & Deterministic
• Glossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary
• Glossary Series: Regression, Linear Regression
• Glossary Series: Clustering, Cluster Analysis, K-Means, Gaussian Mixture Model
• Glossary Series: Goal-Driven Systems & Roboadvisor
• Understanding the Goal-Driven Systems Pattern of AI

Continue reading AI Today Podcast: AI Glossary – Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning at Cognilytica.

Even though the term Artificial Intelligence does not have an agreed upon definition, the term machine learning does have a definition. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Machine Learning, Algorithm, Model and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Machine Learning, Algorithm, Model at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss and define at a high level DeepMind, AlphaGo, and AlphaZero.

Show Notes:

• FREE Intro To CPMAI Mini Course
• CPMAI Training and Certification
• AI Today Podcast #94: Understanding the Goal-Driven Systems Pattern of AI
• AI Glossary

Continue reading AI Today Podcast: AI Glossary – DeepMind, AlphaGo, and AlphaZero at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schemlzer define and discuss at a high level the terms Prediction, Inference, and Generalization, why it’s important to understand these terms, and how they fit into the overall picture of AI.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: Machine Learning, Algorithm, Model
• Glossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary
• Glossary Series: Regression, Linear Regression

Continue reading AI Today Podcast: AI Glossary Series – Prediction, Inference, and Generalization at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schemlzer define and discuss at a high level the terms Heuristic & Brute-force Search, why it’s important to understand these terms, and how they fit into the overall picture of AI.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary

Continue reading AI Today Podcast: AI Glossary Series – Heuristic & Brute-force Search at Cognilytica.

One of the seven patterns of AI, the objective of goal driven systems is to find the most optimal path or solution to a problem. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schemlzer define and discuss at a high level the terms Goal-Driven Systems as well as Roboadvisor, why it’s important to understand these terms, and how they fit into the overall picture of AI.

Continue reading AI Today Podcast: AI Glossary Series – Goal-Driven Systems & Roboadvisor at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Probabilistic & Deterministic and explain how they relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Artificial Intelligence

Continue reading AI Today Podcast: AI Glossary Series – Probabilistic & Deterministic at Cognilytica.

The objective of the hyperpersonalization pattern of AI is to treat each individual as an individual. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define and discuss at a high level the terms Personalization, Recommendation, and Hyperpersonalization, how they are related, and why it’s important to have a light level understanding of these terms, and how machine learning makes hyperpersonalization possible.

Continue reading AI Today Podcast: AI Glossary Series: Personalization, Recommendation, and Hyperpersonalization at Cognilytica.

The objective of the recognition pattern of AI is to have machines identify and understand the real world and unstructured data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define and discuss at a high level the terms Recognition Systems, Computer Vision, and ImageNet, how they are related, and why it’s important to have a light level understanding of these terms.

Continue reading AI Today Podcast: AI Glossary Series: Recognition Systems, Computer Vision, ImageNet at Cognilytica.

Named after researcher and AI pioneer Alan Turing, the Turing Test aims to test whether a machine or system is “intelligent” by putting the system to a test. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the Turing Test at a high level and discuss if it’s now possibly an overly simplistic assessment of whether or not machines have achieved necessary levels of intelligence.

Continue reading AI Today Podcast: AI Glossary Series: Turing Test at Cognilytica.

Virtual agents and chatbots have been proving useful at organizations. But is their real potential yet to be tapped? In this episode of the AI Today Podcast hosts Kathleen Walch and Ron Schmelzer interview Pat Calhoun who is CEO of Espressive. He shares with us where he thinks virtual agents are headed in 2023 including why he thinks virtual agents will be the next Intranet, what the pervasiveness of chatbots means for organizations, and the impact virtual agents will have on the way we work.

Continue reading AI Today Podcast: Where Virtual Agents are headed in 2023, Interview with Pat Calhoun, CEO of Espressive at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define AI Today the term Conversational Systems. We also define the terms Chatbots, Voice Assistants, and Machine Translation and explain how they relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Natural Language Processing (NLP)
• AI Glossary Series – Content Summarization & Analysis,Sentiment Analysis
• AI Today Podcast #104: Patterns of AI – Conversation / Human Interaction
• AI Today Podcast #012: Chatbots – Are they Useful?

Continue reading AI Today Podcast: AI Glossary Series-Conversational Systems, Chatbots, Voice Assistants, Machine Translation at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define Content Summarization and Analysis and Sentiment Analysis. We explain at a high level what these terms are and how they relate to AI.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Natural Language Processing (NLP)
• AI Glossary Series – Conversational Systems, Chatbots, Voice Assistants, Machine Translation
• AI Today Podcast #104: Patterns of AI – Conversation / Human Interaction

Continue reading AI Today Podcast: AI Glossary Series: Content Summarization and Analysis, Sentiment Analysis at Cognilytica.

Cybernetics has actually been around longer than the term AI. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define what Cybernetic systems are at a high level.

Show Notes:

• FREE Intro To CPMAI Mini Course
• CPMAI Training and Certification
• AI Glossary

Continue reading AI Today Podcast: Glossary Series: Cybernetics at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer have a discussion with the hosts of PM Point of View Podcast Kendall Lott and Mike Fortezza. We discuss why project managers should pay attention to AI, why data-centric approaches are needed to run AI projects, and how CPMAI can enhance PM’s ability to run data projects.

Continue reading AI Today Podcast: How AI and Project Management Fit Together: Interview with Kendall Lott and Mike Fortezza, PM Point of View Podcast at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define Natural Language Processing (NLP), Natural Language Understanding (NLU), Natural Language Generation (NLG), Speech-to-Text, Test-to-Speech, and (Automated) Speech Recognition. We share how these terms are related and how they fit into AI.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Content Summarization & Analysis, Sentiment Analysis
• AI Glossary Series – Conversational Systems, Chatbots, Voice Assistants, Machine Translation
• AI Today Podcast #104: Patterns of AI – Conversation / Human Interaction

Continue reading AI Today Podcast: AI Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define Autonomous Systems, as well as related terms including Levels of Autonomy, Autonomous vehicle, and Autonomous (automated) Retail.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Today Podcast #112: Patterns of AI – Autonomous Systems
• AI Today Podcast #055: Autonomous Business Process (ABP)
• AI Today Podcast #37: Life with Level 5 Autonomous Vehicles
• The AI-Enabled Future
• AI Today Podcast #29: The First Autonomous Vehicle Fatality — Now What?

Continue reading AI Today Podcast: AI Glossary Series- Autonomous Systems at Cognilytica.

Like all technologies, Artificial Intelligence (AI) is not immune to the waves of obscurity, hyped promotion, plateauing of interest, and decline. In fact, the AI industry has been through two such major waves of interest, hype, plateau, and decline, commonly referred to as the “AI Winters”. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define an “AI Winter” at a high level.

Continue reading AI Today Podcast: AI Glossary Series: AI Winters at Cognilytica.

On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However we are seeing the cross section of AI and project management and felt it was important to bring in PM experts to the discussion. In this episode hosts Kathleen Walch and Ron Schmelzer interview Bob Payne who is host of the Agile Toolkit podcast.

Continue reading AI Today Podcast: An Agile Perspective on AI – Interview with Bob Payne, host of the Agile Toolkit podcast at Cognilytica.

Cognilytica has spent a considerable amount of time on AI use cases and how different industries are using various AI and cognitive technologies and we’ve found that there are seven common patterns that seem to continuously show up in all these use cases. In this podcast hosts Kathleen Walch and Ron Schmelzer define at a high level the seven patterns of AI and explain how they can be used to shortcut AI projects.

Continue reading AI Today Podcast: AI Glossary Series: Seven Patterns of AI at Cognilytica.

It’s one thing for us to talk about the Cognitive Project Management for AI (CPMAI) Methodology and the benefits it can bring to project managers running AI and advanced data projects, but hearing directly how individuals are applying the CPMAI Methodology and how it has directly benefit their projects can be incredibly valuable. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Andre Barcaui who is a Brazilian project manager and professor and he is also CPMAI certified.

Continue reading AI Today Podcast: Applying CPMAI in the real world, Interview with Andre Barcaui, CPMAI at Cognilytica.

Rather than replacing humans with autonomous agents, businesses and agencies can see significant value in enhancing the capabilities of their existing staff and leveraging AI as a “force multiplier” that enables them to do more with their existing resources. This is the key idea behind the concept of Augmented Intelligence. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss the idea of augmented intelligence and what it means when AI can be used to assist humans, rather than replacing them.

Continue reading AI Today Podcast: AI Glossary Series: Augmented Intelligence at Cognilytica.

On the AI Today podcast we regularly interview thought leaders and practitioners who are implementing and managing AI and cognitive technology projects at various companies and government agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Galen Low, host of The Digital Project Manager podcast and co-founder of the Digital Project Manager.

Continue reading AI Today Podcast: Interview with Galen Low, host of The Digital Project Manager podcast at Cognilytica.

Sometimes, talking about what is and isn’t AI isn’t helpful given the lack of a commonly accepted definition of AI. Instead we find that using the term Cognitive technologies when we’re talking about goals of Machines mimicking and approaching Human Intelligence can provide much better results.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Cognitive Technology.

Continue reading AI Today Podcast: AI Glossary Series: Cognitive Technology at Cognilytica.

On the AI Today podcast we regularly interview thought leaders and practitioners who are implementing and managing AI and cognitive technology projects at various companies and government agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Ann Campea who is the host of The Everyday PM Podcast. Her podcast focuses on project management and we discuss how the project management industry has changed and evolved with technological advancements, how she sees artificial intelligence impact the project management space, as well as what opportunities AI will bring to project managers.

Continue reading AI Today Podcast: AI in Project Management, Interview with Ann Campea, host of The Everyday PM Podcast at Cognilytica.

In order to understand the goal of Artificial General Intelligence (AGI) which is also sometimes reffered to as Strong AI, it’s important to understand the difference between strong AI versus narrow or weak AI. In this episode of the AI Today podcast, hosts Kathleen Walch and Ron Schmelzer share the definitions for AGI/Strong AI and Narrow/Weak AI and explain why the terms Strong AI and Weak AI have fallen out of favor in recent years.

Continue reading AI Today Podcast: AI Glossary Series: Artificial General Intelligence (AGI), Strong AI, Weak AI, Narrow AI at Cognilytica.

Companies of all sizes in just about every single industry are looking to see how Artificial Intelligence (AI) and machine learning (ML) can provide a competitive edge, provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity for people looking to manage these types of projects and there is a significant and growing demand for skilled AI project managers across the whole range of AI capabilities.

Continue reading AI Today Podcast: Best Practices in AI Project Management: Excerpts from our Enterprise Data & AI CPMAI Panel at Cognilytica.

The term Artificial Intelligence (AI) was coined in 1956. Despite the fact that the term is now decades old, there still is no commonly accepted definition. In this episode of the AI Today podcast, hosts Kathleen Walch and Ron Schmelzer share Cognilytica’s definition for AI.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary

Continue reading AI Today Podcast: AI Glossary Series: Artificial Intelligence at Cognilytica.

On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Greg Mester who is host of the 5am Mester Scrum podcast. As his podcast talks about Scrum and Agile, he shares with us common misunderstandings about Agile and Scrum, how he sees AI helping Application or Agile Teams, and how the role of project managers is evolving.

Continue reading AI Today Podcast: Bringing AI & Agile Together: Interview with Greg Mester, host of the 5am Mester Scrum podcast at Cognilytica.

It’s one thing for us to talk about the Cognitive Project Management for AI (CPMAI) Methodology and the benefits it can bring to managers running AI and advanced data projects, but hearing directly how individuals are applying the CPMAI Methodology can be incredibly valuable. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Andrew Stone who is Lead Specialist – Product Owner, Data Science at Maximus and he is also CPMAI certified.

Continue reading AI Today Podcast: Applying CPMAI in the Real World, Interview with Andrew Stone, Maximus at Cognilytica.

When putting together your Ethical and Responsible AI Framework it’s important to remember that it needs to be actually implemented. Why spend all this time and resources to put together a framework just to let it sit on a shelf untouched. Remember: Ethical & Responsible AI is something you do, not a statement! In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer talk more about this topic and why it’s so important to actually do AI right which means doing ethical and responsible AI right as well.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: Ethical & Responsible AI is something you do, not a statement at Cognilytica.

When working on your ethical and responsible AI framework you should not overlook the roles, boards, and committees that will need to be put in place to ensure that the framework is actually implemented and updated as needed for overall AI project success for the long term. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer provide a high level overview on how to set up your organization for ethical and responsible AI success.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: Setting up your organization for ethical & responsible AI success at Cognilytica.

The pace of adoption for artificial intelligence (AI) and cognitive technologies continues unabated with widespread, worldwide, rapid adoption of AI and its various patterns. However with any transformative technology laws and regulations may be slow to catch up with the quickly changing technology. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss the global and regional impacts laws and regulations have related to data and AI.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: Impact of Emerging Laws and Regulations on AI at Cognilytica.

Not all algorithms are explainable. So does that mean that it’s ok to not provide any explanation on how your AI system got to the decision it did if you’re using one of those “black box” algorithms? The answer should obviously be no. So, what do you do then when creating Ethical and Responsible AI systems to address this issue around explainable and interpretable AI?

Continue reading AI Today Podcast: Ethical & Responsible AI Series: Explainable and Interpretable AI at Cognilytica.

In order to have people use AI systems they need to feel that they can trust these systems. That includes putting measures in place around AI Auditability, Traceability, and System Control. But what exactly does that mean and how do you do this in the context of your Ethical and Responsible AI Framework? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss issues related to AI Auditability, Traceability, and System Control, why it’s important to be transparent with users, and what steps and controls you should have in place.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: AI Auditability, Traceability, and System Control at Cognilytica.