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  <title>From Transactions to Trust: A Financial Services Podcast</title>

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  <copyright>© 2026 From Transactions to Trust: A Financial Services Podcast</copyright>
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  <description><![CDATA[<p>Are you a financial services leader navigating the complexities of digital transformation? In a rapidly evolving industry, building trust is paramount. "Transaction to Trust" is your essential guide to what's next.</p><p>Each week, we deliver clear, strategic insights on today's most critical challenges and opportunities, from implementing AI with measurable ROI to building operational resilience against market volatility and cyber threats. We'll help you transform complex regulatory technology into a competitive advantage and prepare for the quantum computing revolution.</p><p>Join us for focused conversations with industry pioneers who are actively shaping the future of finance. Subscribe to sharpen your strategy, make informed decisions, and lead with confidence.</p>]]></description>
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    <itunes:title>The agentic bank: Why AI is shifting the conversation from efficiency to accountability</itunes:title>
    <title>The agentic bank: Why AI is shifting the conversation from efficiency to accountability</title>
    <itunes:summary><![CDATA[In this episode of CGI's "From Transactions to Trust," we move beyond the hype of AI in banking to discuss what really matters: accountability and revenue. While AI has long been seen as a tool for efficiency, the rise of "agentic AI" is changing the game. These intelligent, semi-autonomous systems are not just optimizing processes—they are making decisions, generating revenue, and forcing a conversation about accountability. Join our experts, Frederic Miskawi (Vice-President, Global Applied ...]]></itunes:summary>
    <description><![CDATA[<p>In this episode of CGI&apos;s &quot;From Transactions to Trust,&quot; we move beyond the hype of AI in banking to discuss what really matters: accountability and revenue. While AI has long been seen as a tool for efficiency, the rise of &quot;agentic AI&quot; is changing the game. These intelligent, semi-autonomous systems are not just optimizing processes—they are making decisions, generating revenue, and forcing a conversation about accountability.</p><p>Join our experts, Frederic Miskawi (Vice-President, Global Applied AI Lead) and Gaby Martin (Director, Consulting Services – U.S. Operations), as they outline a practical roadmap for building an &quot;agentic bank.&quot; You&apos;ll learn how to:</p><ul><li>Generate real, measurable ROI from your AI initiatives.</li><li>Transform traditional cost centers into engines of revenue.</li><li>Accelerate the modernization of your legacy systems.</li><li>Navigate the shift from rule-based automation to dynamic, intelligent action.</li></ul><p>This episode is a must-listen for banking leaders, technologists, and anyone interested in the future of financial services.</p>]]></description>
    <content:encoded><![CDATA[<p>In this episode of CGI&apos;s &quot;From Transactions to Trust,&quot; we move beyond the hype of AI in banking to discuss what really matters: accountability and revenue. While AI has long been seen as a tool for efficiency, the rise of &quot;agentic AI&quot; is changing the game. These intelligent, semi-autonomous systems are not just optimizing processes—they are making decisions, generating revenue, and forcing a conversation about accountability.</p><p>Join our experts, Frederic Miskawi (Vice-President, Global Applied AI Lead) and Gaby Martin (Director, Consulting Services – U.S. Operations), as they outline a practical roadmap for building an &quot;agentic bank.&quot; You&apos;ll learn how to:</p><ul><li>Generate real, measurable ROI from your AI initiatives.</li><li>Transform traditional cost centers into engines of revenue.</li><li>Accelerate the modernization of your legacy systems.</li><li>Navigate the shift from rule-based automation to dynamic, intelligent action.</li></ul><p>This episode is a must-listen for banking leaders, technologists, and anyone interested in the future of financial services.</p>]]></content:encoded>
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    <pubDate>Fri, 17 Apr 2026 16:00:00 -0400</pubDate>
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  <psc:chapter start="0:00" title="From ROI To Accountability" />
  <psc:chapter start="0:33" title="Redefining Roles For AI Era" />
  <psc:chapter start="2:53" title="From Tasks To Judgment Leaders" />
  <psc:chapter start="5:10" title="Human In The Loop As Risk Guard" />
  <psc:chapter start="6:24" title="Deep Expertise Over Tool Fetish" />
  <psc:chapter start="7:14" title="Mining Unstructured Data Gold" />
  <psc:chapter start="9:03" title="Activating Customer 360 At Scale" />
  <psc:chapter start="10:04" title="Enterprise Data As Model Fuel" />
  <psc:chapter start="11:43" title="Who Owns AI Decisions" />
  <psc:chapter start="13:00" title="Avoiding False Safety In Reviews" />
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    <itunes:duration>1114</itunes:duration>
    <itunes:keywords>Agentic Banking, AI Governance, Workforce Transformation, Judgment Leaders, Unstructured Data, Customer 360, Hyper-personalization, AI in Financial Services, Banking Innovation, C-Level Strategy, AI Accountability, Risk Management</itunes:keywords>
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    <itunes:title>The intelligent insurer: Moving beyond legacy constraints with AI-driven modernization</itunes:title>
    <title>The intelligent insurer: Moving beyond legacy constraints with AI-driven modernization</title>
    <itunes:summary><![CDATA[We unpack why AI value in insurance stalls when organisations treat legacy as a technology problem instead of a foundation problem across data, process and mindset. We map a practical path from quick efficiency wins to intelligence-driven modernisation that actually changes decisions and operating models.  • legacy as systems plus operating model plus mindset  • avoiding the trap of layering AI over old processes  • efficiency-driven AI wins in underwriting document handling&nb...]]></itunes:summary>
    <description><![CDATA[<p>We unpack why AI value in insurance stalls when organisations treat legacy as a technology problem instead of a foundation problem across data, process and mindset. We map a practical path from quick efficiency wins to intelligence-driven modernisation that actually changes decisions and operating models. <br/>• legacy as systems plus operating model plus mindset <br/>• avoiding the trap of layering AI over old processes <br/>• efficiency-driven AI wins in underwriting document handling <br/>• moving from faster work to better decisions with AI support <br/>• AI ambition running ahead of data readiness and modernisation reality <br/>• iterative test-and-learn guided by a north star <br/>• starting with the business problem then assessing maturity <br/>• portfolio approach to pick easy proofs and harder high-value bets <br/>• AI as a consideration alongside operational resilience and cyber security <br/>• success factors: clarity of purpose, human change, constant relevance checks <br/><br/><br/></p>]]></description>
    <content:encoded><![CDATA[<p>We unpack why AI value in insurance stalls when organisations treat legacy as a technology problem instead of a foundation problem across data, process and mindset. We map a practical path from quick efficiency wins to intelligence-driven modernisation that actually changes decisions and operating models. <br/>• legacy as systems plus operating model plus mindset <br/>• avoiding the trap of layering AI over old processes <br/>• efficiency-driven AI wins in underwriting document handling <br/>• moving from faster work to better decisions with AI support <br/>• AI ambition running ahead of data readiness and modernisation reality <br/>• iterative test-and-learn guided by a north star <br/>• starting with the business problem then assessing maturity <br/>• portfolio approach to pick easy proofs and harder high-value bets <br/>• AI as a consideration alongside operational resilience and cyber security <br/>• success factors: clarity of purpose, human change, constant relevance checks <br/><br/><br/></p>]]></content:encoded>
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    <itunes:author>CGI In Financial Services</itunes:author>
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    <pubDate>Wed, 08 Apr 2026 09:00:00 -0400</pubDate>
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  <psc:chapter start="0:00" title="Legacy Vs Modernization Framing" />
  <psc:chapter start="3:41" title="Efficiency Wins Vs Real Rethink" />
  <psc:chapter start="5:55" title="AI Hype Outrunning Modernization" />
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  <psc:chapter start="11:11" title="Start With The Problem Portfolio" />
  <psc:chapter start="14:02" title="AI As Strategy Plus Cyber Risks" />
  <psc:chapter start="15:45" title="What Successful Programs Share" />
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    <itunes:duration>1107</itunes:duration>
    <itunes:keywords>AI, insurance, modernization, legacy, system transformation, AI-driven modernization, intelligent insurer digital transformation in insurance, technology podcast AI adoption in financial services Responsible AI, Insurance industry, Digital transformation,</itunes:keywords>
    <itunes:season>1</itunes:season>
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    <itunes:title>The agentic bank: Moving AI from a tool to a revenue driver</itunes:title>
    <title>The agentic bank: Moving AI from a tool to a revenue driver</title>
    <itunes:summary><![CDATA[Is your bank prepared for the next wave of AI? For years, artificial intelligence has delivered incremental gains, but a fundamental shift is now underway. With the rise of agentic AI, this technology is moving beyond simple assistance to become an autonomous actor capable of driving real business outcomes, transforming cost centers into revenue engines, and accelerating legacy modernization. In this episode of CGI’s “From Transactions to Trust,” host Frederic Miskawi and CGI AI expert Gabby ...]]></itunes:summary>
    <description><![CDATA[<p>Is your bank prepared for the next wave of AI? For years, artificial intelligence has delivered incremental gains, but a fundamental shift is now underway. With the rise of agentic AI, this technology is moving beyond simple assistance to become an autonomous actor capable of driving real business outcomes, transforming cost centers into revenue engines, and accelerating legacy modernization.</p><p>In this episode of CGI’s “From Transactions to Trust,” host Frederic Miskawi and CGI AI expert Gabby Martin provide a clear roadmap for building a future-ready &quot;agentic bank&quot; and generating real ROI.</p><p>Key topics covered:</p><ul><li>Business Integration: How to secure the leadership needed for successful AI adoption.</li><li>Unified Data Layer: Creating an &quot;ask your data&quot; solution for a single source of truth.</li><li>Revenue Generation: Turning contact centers into proactive, revenue-generating engines.</li><li>Legacy Modernization: Using agentic AI to automate the redevelopment of legacy code.</li></ul><p>Tune in to learn how to turn AI from a cost center into a core revenue driver for your organization.</p>]]></description>
    <content:encoded><![CDATA[<p>Is your bank prepared for the next wave of AI? For years, artificial intelligence has delivered incremental gains, but a fundamental shift is now underway. With the rise of agentic AI, this technology is moving beyond simple assistance to become an autonomous actor capable of driving real business outcomes, transforming cost centers into revenue engines, and accelerating legacy modernization.</p><p>In this episode of CGI’s “From Transactions to Trust,” host Frederic Miskawi and CGI AI expert Gabby Martin provide a clear roadmap for building a future-ready &quot;agentic bank&quot; and generating real ROI.</p><p>Key topics covered:</p><ul><li>Business Integration: How to secure the leadership needed for successful AI adoption.</li><li>Unified Data Layer: Creating an &quot;ask your data&quot; solution for a single source of truth.</li><li>Revenue Generation: Turning contact centers into proactive, revenue-generating engines.</li><li>Legacy Modernization: Using agentic AI to automate the redevelopment of legacy code.</li></ul><p>Tune in to learn how to turn AI from a cost center into a core revenue driver for your organization.</p>]]></content:encoded>
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    <itunes:author>CGI In Financial Services</itunes:author>
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    <pubDate>Mon, 23 Mar 2026 12:00:00 -0400</pubDate>
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  <psc:chapter start="0:00" title="From Tools To Agentic Banking" />
  <psc:chapter start="1:50" title="Meet Gabby And Lessons From AI Pilots" />
  <psc:chapter start="4:20" title="Why Pilots Fail And How To Fix Adoption" />
  <psc:chapter start="8:15" title="Quick Wins: Ask‑Your‑Data And Enterprise Mesh" />
  <psc:chapter start="11:20" title="Guardrails, Security, And Data Governance" />
  <psc:chapter start="14:00" title="Contact Centers As Revenue Engines" />
  <psc:chapter start="17:45" title="Ethics, Preferences, And Hard Rules" />
  <psc:chapter start="20:20" title="Human In The Loop Versus AI In The Loop" />
  <psc:chapter start="22:50" title="Beating Legacy: SDLC Acceleration With Agents" />
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    <itunes:duration>1446</itunes:duration>
    <itunes:keywords>Agentic AI, Banking, AI in Banking, Financial Services, Digital Transformation, AI ROI, AI Strategy, Contact Center AI, Customer Experience, Hyper-personalization, Legacy Modernization, SDLC Acceleration, Enterprise AI, AI Governance, Fintech</itunes:keywords>
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    <itunes:episode>3</itunes:episode>
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    <itunes:title>The Quantum leap: What financial institutions must do now to prepare</itunes:title>
    <title>The Quantum leap: What financial institutions must do now to prepare</title>
    <itunes:summary><![CDATA[Are you ready for the quantum leap in finance? In this episode, host Maida Zahid and Curtis Nybo, Director of AI and Quantum at CGI, demystify quantum computing and its profound impact on financial services. Discover how this revolutionary technology will accelerate portfolio performance, enhance risk insight, and combat fraud. Learn about the urgent need for post-quantum cryptography to protect long-term data security and the practical steps your institution can take today to prepare for the...]]></itunes:summary>
    <description><![CDATA[<p>Are you ready for the quantum leap in finance? In this episode, host Maida Zahid and Curtis Nybo, Director of AI and Quantum at CGI, demystify quantum computing and its profound impact on financial services. Discover how this revolutionary technology will accelerate portfolio performance, enhance risk insight, and combat fraud. Learn about the urgent need for post-quantum cryptography to protect long-term data security and the practical steps your institution can take today to prepare for the quantum era.</p>]]></description>
    <content:encoded><![CDATA[<p>Are you ready for the quantum leap in finance? In this episode, host Maida Zahid and Curtis Nybo, Director of AI and Quantum at CGI, demystify quantum computing and its profound impact on financial services. Discover how this revolutionary technology will accelerate portfolio performance, enhance risk insight, and combat fraud. Learn about the urgent need for post-quantum cryptography to protect long-term data security and the practical steps your institution can take today to prepare for the quantum era.</p>]]></content:encoded>
    <enclosure url="https://www.buzzsprout.com/2597820/episodes/18748725-the-quantum-leap-what-financial-institutions-must-do-now-to-prepare.mp3" length="15682830" type="audio/mpeg" />
    <link>https://www.cgi.com/en/podcast/banking-and-capital-markets/the-quantum-leap-what-financial-institutions-must-do-now-to-prepare</link>
    <itunes:author>CGI In Financial Services</itunes:author>
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    <pubDate>Sun, 08 Mar 2026 11:00:00 -0400</pubDate>
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  <psc:chapter start="0:00" title="Welcome And Topic Setup" />
  <psc:chapter start="0:33" title="What Quantum Computing Actually Is" />
  <psc:chapter start="5:25" title="Why Finance Cares About Quantum" />
  <psc:chapter start="7:31" title="Realistic Use Cases By Timeline" />
  <psc:chapter start="13:16" title="Hybrid Quantum-Classical Workflows" />
  <psc:chapter start="16:20" title="Fraud, Risk, And Monte Carlo" />
  <psc:chapter start="19:05" title="Urgency Of Post-Quantum Cryptography" />
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    <itunes:duration>1304</itunes:duration>
    <itunes:keywords>Quantum computing, financial services, Maida Zahid, Curtis Nybo, CGI, qubits, superposition, entanglement, portfolio optimization, risk management, fraud detection, Monte Carlo simulations, post-quantum cryptography, PQC, NISQ</itunes:keywords>
    <itunes:season>1</itunes:season>
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    <itunes:title>AI in insurance: Evolution or revolution?</itunes:title>
    <title>AI in insurance: Evolution or revolution?</title>
    <itunes:summary><![CDATA[We weigh evolution versus revolution for AI in insurance and lay out a practical path from pilots to platform. We share a four-lens framework, confront hype fatigue, and map how leaders turn efficiency into intelligence and scale with coherence.  • AI framed into four practical lenses • survey signals on digital confidence and AI strategy gaps • point solutions versus operating model redesign • efficiency gains balanced with decision intelligence • friction points beyond legacy and data quali...]]></itunes:summary>
    <description><![CDATA[<p>We weigh evolution versus revolution for AI in insurance and lay out a practical path from pilots to platform. We share a four-lens framework, confront hype fatigue, and map how leaders turn efficiency into intelligence and scale with coherence.<br/><br/>• AI framed into four practical lenses<br/>• survey signals on digital confidence and AI strategy gaps<br/>• point solutions versus operating model redesign<br/>• efficiency gains balanced with decision intelligence<br/>• friction points beyond legacy and data quality<br/>• people change, skills, and role clarity<br/>• holistic delivery with cybersecurity and resilience<br/>• 2030 scenarios from incremental to re-architected<br/>• three takeaways on momentum, constraints, and uneven impact<br/><br/>We of course looking forward to our next episode where we discuss in a little bit more detail how insurance companies can move from legacy to innovation and intelligence</p>]]></description>
    <content:encoded><![CDATA[<p>We weigh evolution versus revolution for AI in insurance and lay out a practical path from pilots to platform. We share a four-lens framework, confront hype fatigue, and map how leaders turn efficiency into intelligence and scale with coherence.<br/><br/>• AI framed into four practical lenses<br/>• survey signals on digital confidence and AI strategy gaps<br/>• point solutions versus operating model redesign<br/>• efficiency gains balanced with decision intelligence<br/>• friction points beyond legacy and data quality<br/>• people change, skills, and role clarity<br/>• holistic delivery with cybersecurity and resilience<br/>• 2030 scenarios from incremental to re-architected<br/>• three takeaways on momentum, constraints, and uneven impact<br/><br/>We of course looking forward to our next episode where we discuss in a little bit more detail how insurance companies can move from legacy to innovation and intelligence</p>]]></content:encoded>
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    <itunes:author>CGI In Financial Services</itunes:author>
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    <pubDate>Thu, 26 Feb 2026 10:00:00 -0500</pubDate>
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  <psc:chapter start="0:00" title="AI in insurance: Evolution or revolution?" />
  <psc:chapter start="0:04" title="Setting The AI Landscape" />
  <psc:chapter start="0:26" title="Meet The Hosts And Series Focus" />
  <psc:chapter start="0:44" title="Evolution Or Revolution In Insurance" />
  <psc:chapter start="1:11" title="Cutting Through AI Jargon" />
  <psc:chapter start="1:45" title="Four Practical Lenses For AI" />
  <psc:chapter start="3:05" title="Survey Signals: Strategy Gaps" />
  <psc:chapter start="4:22" title="Point Solutions Vs Rethinking Work" />
  <psc:chapter start="5:53" title="Efficiency Or Intelligence First" />
  <psc:chapter start="7:25" title="What’s Really Blocking Adoption" />
  <psc:chapter start="9:51" title="AI As Enterprise Change" />
  <psc:chapter start="11:04" title="Avoiding Tech‑Led Failures" />
  <psc:chapter start="13:07" title="2030 Scenarios For Insurance" />
  <psc:chapter start="15:26" title="Coherence Over Experiments" />
  <psc:chapter start="16:54" title="Three Key Takeaways And Close" />
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    <itunes:duration>1093</itunes:duration>
    <itunes:keywords>insurance, AI, </itunes:keywords>
    <itunes:season>1</itunes:season>
    <itunes:episode>1</itunes:episode>
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