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  <title>CGI in Canada Podcast</title>

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  <copyright>© 2026 CGI in Canada Podcast</copyright>
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  <description><![CDATA[<p>Founded in 1976, CGI is among the largest IT and business consulting services firms in the world.<br><br>We are insights-driven and outcomes-based to help accelerate returns on your investments. Across hundreds of locations worldwide, we provide comprehensive, scalable and sustainable IT and business consulting services that are informed globally and delivered locally.</p>]]></description>
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    <itunes:title>Rethinking fraud in the age of AI: What it means for banking today</itunes:title>
    <title>Rethinking fraud in the age of AI: What it means for banking today</title>
    <itunes:summary><![CDATA[In a world of AI-enabled scams and instant payments, banks must defend trust at the speed of risk and redefine their fraud strategies. Fraud is often viewed as friction—a cost to manage or a risk to contain. But in today’s environment of AI-enabled scams, organized fraud networks, and Canada’s upcoming Real-Time Rail—where payments settle in seconds—that mindset is no longer enough. March marks Fraud Prevention Month in Canada—a timely opportunity to rethink how organizations approach one of ...]]></itunes:summary>
    <description><![CDATA[<p>In a world of AI-enabled scams and instant payments, banks must defend trust at the speed of risk and redefine their fraud strategies.</p><p>Fraud is often viewed as friction—a cost to manage or a risk to contain. But in today’s environment of AI-enabled scams, organized fraud networks, and Canada’s upcoming Real-Time Rail—where payments settle in seconds—that mindset is no longer enough.</p><p>March marks Fraud Prevention Month in Canada—a timely opportunity to rethink how organizations approach one of today’s fastest-evolving risks.</p><p>In this episode of A CGI Conversation, Derek Marinos speaks with Tammy McKinnon, Senior Vice President of Global Fraud Management at Scotiabank, and Neha Gupta, Director, Consulting and Financial Services Fraud Prevention Expert at CGI. Together, they explore how leading organizations are reframing fraud prevention as a strategic enabler of trust, resilience and long-term growth.</p><p>From the rise of social engineering and agentic AI to the growing importance of data, analytics and ecosystem collaboration, this boardroom-level discussion delivers practical, executive insights for leaders navigating an increasingly complex threat landscape.</p><p><b>In this episode, you’ll learn:</b></p><ul><li>How the fraud landscape has shifted toward social engineering and AI-enabled scams</li><li>Why fraud is now a persistent, enterprise-wide risk—not just an operational issue</li><li>The role of data, analytics and signal fusion in preventing fraud before it happens </li><li>How real-time payments are reshaping fraud risk—and what leaders must do to respond</li><li>What executives and boards should prioritize to build trust, resilience and long-term growth</li></ul><p><br/><b>Featured speakers</b></p><ul><li><b>Tammy McKinnon, </b>Senior Vice President, Global Fraud Management, Scotiabank</li><li><b>Neha Gupta, </b>Director, Consulting Services, Financial Services Fraud Prevention Expert, CGI</li><li><b>Host: </b>Derek Marinos, Manager, Communications and Media Relations – Canada</li></ul>]]></description>
    <content:encoded><![CDATA[<p>In a world of AI-enabled scams and instant payments, banks must defend trust at the speed of risk and redefine their fraud strategies.</p><p>Fraud is often viewed as friction—a cost to manage or a risk to contain. But in today’s environment of AI-enabled scams, organized fraud networks, and Canada’s upcoming Real-Time Rail—where payments settle in seconds—that mindset is no longer enough.</p><p>March marks Fraud Prevention Month in Canada—a timely opportunity to rethink how organizations approach one of today’s fastest-evolving risks.</p><p>In this episode of A CGI Conversation, Derek Marinos speaks with Tammy McKinnon, Senior Vice President of Global Fraud Management at Scotiabank, and Neha Gupta, Director, Consulting and Financial Services Fraud Prevention Expert at CGI. Together, they explore how leading organizations are reframing fraud prevention as a strategic enabler of trust, resilience and long-term growth.</p><p>From the rise of social engineering and agentic AI to the growing importance of data, analytics and ecosystem collaboration, this boardroom-level discussion delivers practical, executive insights for leaders navigating an increasingly complex threat landscape.</p><p><b>In this episode, you’ll learn:</b></p><ul><li>How the fraud landscape has shifted toward social engineering and AI-enabled scams</li><li>Why fraud is now a persistent, enterprise-wide risk—not just an operational issue</li><li>The role of data, analytics and signal fusion in preventing fraud before it happens </li><li>How real-time payments are reshaping fraud risk—and what leaders must do to respond</li><li>What executives and boards should prioritize to build trust, resilience and long-term growth</li></ul><p><br/><b>Featured speakers</b></p><ul><li><b>Tammy McKinnon, </b>Senior Vice President, Global Fraud Management, Scotiabank</li><li><b>Neha Gupta, </b>Director, Consulting Services, Financial Services Fraud Prevention Expert, CGI</li><li><b>Host: </b>Derek Marinos, Manager, Communications and Media Relations – Canada</li></ul>]]></content:encoded>
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    <link>https://www.cgi.com/canada/en-ca/podcast/payments/rethinking-fraud-age-ai-what-it-means-banking-today</link>
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    <pubDate>Mon, 30 Mar 2026 11:00:00 -0400</pubDate>
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    <itunes:duration>1347</itunes:duration>
    <itunes:keywords>Fraud Prevention, Banking, AI, Financial Services, Global Fraud Networks, Payments, Real-Time Payments, AI-Enabled Scams</itunes:keywords>
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    <itunes:title>Accelerating the Insurance SDLC with AI</itunes:title>
    <title>Accelerating the Insurance SDLC with AI</title>
    <itunes:summary><![CDATA[In this episode of CGI Conversations, CGI experts explore how artificial intelligence is transforming the software development lifecycle (SDLC) in the insurance industry. As claims volumes rise, regulations evolve, and customer expectations increase, traditional development models can no longer keep pace. AI is helping insurers accelerate delivery from months to weeks while improving quality, resilience and compliance. But success requires more than AI-powered coding. It requires rethinking t...]]></itunes:summary>
    <description><![CDATA[<p>In this episode of CGI Conversations, CGI experts explore how artificial intelligence is transforming the software development lifecycle (SDLC) in the insurance industry. As claims volumes rise, regulations evolve, and customer expectations increase, traditional development models can no longer keep pace.</p><p>AI is helping insurers accelerate delivery from months to weeks while improving quality, resilience and compliance. But success requires more than AI-powered coding. It requires rethinking the entire SDLC.</p><p>CGI leaders discuss how insurers are already seeing measurable results from AI across development, testing, documentation and architecture. They also explore how organizations can scale AI responsibly with the right governance, operating models and human oversight.</p><p>You will learn:</p><p>• Why traditional 6 to 18 month development cycles are becoming unsustainable for insurers<br/> • How AI is already delivering measurable ROI in software development and testing<br/> • Why focusing on coding alone creates new bottlenecks in the SDLC<br/> • How end-to-end lifecycle transformation unlocks exponential value<br/> • What insurers should focus on in the first 90 days of AI adoption<br/> • How governance and resilience must evolve alongside faster delivery<br/> • What AI agents and orchestration could mean for insurance technology by 2027</p><p><br/></p><p>Featuring CGI experts:</p><p>Tarun Dehariya, Insurance Sector Lead, TFS<br/>Chris Juryn, Head of AI &amp; Emerging Technologies, GTO<br/>Guillaume Brincin, Director, Consulting-Expert – AI &amp; Immersive Technologies</p><p>Host: Derek Marinos, Manager, Communications and Media Relations, Canada</p>]]></description>
    <content:encoded><![CDATA[<p>In this episode of CGI Conversations, CGI experts explore how artificial intelligence is transforming the software development lifecycle (SDLC) in the insurance industry. As claims volumes rise, regulations evolve, and customer expectations increase, traditional development models can no longer keep pace.</p><p>AI is helping insurers accelerate delivery from months to weeks while improving quality, resilience and compliance. But success requires more than AI-powered coding. It requires rethinking the entire SDLC.</p><p>CGI leaders discuss how insurers are already seeing measurable results from AI across development, testing, documentation and architecture. They also explore how organizations can scale AI responsibly with the right governance, operating models and human oversight.</p><p>You will learn:</p><p>• Why traditional 6 to 18 month development cycles are becoming unsustainable for insurers<br/> • How AI is already delivering measurable ROI in software development and testing<br/> • Why focusing on coding alone creates new bottlenecks in the SDLC<br/> • How end-to-end lifecycle transformation unlocks exponential value<br/> • What insurers should focus on in the first 90 days of AI adoption<br/> • How governance and resilience must evolve alongside faster delivery<br/> • What AI agents and orchestration could mean for insurance technology by 2027</p><p><br/></p><p>Featuring CGI experts:</p><p>Tarun Dehariya, Insurance Sector Lead, TFS<br/>Chris Juryn, Head of AI &amp; Emerging Technologies, GTO<br/>Guillaume Brincin, Director, Consulting-Expert – AI &amp; Immersive Technologies</p><p>Host: Derek Marinos, Manager, Communications and Media Relations, Canada</p>]]></content:encoded>
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    <pubDate>Fri, 20 Mar 2026 08:00:00 -0400</pubDate>
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    <itunes:duration>2119</itunes:duration>
    <itunes:keywords>AI, artificial intelligence, insurance, insurtech, software development lifecycle, SDLC, generative AI, software development, QA automation, DevOps, digital transformation, enterprise AI</itunes:keywords>
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