AI Leadership Lab, by Ryan Heath

Explore how artificial intelligence is transforming the future of work with AI insights from C-Suite leaders and AI founders. Former Axios AI Correspondent Ryan Heath explores how AI is reshaping leadership and business strategies in thoughtful, non-technical discussions about making AI work.

AI Leadership Lab, by Ryan Heath is a technology podcast hosted by Ryan Heath, with 15 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Ryan Heath hosts AI Leadership Lab, by Ryan Heath, a technology show with 15 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #6

  Turning News Into Intelligence, with Jeff Lurie, Perigon Chief Business Officer

  Mar 19, 202615 minS2

  <p>Episode Overview</p><p>In this episode of AI Leadership Lab,Ryan sits down with Jeff Lurie, Chief Business Officer of Perigon, to explore how AI is transforming the way organizations consume and act on news and real-time information. Jeff unpacks the fundamental problem of information overload explains how AI is needed to go beyond basic keyword monitoring to deliver structured, actionable intelligence. For anyone who has wrestled with clunky, expensive media monitoring tools or wasted hours sifting through irrelevant alerts, this conversation offers ideas on how to stay informed with AI. </p><p><br></p><p>Key Takeaways</p...

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  Episode #5

  Johnny Ayers, CEO of Socure

  Feb 26, 202613 minS2

  <p>Episode Overview</p><p>In this episode recorded at the World Economic Forum in Davos, Ryan sits down with Johnny Ayers, CEO of Socure, to discuss the evolving challenges of identity verification, fraud prevention, and trust in an age of AI-powered deepfakes and digital doppelgangers. </p><p><br></p><p>Key quotes </p><p>"The ability to discern between a human and a video feed, two years ago, you could see it with a naked eye. You can't see it anymore."</p><p>"It's surprising that more folks haven't talked about how and when and where you can trust...

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  Episode #3

  Deloitte Global AI Leader Nitin Mittal

  Feb 16, 202644 minS2

  <p>Episode Summary: In this compelling conversation, Nitin Mittal shares insights from his unique position as the AI strategy leader across Deloitte's global operations. </p><p>From scaling AI implementations across Fortune 500 companies to navigating the rapid evolution from predictive AI to generative AI, Nitin discusses the practical realities of enterprise AI adoption. He explores the critical importance of trust frameworks, the emerging role of agentic AI, and why he believes we're entering a transformative period where AI will fundamentally reshape how organizations operate and compete.</p><p><br></p><p>Key quotes</p><p>"Trust is not just a...

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  Episode #2

  Uniphore CEO Umesh Sachdev - Moving from AI Pilots to Business Outcomes

  Feb 9, 202612 minS2

  <p>In this episode of AI Leadership Lab, host Ryan Heath interviews Umesh Sachdev, CEO of Uniphore, live from the World Economic Forum in Davos. As the leader of a company serving over 2,000 customers globally, Umesh shares critical insights about the shift from AI experimentation to real business impact in 2026. The conversation explores how C-suite leaders are moving beyond the novelty of GPUs and LLMs to focus on outcome-as-a-service models, the importance of cost optimization across different AI use cases, and why the pace of decision-making has become the defining factor separating AI leaders from laggards.Key TakeawaysThe Era of...

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  Episode #1

  The Future of Data with Philip Rathle, Neo4J CTO

  Jan 30, 202622 minS2

  <p>In this episode of AI Leadership Lab, host Ryan Heath sits down with Philip Rathle, Chief Technology Officer at Neo4j, to explore how graph databases are revolutionizing AI infrastructure and enterprise knowledge systems. </p><p>Philip reveals why understanding the relationships between data points is more powerful than having all the facts, and how companies like Google built trillion-dollar businesses on graph algorithms. From explaining knowledge graphs in plain language to discussing how graph-based retrieval can make AI more trustworthy and explainable, this conversation delivers actionable insights for leaders seeking to build more effective AI systems.</p><p><...

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