AI and Data Horizons

AI and data are redefining our world. "AI and Data Horizons" distills the most pivotal ideas, strategies, and visions from the sharpest minds you'll find. Hosted by Michael Gale, the Wall Street Journal–bestselling author of "The Digital Helix" and acclaimed Forbes podcaster behind "Futures in Focus," this series invites you to join an elite group of thought leaders shaping our AI fueled future.

AI and Data Horizons is a business podcast hosted by Michael Gale, with 22 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.

Michael Gale hosts AI and Data Horizons, a business show with 22 episodes published.

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  AI and Data Horizons

  Rajnikant Gupta: The Decision Engine Behind AI That Scales

  Aug 12, 202633 min

  Rajnikant Gupta , Global Head of Partner Ecosystems and Alliances at Tata Consultancy Services, argues that enterprise AI stalls not for lack of technology but for lack of a real problem to solve. The fix is what he calls a "decision engine." With host Michael Gale, he traces a shift that runs deeper than tooling: from data-aware to context-aware, reporting to reasoning, automation to autonomy, with AI as a decision coach and humans in the loop. Raj calls this an "intelligence choice architecture," and the enterprises that miss it are the ones whose AI struggles to scale. Listen to the full conversation to hear how TCS ran the same playbook on itself, generating 260,000 ideas and roughly 110,000 apps and agents in a single global hackathon.

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  AI and Data Horizons

  Tom Siebel - Retraining the Workforce for the AI Economy

  Jul 22, 202633 min

  A conversation with Thomas M. Siebel , Founder, Chairman, and Chief Executive Officer of C3 AI, and Author of "Digital Transformation", on why the hardest part of AI was never building the technology—it's getting people to use it—and why reskilling and continuous learning are what separate the organizations that succeed from the ones that stall.

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  AI and Data Horizons

  Dustin Alpert and Frank Conway: Why the World Cup Is a Preview of Commerce to Come

  Jul 8, 202622 min

  At a World Cup match, the clock isn't only measuring the game—it's measuring whether the business behind it can keep up. Dustin Alpert and Frank Conway of Shift4 join the podcast to explain why the world's most demanding venues become the testing ground for cutting-edge commerce, where tens of thousands of fans buy in one tight window and every second counts. They break down why frictionless, "invisible" commerce only works on a unified, real-time data foundation. When payments, point-of-sale, ticketing, and loyalty feed one system, an operator can act while the fan is still in the building; when they sit in silos, the moment is already gone. They also look at where things head next, from AI working behind the scenes and as a fan-facing concierge, to the rise of agentic commerce.

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  AI and Data Horizons

  Daniel Yarmoluk - The Context Window Bottleneck

  Jun 15, 202622 min

  Daniel Yarmoluk , AI architect and founder of GraphifyMD who is also an adjunct professor at the University of St. Thomas, joins the podcast to discuss why the context window—not raw model power—has become the real bottleneck for enterprise AI. As token consumption soars and agent workforces scale, Daniel and host Michael Gale reframe the challenge as one of architecture: most context capacity is consumed by orchestration, rules, and probabilistic RAG, leaving only a sliver for the domain knowledge that drives good decisions. They explore what metrics CFOs should really be prioritizing, such as cost-per-inference and "intelligence per watt." They also examine why knowledge graphs and ontologies, not more pattern matching, are the way to reduce hallucination and drift, especially for high-stakes industries.

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  AI and Data Horizons

  Rob Feldman and Priyanka Jain - Governing the Agentic Workforce

  Jun 10, 202629 min

  As a billion agents join the workforce, Rob Feldman, Chief Legal Officer at EDB, and Priyanka Jain, VP of Product, AI and Governance at EDB, unpack why this newly converged world of AI and data demands a new kind of governance — one that runs 24/7, at agent speed. Together they explain why the question is no longer "is this agent allowed to do this?" but "is this agent, for this user, with this intent, allowed to do this right now — and can we see exactly what it did?", why self-regulating now beats waiting on regulators, and how a "digital leash" keeps an autonomous agent workforce accountable. The conversation presents leaders with a practical, phased roadmap centered on a core principle: governance can't be an after-the-fact review — it has to start at the data layer, enforcing the rules before an agent ever touches the data.

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