What’s Actually Working in Enterprise AI with Ryan Wexler

Bringing AI into Healthcare Workflows with Preeti Vaidya

In this episode, Yoni sits down with Preeti Vaidya of Morgan Health to explore how AI can improve healthcare without replacing the human judgment at its center. Preeti shares how AI can support clinicians, help patients navigate care, and reduce friction in employer-sponsored healthcare by meeting users inside their existing workflows. The conversation also digs into the realities of data fragmentation, clinical decision support, and why the future of AI in healthcare depends on building tools that are useful, trustworthy, and deeply human.

AI, Advisors, and the Future of Wealth Management with Nondas Virvidakis

In this episode, Yoni sits down with Nondas Virvidakis, product leader at UBS Wealth Management Americas, to explore how AI is being built and adopted inside a highly regulated enterprise. Nondas shares how AI can help financial advisors better serve clients, why successful adoption depends on champions, training, and feedback loops, and what it takes to balance innovation with the controls required in financial services.

What’s Actually Working in Enterprise AI with Ryan Wexler

In this episode, Yoni sits down with Ryan Wexler, Principal at SignalFire, for a wide-angle view of the AI market. They explore what’s actually getting adopted inside large enterprises, why most organizations are still early in their AI journey, and the three major ways AI companies are winning today—from individual productivity tools to next-generation SaaS and full workflow transformation. Ryan also shares where he sees the biggest opportunities ahead, including voice AI, self-improving agent systems, and the future of AI-native software.

AI-Native Engineering at Scale with Rittika Jindal

In this episode, Yoni sits down with Rittika Jindal, Principal Engineer at Thomson Reuters, to explore what software engineering looks like in an AI-native world. From planning and code generation to automated reviews, testing, and debugging, Rittika shares how her team has rebuilt the entire software development lifecycle around AI. The conversation also dives into what this means for engineering teams, future talent, and why developers are increasingly becoming planners, evaluators, and systems thinkers rather than just code writers.

Scaling AI Beyond the Pilot Phase with Todd James - Part 2

In the second half of the conversation, Todd James joins Yoni to dive deeper into the practical realities of scaling AI inside organizations. They explore how leaders should think about governance, evaluation, and long-term AI strategy as experimentation gives way to real operational impact. Todd shares lessons from the front lines of AI adoption, including how to prioritize the right use cases, manage expectations, and build systems that can evolve as the technology rapidly changes.