On this episode, we welcome Scott Brown, an architect at Andelyn Biosciences. Scott has a focus on data flow enablement, operational excellence and innovation to serve analytics and AI.

We discuss the critical importance of human-in-the-loop oversight, the evolving role of evaluation frameworks for AI outputs, and the broader shift toward hybrid AI systems that blend generative and traditional machine learning techniques. From building early, low-risk use cases to preparing for more advanced agentic AI applications, we highlight actionable strategies for responsibly scaling AI across industries.

Scott Brown

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On this episode, we welcome Nan Li, an experienced AI and machine learning leader at Nationwide. Nan shares her insights from years of enabling AI and machine learning adoption within large enterprises, with a focus on workforce readiness, human-AI interaction, and operating model design.

We explore how enterprises are evolving to support AI adoption beyond technical teams, highlighting the shift from centralized innovation to more distributed, domain-embedded use. Additionally, we examine the emerging personas within an AI-enabled workforce—builders, users, and protectors—and the cultural and structural changes required to empower each group. From democratizing low-risk use cases to managing risk in high-impact workflows, we offer a practical look at how organizations can build an AI-ready workforce in a responsible, scalable way.

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In this episode, we welcome Mike Alvarez, Chief Technology Officer at NeuZeit, a consulting firm specializing in value acceleration, particularly for AI initiatives. Mike shares insights on agentic architectures, their role in automating complex workflows, the evolving landscape of AI governance, and how businesses can balance innovation with structured AI adoption.

We explore the challenges and opportunities in AI value acceleration, discussing how enterprises can move beyond experimentation to real, operationalized impact. We also examine key trends shaping AI in 2025, from advancements in AI-driven automation to the growing need for human-centered governance frameworks.

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