Why Data Driven Cultures Succeed and Technology Alone Falls Short
As we launch season 10, your favorite semi-sentient British AI co-host returns to the microphone alongside Frank La Vigne for a compelling exploration of what it truly means to be a data-driven organization. In this episode, Frank sits down with Sebastian Wernicke, author of “Data Inspired” and renowned expert in data and AI strategy, to…
Navigating the Wild West of AI in Finance: Policies, Pitfalls, and Opportunities
In this episode, we dive into the rapidly evolving world of AI in the financial sector. Frank La Vigne and Candace Gillhoolley are joined by Daniel Yoo, founder and CEO of Finmate AI, a company at the forefront of custom agentic AI solutions for financial advisors. Together, they explore how artificial intelligence is transforming internal…
Token Economy and AI Agents: The Final Hurdles in Enterprise Deployment
In this episode, Frank La Vigne sits down with his Red Hat colleague Christopher Newland for a deep dive into the evolving challenges and opportunities at the intersection of AI, open source, and enterprise technology. Fresh off attending both IBM Think and Red Hat Summit, Christopher Newland shares insights from two very different industry perspectives—executive…
The Neuroresilient Leader: Staying Human in the Age of Artificial Intelligence
In this episode, hosts Frank La Vigne and Candace Gillhoolley sit down with Angus Nelson—author, podcaster, and expert on leadership and human potential in the age of AI. Together, they dive deep into the rapidly changing landscape of technology and work, exploring how relentless market volatility, AI advancements, and global complexity are putting unprecedented stress…
Governance, Architecture, and the Evolving Role of Data Engineers in the AI Age
In this week’s show, Frank La Vigne sits down with data and analytics engineer Wasim Rana for a deep dive into the realities of building, managing, and securing data infrastructure in modern businesses. Together, they explore the critical challenge of preventing data lakes from turning into data swamps, the practical pipeline from raw to curated…
