Data scientist, AI educator, and keynote speaker helping people and organizations turn data into impact.
I'm a data scientist and AI leader at Red Hat, where I help organizations move artificial intelligence from impressive demos into real, production-grade impact. Before Red Hat, I spent years at Microsoft working across the data and AI stack.
I've been publishing as Frank's World since 1995 — through every era of the web. Today that means the Data Driven podcast, Frank's World TV on YouTube, courses on Pluralsight, and regular livestreams on everything from agentic AI to quantum computing.
Whether on a keynote stage or behind a microphone, my goal is the same: make AI and data science understandable, useful, and human.
I speak at conferences, corporate events, and on podcasts about where AI is really headed — with clarity, energy, and zero hype. Here are signature topics I bring to the stage.
What changes when AI can plan, use tools, and act autonomously — and how organizations should prepare for the agentic era.
Moving from demos to production: MLOps, open source models, and bringing AI into regulated and large-scale environments.
Demystifying machine learning and data science for technical and non-technical audiences alike.
A grounded, optimistic look at how AI reshapes careers, creativity, and the way teams build.
My latest book, plus more from the shelf.
What Nations and Enterprises Actually Need to Own in the Age of AI
Sovereignty in AI was never a trophy you win — it’s a stack of dependencies, and you’re only as sovereign as your weakest layer. This revised and expanded 2026 edition cuts through the marketing around “sovereign AI” and gives you a layer-by-layer framework for deciding what a nation or organization must own, what it can govern, and what it can safely rent.
Beyond the stage, I publish constantly. Tune in wherever you like to learn.
Booking a keynote, planning a podcast episode, or exploring an advisory role? I'd love to hear from you.