Data Science With Sam
EP 21: AI Transformation: Beyond the Hype
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Show notes
Most companies are getting AI transformation spectacularly wrong. In this eye-opening episode, we sit down with data and AI thought leader Nan Li to uncover why adoption—not technology—remains the #1 barrier to AI success.
Forget the buzzwords and empty promises. This is a no-nonsense conversation about what actually works in AI transformation. Nan challenges the conventional wisdom, revealing why starting with "Can we build it?" is the wrong question and sharing the practical framework that successful organizations use instead.
What You'll Learn:
Why the "tech-first" approach is killing AI initiatives
What "AI-ready data" actually looks like in messy business reality
The 4 levels of AI literacy every organization needs to understand
How to balance innovation speed with responsible AI practices
The "WOULD WE?" framework for building winning business cases
Practical build vs. buy decision-making strategies
Whether you're a C-suite executive, middle manager, or frontline worker, this episode delivers actionable insights for navigating AI transformation successfully. No hype, just proven strategies from someone who's been in the trenches.
Perfect for: Business leaders, data professionals, AI practitioners, and anyone responsible for driving digital transformation in their organization.
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