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 initiativesWhat "AI-ready data" actually looks like in messy business realityThe 4 levels of AI literacy every organization needs to understandHow to balance innovation speed with responsible AI practicesThe "WOULD WE?" framework for building winning business casesPractical build vs. buy decision-making strategiesWhether 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.

Ver todos los episodios