AI isn’t just a technology play. It is a readiness game.In this episode, Vijay Krishnam breaks down what it really takes for enterprises to succeed with AI… and why so many still struggle to turn AI investments into business value. From regulated industries like banking and healthcare to fast-moving tech environments, we explore the five pillars of AI readiness: infrastructure, data quality, talent, governance, and culture.We talk about real-world AI challenges, ethical pressures, data governance realities, KPIs that matter, and why cultural alignment is often the deciding factor between flashy POCs and actual impact.If your company is exploring AI, scaling it, or you want to understand the truth behind enterprise AI success, this episode is a must watch.What you’ll learn• What AI readiness really means• Why culture and governance matter more than models• How regulated industries approach AI adoption• Where companies go wrong with AI investments• A practical mindset for long-term AI successKey quotes"Cultural alignment is very important.""Garbage in, garbage out is still true for AI.""Start with a business problem, not technology."Connect🎧 Subscribe to the podcast📰 Join the newsletter on Substack💬 Tell us your thoughts in the comments