Scaling AI from proof-of-concept to enterprise-wide value creation remains elusive for most organizations. AI pilots are everywhere, but only 15% of enterprises have successfully unlocked measurable ROI. A great AI model isn’t enough-you need strategic implementation, governance, and clear business alignment to drive shareholder value.Dive into this raw, unfiltered conversation with Shobhit Varshney, IBM’s AI & Automation Leader, as he dismantles common misconceptions and delivers actionable frameworks for scaling AI in the enterprise.What You’ll Learn:-The biggest myths about enterprise AI in 2025-what’s hype vs. reality-How to measure AI success-the real business metrics CXOs should track-Why most AI pilots fail and how to transition to large-scale adoption-The truth about AI governance-why a one-size-fits-all approach doesn’t work-How IBM uses AI to automate 75% of workflows-and what enterprises can learn-Should businesses build their own AI or use pre-trained models?-The most dreaded: Will AI replace jobs or create more economic value?Must-Watch Moments: IBM’s own measurable success outcomes via AI - 16:58 The only thing CXOs should worry about when implementing AI - 20:23 How to Measure AI Success in Business - 22:35 The Most Overhyped AI Trend Right Now? -  27:18 Should Enterprises Build or Buy AI Models? - 28:07 Follow Chirag Khanijau -    / chirag-khanijau  Follow Shobhit Varshney -   / shobhitvarshney