A must-watch for CXOs, CIOs, and enterprise leaders navigating the gap between AI ambition and measurable business value.
In this episode, Shobhit Varshney shares how he helps lead IBM Consulting’s data, AI, and automation business across the Americas at enterprise scale. With responsibility spanning large clients, complex ecosystems, and hybrid AI strategies, he brings a practical lens to one of the biggest questions in business right now: how do you move from AI pilots to real outcomes. Shobhit breaks down why only a small set of enterprises are unlocking measurable ROI, and what leaders need to do differently to scale AI with trust, governance, and business clarity.
Why you should watch: If you are trying to turn AI from experimentation into enterprise value, Shobhit’s perspective on what actually works versus what gets overhyped will sharpen your strategy.
Shobhit explains:
- Why most enterprises fail with AI when they chase pilots before defining business value
- How leaders can scale AI by aligning strategy, workforce change, governance, and technology
- Why trust, transparency, and flexible governance matter more than one-size-fits-all controls
- How IBM applies AI internally to automate workflows and create measurable outcomes at scale
- How enterprises should think about model choice, from small open models to larger proprietary options
- Why the future of AI advantage will come from workflow intelligence, not just access to models
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Chirag Khanijau
