About this episode
In this special episode, host Cindi Howson pulls together the most useful, and hard-won, lessons from a year of conversations with Data Chiefs leading the GenAI charge. With generative and agentic AI no longer a side experiment, this episode spotlights five practices early adopters can rely on to move from pilots to profit. Expect straight talk on what to prioritize, how to bring people with you, and how to scale AI with the trust, literacy, and guardrails that make impact stick.Key Moments:Tying AI to Real Dollars with Anand Iyer, Ecolab (02:10): Anand cuts through the GenAI FOMO and brings everything back to a simple survival test: if you can’t draw a straight line from an AI initiative to top-line growth or bottom-line savings, it won’t last. His lesson is a sharp reminder that “cool” doesn’t scale, value does. Leading Through Ambiguity with Karen Stroup, WEX (06:01): Karen names what everyone’s feeling: ambiguity is paralyzing. She explains how leaders earn trust by shrinking the unknown into learnable, bite-sized experiments and creating the psychological safety people need to engage instead of resist.Building Practical AI Literacy at Scale with Josh Cunningham, Lloyds Banking Group (12:42): Josh shares how Lloyds Banking Group makes literacy impactful by meeting people where they are. Rather than one-size-fits-all training, they pair broad fundamentals with role-specific learning so every business unit can build confidence in ways that match their actual work. Scaling Responsible Agentic AI with Noelle Russell, AI Leadership Institute (25:09): Noelle steps in with a practical framework for building agentic systems that don’t go rogue. She walks through the POET framework and stresses that responsible AI isn’t a final checkpoint. It’s something you embed from the first idea to production, with guardrails that protect people and outcomes.Embedding AI Where Work Happens with Ilan Twig, Navan (32:35): Ilan tells a classic early-adopter story: start with a business problem, move fast, and be ruthless about what needs building versus buying. His lesson is that AI wins when it’s inside the workflow, supporting decisions at the point of impact rather than living in a separate tool. Don’t Let Perfection Stall Progress with Ketan Karkhanis, ThoughtSpot (40:59): Ketan shares a culture gut-check: waiting for perfect metrics, perfect KPIs, or perfect clarity is how progress dies. He argues for visible, trust-building iteration, because in AI, speed to learning beats speed to certainty. Key Quotes:“One thing that people sometimes forget is that at the end of the day, it's all about are we either saving money or making money? And are you able to show that in the bottom line or the top line in a measurable way?” - Anand Iyer“I don't think there's any chief anything officer that should not be considering AI today. I think if you're not considering
