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RADAR: Don't Waste Your Time on AI Pilots

Thursday, October 1, 10:35 AM ET

Key Takeaways

  • Why so many enterprise AI pilots never make it to production — and how to avoid that trap
  • How governance, workflow design, and workforce skills combine to enable scalable AI adoption
  • What measurable business outcomes leading organizations track to prove AI ROI

Your Presenter(s)

Krishnan Hariharan headshot

Krishnan Hariharan

CTO at Honeywell

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Krishnan Hariharan leads technology and engineering at Honeywell Forge, the company's AI and industrial software platform. He has over 20 years of experience building software products at VC and PE-backed companies. Before Honeywell, he was VP of Engineering at PrecisionHawk, a drone technology company, and also worked at Amazon Web Services. He holds an MBA from Duke University's Fuqua School of Business. Krishnan focuses on turning AI and data capabilities into real business results.

Satesh Kumar Sonti headshot

Satesh Kumar Sonti

Principal Analytics Specialist Solutions Architect at AWS

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Satesh Kumar Sonti is a Principal Analytics Specialist Solutions Architect at AWS, based in Atlanta, where he specializes in enterprise data platforms, data warehousing, and data solutions. He has over 20 years of experience building data assets and leading data platform programs for banking and insurance clients around the world.

Laurent Gil headshot

Laurent Gil

President & Co-Founder at Cast AI

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Laurent Gil is President and co-founder of Cast AI, a Kubernetes automation platform for cloud-native and AI infrastructure that also built Kimchi, an open-source autonomous coding agent. A serial entrepreneur, he previously co-founded Zenedge, a cloud security company acquired by Oracle in 2018, and Viewdle, a computer-vision startup acquired by Google in 2012.

Why this matters

Explore how organizations are moving beyond isolated AI experiments to scalable, production-ready adoption by focusing on governance, workflows, workforce skills, and measurable business outcomes.

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