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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)

Jonathan Wall headshot

Jonathan Wall

CEO at Runloop

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Jonathan Wall is the co-founder and CEO of Runloop, an AI infrastructure company providing enterprise-grade environments for deploying coding agents safely and at scale. A repeat founder with deep roots in fintech and developer infrastructure, he previously co-founded Google Wallet — bringing tap-to-pay technology to the US — and Index, a fintech startup acquired by Stripe, where he subsequently led product engineering. He holds an MS in Computer Engineering from the University of Rochester.

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.

Shikha Verma headshot

Shikha Verma

Head of Product for Data at AWS

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Shikha leads product for data, analytics, and AI at Amazon Web Services, where she has spent over nine years driving large-scale data and AI initiatives, from product strategy through scaled, mission-critical analytics platforms used by global customers. She has more than 20 years of experience across hyperscale cloud, startups, and enterprise transformation, and has built cross-functional teams spanning product, engineering, and data science. Shikha is also a recognized speaker, author, and advisor in the data and AI community, and previously founded and led her own startup.

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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