Closed-Loop Intelligence: How AI Plans, Connects, Fails, and Learns Across the Hyperscale Infrastructure Lifecycle

#artificial-intelligence #planning #pipelines #human-in-the-loop
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At AWS scale, a single capacity planning error misallocates hundreds of millions in CapEx. Spreadsheets don't survive at this velocity — closed-loop AI systems do.

This session delivers a practitioner's unfiltered view from inside hyperscale infrastructure planning at AWS. We examine how AI pipelines connect demand forecasting, gap analysis, build planning, and rack deployment into a single end-to-end system and what that looks like in operational reality. We explore how feedback loops enable planning systems to detect model drift, recalibrate on actuals, and compound forecast accuracy over time.

But intelligence without failure analysis is incomplete. We confront what happens when the forecast is wrong at scale, how failure cascades across procurement, deployment, and customer commitments, and how human-in-the-loop governance and explainable AI contain the damage and restore trust.

 

AI that plans, connects, fails, and learns.


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  • Starts 16 May 2026 04:00 AM UTC
  • Ends 11 July 2026 04:00 AM UTC
  • No Admission Charge

  Speakers

Nainsi Jain

Biography:

Nainsi Jain is a Senior Technical Program Manager at Amazon Web Services, where she is leading the development of a six-product enterprise platform that has fundamentally transformed global data center network capacity delivery eliminating 21 legacy tools and achieved 40% operational efficiencies, and avoidance of $95 million in cost over a span of five years of global launch. Managing programs of high complexity, Nainsi aligns 200+ contributors across software engineering, infrastructure delivery, supply chain, and finance across multiple continents consistently delivering reduction in infrastructure lead times and SLAs. 

With 16+ years of progressive leadership spanning technical program management, data analytics, supply chain transformation, and international business operations across the United States and India, Nainsi brings a rare combination of technical depth, strategic vision, and operational rigor to every program she leads. She holds a Bachelors in Mathematics, a Masters in Business Administration, a Master of Science in Data Science and a Master of Science in Global Logistics. She is an IEEE Senior Member and active member of the IEEE Computer Society, Women in Engineering, and Technology and Engineering Management Society, recognized as a thought leader, invited speaker, and judge within the global engineering community.

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Agenda

Arlington Central Library

10 am - 11 am   ---->  Setup and Networking

11 am -12 noon ----> Speaker Presentation

12 pm - 12:30 pm ---> Wrap up