AI-Driven Global Commerce Readiness: An Execution Harness for Distributed Systems

#AI #AgenticAI #GlobalCommerce #DistributedSystems #Microservices #EventDrivenArchitecture #AIAgents #Reliability
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Modern commerce platforms often fail at the seams: Catalog, Pricing, Promotions, Tax, and Compliance may succeed independently, yet a product can remain unready for sale.

This session presents an AI execution harness for global commerce readiness, integrating LLM-based reasoning with constrained planning, deterministic validation, event-driven coordination, and recoverable execution.

Using global product onboarding as an example, Amit will explain how AI-driven orchestration can coordinate distributed services, enforce business policies, recover from partial failures, and establish a verifiable sellable state across markets.

Attendees will gain a practical architectural blueprint for building adaptive, explainable, and trustworthy agentic AI systems, shifting success from workflow completion to business readiness.

The session will include a 40-minute presentation followed by 10 minutes for Q&A.



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  • Co-sponsored by Central Indiana IEEE Computer Society
  • Starts 03 November 2026 12:00 AM UTC
  • Ends 20 November 2026 10:00 PM UTC
  • No Admission Charge


  Speakers

Amit Kumar Padhy of Adobe

Topic:

AI-Driven Global Commerce Readiness: An Execution Harness for Distributed Systems

Biography:

Amit Kumar Padhy is a Senior Computer Scientist II and Lead Architect at Adobe. Based in Sunnyvale in the San Francisco Bay Area, he works out of Adobe’s San Jose, California headquarters. He specializes in cloud-native platforms, distributed systems, and AI-enabled digital commerce. He architects and modernizes mission-critical, event-driven microservices at a global scale, with an emphasis on reliability, performance, cost optimization, and platform governance. Amit is an invited keynote speaker at international IEEE conferences and has delivered PRO-level talks at leading industry events, including DeveloperWeek, ProductWorld, TMLS, and major AI and Data Science Summits. He has also served on advisory boards for IEEE and ACM conferences.