LLMday

Large Language Models, Agents & AI Systems

April 16, 2026 Harness, San Francisco, United States

1
Day
20+
Speakers
2
Tracks
100+
Attendees

Commerce Without Boundaries: Agentic AI Meets Universal Protocols

Aswini Atibudhi
Walmart
Abstract

As AI agents move from assistants to decision-makers, the architecture of commerce is fundamentally shifting. Static catalogs are giving way to dynamic, graph-driven systems, and APIs are evolving into interoperable protocols. The buying journey is no longer designed—it’s computed. This session explores how AI + universal protocols are redefining commerce—toward composable, context-aware, autonomous transactions. This isn’t an incremental shift—it’s a rewiring of how the world buys.

Bio

Aswini is a Distinguished Architect at Walmart Global Tech, with over 25 years of IT experience in designing scalable AI/ML, micro frontend, microservices, and cloud applications. His professional expertise encompasses diverse domains including finance, telecom, healthcare, and e-commerce meticulously developed through his tenure at Cisco, Equinix, Finastra, and TCS. Over seven years at Walmart, he has been a founding member of critical platforms like Last Mile Delivery, Fleet Management, Merch One, Supplier Portal and several others. As a recognized expert in gen AI & Agentic AI, Aswini specializes in leveraging machine learning and large language models to create transformative digital experiences, including personalized content generation and AI-driven customer engagement.

He has received numerous awards including Walmart’s Innovation Award, Equinix’s Top Performer Award, and Cisco’s Group Race Award. With many certifications in AI, machine learning, and cloud technologies, he stays at the forefront of innovation. Known for his strategic insights, Aswini has a proven ability to deliver transformative AI solutions across industries.

Outside work he enjoys hiking, mountain biking, and painting, reflecting his creative and adventurous spirit.

Video

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