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UID:pretalx-scipy-2026-GSBQXK@pretalx.com
DTSTART;TZID=CST:20260716T143500
DTEND;TZID=CST:20260716T150500
DESCRIPTION:The Atmospheric Radiation Measurement (ARM) User Facility Data 
 Center (ADC) capable of supporting scalable\, secure\, and reproducible en
 gagement with atmospheric research data is evolving towards AI-ready ecosy
 stem. We will discuss architectural designs utilized in production scienti
 fic data setting including open-source technologies to further multi-agent
  coordination\, agentic retrieval-augmented generation (A-RAG)\, shared co
 ntextual memory via vector stores\, and model-agnostic inference orchestra
 tion within Kubernetes infrastructure. We will go over ARM's foundational 
 stack designed to support agentic AI workflows for data discovery\, metada
 ta research\, reasoning\, and user engagement. Additionally\, we will go o
 ver architectural decisions\, trade-offs\, and security measures pertinent
  to research computing environments with some demonstrations.
DTSTAMP:20260715T021100Z
LOCATION:Memorial Hall
SUMMARY:Enabling Agentic AI Infrastructure for Scientific Data Ecosystems -
  Chirag Shah\, Utkarsh Mahai\, Austin Aguilar
URL:https://pretalx.com/scipy-2026/talk/GSBQXK/
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