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DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16768\nThis session pair
 s two complementary presentations that together trace the full arc of enter
 prise data transformation — from foundational governance to intellige
 nt, real-time operations.\n\nThe first presentation, delivered by Vishal Ga
 rg, examines how Master Data Management (MDM) establishes a Single Source o
 f Truth by integrating, cleansing, and mastering data across domains such a
 s investigators, institutions, products, and studies. It covers entity reso
 lution methodologies, automated and manual match-and-merge rules, and the r
 ole of data governance in sustaining data quality — illustrated throu
 gh real-world examples from healthcare and clinical research.\n\nThe second
  presentation, delivered by Sumita De, Director of GD IT Data Enablement &a
 mp; Head of Integrations at Regeneron Pharmaceuticals, details how the Glob
 al Development IT team unified fragmented clinical data operations into an 
 event-driven integration platform spanning 150+ studies. The Data Flow Opti
 mization (DFO) program eliminated manual handoffs, enabled real-time pipeli
 ne visibility, and created the governed foundation for AI innovation &mdash
 ; including a GenAI AutoMap tool that reduced data mapping time by 75% and 
 an AI Assistant saving 83 hours per week across compliance workflows.\n\nTo
 gether, these sessions demonstrate how automated RBAC governance, Human-in-
 the-Loop AI, and self-service data access deliver compounding ROI — a
 nd offer a forward-looking perspective on autonomous AI agents as the next 
 frontier for self-managing clinical data pipelines. \n
DTSTART:20261117T154500
SUMMARY:Data Governance and Integration: From Single Source of Truth to Sma
 rt Pipelines Enabling AI
DTEND:20261117T162959
LOCATION: See Description
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