Session

Scaling Databricks Genie 10x at GSK Global Supply Chain: Building a Production AI/BI Factory

Overview

ExperienceIn Person
TrackAnalytics & BI
IndustryHealthcare & Life Sciences
TechnologiesAI/BI, Lakebase
Skill LevelAdvanced

Most organizations don't struggle to prototype conversational AI—they struggle to get it reliably into production at scale. At GSK's Global Supply Chain, operating across 37 GMP-regulated manufacturing sites with thousands of daily decisions, we built an AI/BI factory designed to move Databricks Genie from early experimentation to enterprise-grade production—serving analysts, planners and decision-makers across a complex, regulated environment.This talk explores the journey from pilot to platform: how we scaled Genie 10x by treating it not as a standalone tool, but as a production system embedded in a broader agent operating model—one that fuses technology, process, governance and organizational ways of working into a repeatable delivery engine.What we’ll cover:

  • Genie Spaces lessons learned and best practices
  • Enterprise observability dashboard for Genie
  • CI/CD migration and deployment automation for DevOps
  • Semantic caching for Genie

Session Speakers

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Virginie Marelli

/Principal Generative AI Engineer
GSK

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Kshitiz Sharma

/Sr. AI Engineer, AI FDE
Databricks