Self-Driving Data at Scale: How GM & IQVIA Operationalize Data Trust for the Agentic Enterprise
From Data Firefighting to AI-Ready Foundations
This session features General Motors and IQVIA discussing the transition from manual data firefighting to autonomous, AI-driven observability. Hear how these leaders use Anomalo and Databricks to build "AI-ready" foundations, reducing engineering toil while scaling trust across global supply chains and complex telemetry.
What You'll Learn
Proactive Observability
Move from "break-fix" cycles to autonomous detection that identifies anomalies before they disrupt operations.
Operationalizing Data Mesh
Scale quality across diverse domains, from vehicle signals to healthcare insights, without brittle manual rules.
Empowering the Agentic Era
Use AI assistants to democratize data discovery and governance, making trusted data accessible to every team.
Modernizing Foundations
Lessons from migrating legacy estates to a unified, governed Databricks platform built for production AI.
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Artificial Intelligence, Data Management, Databases
Artificial Intelligence, Data Management, Databases