AI is moving quickly from experimentation to real business and operational impact—but its success hinges on the data behind it.

This session explores why data strategy is AI strategy, and how a unified, governed data foundation gives AI the real-time context needed to improve operations at scale. Without it, AI risks adding complexity rather than value.

Drawing on real-world platform architectures, this session shows how an AI-ready data fabric enables more resilient and intelligent workflows. Attendees will learn how federated data access, lifecycle governance, and AI-native platforms power agentic systems that detect issues earlier, automate routine actions, and deliver insights across workflows—without disrupting trust, compliance, or existing systems. The outcome is simpler operations, faster response, and a scalable foundation for sustainable AI-driven innovation.

In this webinar, attendees will learn:

• The challenges of explosive data growth and the proliferation of disparate data sources
• The importance of unified data management, including configuration, processing, and management of data
• How federated analytics can break down data silos by providing federated access to access across different systems