In the evolving landscape ahead of us in 2026, industrial manufacturing companies are moving beyond the hype of generative AI to find a more critical challenge: how to make AI actionable, trusted, and scalable across asset-heavy operations. The shift from reactive monitoring to Agentic AI requires more than just raw data. It requires a context-rich foundation that understands complex relationships.
Join us on March 11 as we revisit the value of the Industrial Knowledge Graph and how it enables the era of autonomous agents. By programmatically linking fragmented data silos and creating contextualized relationships between disparate data sources, Cognite creates the structured semantic framework necessary for AI agents to accurately diagnose issues, optimize workflows, and empower the frontline workforce.
This session will help bridge the gap in the field demonstrating how an AI-ready data foundation enables organizations to scale digital solutions across sites without the constant need for manual rebuilding.
