Trusted leader of a high-performing data engineering team at Coterra Energy, driving and supporting transformative oil & gas data initiatives. Accomplished data professional with broad experience in data warehousing, analytics, business intelligence and process analysis. I thrive on molding enterprise data into strategic business assets for growth and success.
AI agents and intelligent applications promise major gains for the energy industry, but only when they are built on trusted, well-governed data. Coterra Energy learned early that jumping straight to AI without fixing data fragmentation would only amplify existing problems.
In this session, Coterra shares how they first unified distributed operational, vendor, and proprietary data into a single logical data warehouse and internal platform. With that foundation in place, they are now advancing their AI initiative by using AI to automate metadata creation, enable natural language access through a data marketplace, and support future AI agents that operate on live, governed data.
This session will offer practical advice for organizations looking to move from traditional data management to AI-driven decisioning, showing why data trust, context, and governance are prerequisites for successful AI at scale.
Check out the incredible speaker line-up to see who will be joining JJ.
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