Evolving the Trusted Data Ecosystem for AI, Geoscience Workflows, and Business Decisions

The Energy Industry is on the cusp of revolutionizing how data is delivered, stored, and used to make business decisions. The trusted data ecosystem (OSDU) provides enough context about the data such as quality, trust, and usability to enable its full potential with AI, ML, and modernized geoscience workflows ultimately expediting how we make and improve business decisions.

Historically workflows have been application centric creating an isolated “silo” effect and greatly complicating data governance due to having to manage multiple copies of data across applications and workflows. Applications also did not share trusted metadata such as quality, uncertainty, history, and purpose.

The OSDU platform by design breaks through these historical barriers shifting the paradigm from application centric to data and workflow centric with its open-source vendor-agnostic trusted data ecosystem.

Having a system-wide context of quality, trust, and usability available to all applications and workflows across the value chain and throughout the entire lifecycle empowers geoscientists and engineers to modernize their workflows and leverage AI with the right context and guardrails needed to expedite and improve business decisions.