Building a Scalable AI Practice in your business takes talented practitioners and clean data. This session explores how Murphy Oil Corporation is laying the groundwork for scalable AI by transforming legacy data into actionable insights while using that effort to grow AI fluency and experience. Murphy’s goal is to empower human energy and refine data into information, support intelligent decision-making across engineering and asset workflows into the future.

Nathan will walk through Murphy’s phased approach to data architecture. We will start with AI-assisted cleansing and standardization of historical well intervention logs and progress toward the development of a flexible, geospatially indexed knowledge graph. Learn how Murphy is leveraging a data lake to incrementally improve data quality at the source, track intervention patterns, and surface hidden inefficiencies. Attendees will gain practical insights into overcoming legacy constraints, planning their organizational journey, and building a foundation that enables engineers to learn faster, act smarter, and unlock real business value, especially in environments where every well counts.