SPE OKC May Monthly Luncheon

Enterprise AI: Large Language Models and Beyond

Beau Rollins

Devon Energy

Abstract:

Large Language Models (LLMs) empower users to leverage AI through simple commands. To fully harness the potential of LLMs, organizations need to develop a comprehensive system that enhances the contextual understanding, capabilities, and utility of these models. This system, known as Enterprise AI, offers distinct benefits over other LLM solutions. In this presentation, I will introduce the concept of Enterprise AI and its unique value proposition. We will explore three primary types of Enterprise AI interactions that boost knowledge worker efficiency, facilitate access to enterprise resources, and enrich digital processes. Each interaction type will be illustrated with practical use cases, and I will delve into some of the underlying components, including LLMs, augmented interactions, and vector databases. Additionally, I will outline the formula for creating effective, enterprise-scale AI solutions. By the end of this session, attendees will be equipped with the knowledge and inspiration to embark on their own Enterprise AI journey.

Biography:

As the Data Science Advisor on Devon Energy's Emerging Technology team, I bring 18 years of experience solving upstream oil and gas problems. I specialize in delivering innovative, collaborative solutions to complex business challenges. My work spans technology and business leadership, building teams to solve critical analysis and modeling issues in subsurface, engineering, and corporate teams. I served as a steering committee member for the 2024 SPE AI Forum. I hold a B.S. in Management Information Systems and Ethics from Mid-America Christian University and an M.S. in Analytics from Texas A&M University.

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Host or Publisher Society of Petroleum Engineers Oklahoma City Section