Register Now for the Society of Petroleum Engineers (SPE) Oklahoma May 2026 Luncheon – May 21, 2026 – Oklahoma City, OK

SPE OKC May Monthly Luncheon

Thursday, May 21, 2026 | 11:30 AM – 1:00 PM
Devon Energy
333 West Sheridan Avenue
Oklahoma City, OK 73102

Enterprise AI: Large Language Models and Beyond

Featuring Beau Rollins, Devon Energy

Presentation Overview

Large Language Models (LLMs) are transforming how organizations interact with data and technology, enabling users to leverage AI through simple, intuitive commands. However, unlocking their full potential requires more than standalone tools—it requires a comprehensive Enterprise AI system.

This session will introduce the concept of Enterprise AI and explore how integrated systems can enhance contextual understanding, expand capabilities, and improve the overall utility of AI within organizations.

Attendees will learn about three key types of Enterprise AI interactions that drive efficiency for knowledge workers, enable better access to enterprise resources, and enhance digital workflows.

Through practical use cases, the presentation will also examine core components such as LLMs, augmented interactions, and vector databases, along with a framework for building scalable, enterprise-level AI solutions.

By the end of the session, participants will gain valuable insight into how to begin implementing effective Enterprise AI strategies within their own organizations.

Speaker Biography

Beau Rollins
Data Science Advisor, Emerging Technology Team, Devon Energy

Beau Rollins brings 18 years of experience solving complex challenges in upstream oil and gas. He specializes in delivering innovative, collaborative solutions across subsurface, engineering, and corporate domains.

His work spans both technical and business leadership, including building high-performing teams to address critical analysis and modeling challenges. He also served as a steering committee member for the 2024 SPE AI Forum.

Beau holds a Bachelor of Science in Management Information Systems and Ethics from Mid-America Christian University and a Master of Science in Analytics from Texas A&M University.

Join us for an insightful session exploring the future of AI in the energy industry.