

# Event Details

- **Event Name**: SPE OKC May Monthly  Luncheon
- **Event Start and End Date**: Thu, 21 May, 2026 at 11:30 am – Thu, 21 May, 2026 at 01:00 pm (-05:00)
- **Event Description**: Enterprise AI: Large Language Models and Beyond
Compound AI Systems for Oil and GasAbout this EventEnterprise AI: Large Language Models and BeyondBeau RollinsDevon EnergyAbstract: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&amp;M University.  https://cdn-az.allevents.in/events2/banners/e7055300-19ef-11f1-9e27-61f09d4cb8ea-rimg-w1200-h674-dc6489a6-gmir.jpg
- **Event URL**: https://allevents.in/oklahoma-city/spe-okc-may-monthly-luncheon/100001984481295977
- **Event Categories**: business
- **Interested Audience**: 
  - total_interested_count: 0

## Ticket Details

- **Ticket Price Range**: min: 0, max: 569.28, currency: USD

## Event venue details

- **city**: Oklahoma City
- **state**: OK
- **country**: United States
- **location**: Devon Energy
- **lat**: 35.467331
- **long**: -97.5180455
- **full address**: Devon Energy, 333 West Sheridan Avenue, Oklahoma City, United States

## Event gallery

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## FAQs

- **Q**: When and where is SPE OKC May Monthly  Luncheon being held?
  - **A:** SPE OKC May Monthly  Luncheon takes place on Thu, 21 May, 2026 at 11:30 am to Thu, 21 May, 2026 at 01:00 pm at Devon Energy, 333 West Sheridan Avenue, Oklahoma City, United States.
- **Q**: How much do tickets cost for SPE OKC May Monthly  Luncheon?
  - **A:** Tickets for SPE OKC May Monthly  Luncheon are priced at USD 569 per person. Here's a full breakdown of available ticket types:Ticket TypePriceAvailabilitySPE MemberUSD 36 + USD 3 fee + USD 3 taxAvailableNon-MemberUSD 58 + USD 4 fee + USD 5 taxAvailableStudent/Member in Transition IN PERSONFreeAvailableDonationFreeAvailableLunch SponsorUSD 569 + USD 24 fee + USD 45 taxAvailable
- **Q**: Who is organizing SPE OKC May Monthly  Luncheon?
  - **A:** SPE OKC May Monthly  Luncheon is organized by Society of Petroleum Engineers Oklahoma City Section.
- **Q**: Who is this event for? Is it right for me?
  - **A:** SPE OKC May Monthly  Luncheon is ideal for professionals, entrepreneurs, startup founders, and networking enthusiasts eager to grow their connections. Whether you're a first-time attendee or a longtime enthusiast in Oklahoma City, this event is thoughtfully curated to deliver a standout experience worth every moment. If SPE OKC May Monthly  Luncheon sounds like your kind of event, don't wait - spots fill up fast.

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