Scalable GenAI & Data Strategies with AWS & MongoDB
Join MongoDB and Amazon Web Services (AWS) in Houston for a full day of enablement, customer stories, and hands-on collaboration—purpose-built for energy and utilities organizations. We will showcase how joint customers are modernizing their data platforms to drive innovation. Hear from subject-matter experts on real-world success stories, scalable architectures, and practical applications of generative AI (gen AI) across upstream, midstream, and downstream operations.
Amazon Web Services
818 Town and Country Ln, Ste 1000
Houston, TX 77024
Request your place
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What attendees will take back to their teams
Modernize Energy Data
Discover how a flexible document model and native Vector Search handle mission-critical workloads across upstream, midstream, and downstream operations.
Gen AI from Strategy to Execution
Transition from theory to practice with AWS experts sharing real-world GenAI applications that optimize energy operations and accelerate decision-making.
Real-World Customer Innovation
Hear from leading energy organizations and system integrators on how they leverage MongoDB on AWS to build scalable, secure, and high-performance architectures.
Interactive Innovation & Design
Engage in hands-on Gen AI workshops and schedule a private schema design reviews to iterate on your data models and solve your team’s specific technical challenges. Request your complimentary Design Review in the registration form.
A full day of workshops, architecture, and peer exchange
The agenda sits below the hero and form section so the registration experience stays front and center, while still giving visitors a clear view of the day.
Registration & Networking Breakfast
Check in and connect with peers across the Energy ecosystem before we kick off the day.
Hands-On Gen AI Workshop with AWS & MongoDB
Build and Deploy: Construct a functional gen AI prototype specifically for energy use cases using MongoDB Atlas Vector Search and AWS services.
Led by Abhi Chakraborty and Sohail Shaikh, MongoDB
Networking Lunch
Fuel up and exchange ideas with fellow attendees during a lunch hosted by AWS.
Virtual Design Reviews
Private, 1-on-1 consultations to whiteboard your specific architecture and scaling challenges. Request your session in the event registration form.
MongoDB: Built for Energy at Scale
Learn how MongoDB’s document model and native vector search power mission-critical workloads from the edge to the cloud.
Presented by: Robert Jones, MongoDB
Beyond the Sandbox: Engineering Production-Grade GenAI for Energy
Join AWS to move past the hype and into the architectural blueprints of the modern energy enterprise. We will dissect the transition from experimental LLMs to integrated “Agentic Workflows” that automate seismic analysis, optimize grid resilience, and transform decades of unstructured technical debt into real-time operational intelligence.
Presented by: Kumar Lakshmipathi, AWS
Customer Spotlight: Scaling with Corva
Hear how Corva leverages MongoDB on AWS to drive performance and deliver measurable outcomes for energy-specific applications.
Presented by: Jeff Jensen, Corva
Coffee Break
First Mile to Digital Transformation: Building Reliable Edge Data Foundation
Modernization efforts like OSDU and AI often stall due to unreliable data transmission from remote sites with intermittent connectivity. gravity9 addresses this “first mile” challenge by demonstrating how the Medallion Traffic Control Framework, built on MongoDB and AWS, ensures system stability and data integrity. Attendees will learn how to efficiently prioritize data and manage bandwidth constraints to fuel downstream AI and operational platforms reliably.
Presented by Mike Huynh and Shuler Mehaffey, gravity9
AWS + MongoDB: Better Together for Energy
Deep dive into reference architectures for mission-critical workloads, from field ingestion to cloud-scale AI.
Presented by Abhi Chakraborty, MongoDB
Closing Remarks & Key Takeaways
Final insights, actionable next steps, and exclusive resources.
Happy Hour
Unwind with peers over drinks and light refreshments.