2026 AWS Energy Symposium | Agenda

Attendees arrive, pick up badge, and enjoy breakfast before the keynotes begin.

Welcome remarks

Uwem Ukpong

VP, AWS Industries, Sovereign Cloud, and International Expansion 

Michael A. Mustian

President, Supply Chain, ExxonMobil 

Maria Pope 

CEO, PGE​

Joseph Santamaria 

GM, AWS for Energy & Utilities ​

John Pressley

Managing Director, Digital Strategy & Engineering, Duke Energy

A networking intermission for attendees to recharge and connect between sessions.

Session by Anthropic | Platinum sponsor

Jigar Thakkar

VP Agentic AI for Business, AWS

Kumar Lakshmipathi

Head of AI for Energy, AWS

Teams across the energy enterprise — Finance, Legal, Sales, Marketing, Engineering — still lose hours a day context-switching between tools, hunting for information across silos, and manually stitching together workflows. Amazon Quick is a work companion that sits across your existing tools and helps you take action. Jigar Thakkar, VP Agentic AI for Business, shares why we built Amazon Quick as an agentic system rather than another chatbot. Kumar Lakshmipathi, Head of AI for Energy,  walks through what that means for our industry: An AI teammate that works with you whether you're in upstream exploration, midstream operations, downstream refining, or power & utilities. They'll demo real workflows and share where the technology is headed next.

Kerry Person

VP, AWS Data Center Planning & Delivery​

Dr. Atul Arya

Chief Energy Strategist, S&P Global Energy 

Get a firsthand look at the innovations shaping energy's future through a guided tour, with lunch and time to network.

Session by Open AI | Gold Sponsor

Session by SLB | Gold Sponsor

Dawn Constantin
COO, bp Gas & Power Trading Americas 

Bonnie Titone
EVP & Chief Administrative Officer, Duke Energy

Panel Moderator: 

Muge Yurdaer
​Director of Sales EMEA, AWS Energy & Utilities​

Alla Simoneau

Head of Physical AI GTM, AWS Generative AI Innovation Center

David Cristini
Director, AMER & EMEA, Amazon Leo

Energy's most critical assets operate where terrestrial connectivity is unreliable or unavailable. The result: costly blind spots that force reactive decisions based on incomplete operational data. This session explores what changes when Amazon Leo's always-on, secure satellite connectivity meets AWS AI turning those blind spots into real-time intelligence. We'll show how operators can achieve 24/7 AI-powered monitoring of remote wellheads, predictive maintenance across vast utility corridors, and sub-50ms access to centralized GPU infrastructure for offshore seismic interpretation. The era of operating in the dark is over.

A networking intermission for attendees to recharge and connect between sessions.

Sathiya Namasivayam
VP Data, TGS

Jerome Cousin
VP Enterprise IT/CIO, TGS

Sathiya Namasivayam, VP Data, addresses the foundation layer. Operators invest heavily in AI, yet subsurface data remains fragmented across clouds, legacy archives, and proprietary formats. TGS, with AWS, Rubrik, and TapeArk, is transforming 100+ PB of seismic data into a cloud-native intelligence platform—enabling operators to train foundation models, run inference at scale, and build agentic workflows that accelerate exploration decisions. 

Jerome Cousin, VP Enterprise IT/CIO, shows the end-user impact. Scout—a RAG-based agent on Amazon Quick—turns hours of searching fragmented docs into seconds. Serving 305 users across 13 time zones with 98% accuracy, Scout grew organically from 55 to 305 users in two months. Next: proactive operational intelligence with automated issue detection and seismic workflow integration. 

When world-class subsurface data meets intelligent agents, the result is faster decisions, more productive geoscientists, and a smarter energy sector for everyone.

Keith Conley
Director Data and Digital Innovation, TC Energy

TC Energy, operator of 93,700 km of natural gas pipelines across North America, deployed an agentic AI platform using Amazon Bedrock AgentCore to transform pipeline integrity operations. Built in partnership with AWS ProServe, the Pipeline IQ Platform automates technical memo creation, streamlines document management across 5+ million records, and enables intelligent pipeline reporting — delivering millions in annual operational cost savings while reducing workflows from weeks to minutes. 

Paa-Joe Akoto-Ampaw
 Vice President, Gulf of America, Woodside Energy Group

Woodside Energy, Australia's largest independent oil and gas producer, has moved beyond point-in-time AI tools to agentic systems designed to compound learning and improve decisions with every interaction. This session traces that shift in thinking, then dives deep into two production streams built on Amazon Bedrock AgentCore: an Agentic Maintenance Framework that closes the loop between field execution and reliability strategy — targeting $7.5M/year in tool-time savings and $50M over asset life — and a Subsurface Knowledge Platform that converts fragmented well and reservoir data into trusted, evidence-backed decisions, accelerating tie-back evaluations and unlocking new revenue.

Matt Welsh
CIO, X-Energy

X-Energy is redefining what a nuclear energy company looks like. In this session, learn how X-Energy transformed from a traditional startup into a cloud-native, AI-enabled organization through its comprehensive partnership with AWS. Discover how AI accelerates regulatory filings—generating 800 pages in days instead of months—while cloud-based HPC scales to 10,000 nodes, slashing analysis timelines. Explore how adopting Amazon's operational principles and modern CI/CD practices enabled 3 people to do the work of 60. Walk away with a blueprint for leveraging cloud and AI to outpace legacy competitors in regulated industries.

Annapurneswar Putrevu
Technology Leader, Bloom Energy

Surging electricity demand from AI data centers and industrial electrification is driving Bloom Energy toward doubling annual production capacity by end of 2026. Scaling this aggressively without proportional headcount growth requires manufacturing intelligence that connects planning to execution in real time.  Bloom leveraged Amazon Quick to unify multiple manufacturing data sources into a single decision layer, delivering planning insights that enable agile capacity scaling. This session covers how Bloom connected disparate production systems, the insights driving operational decisions, and how data-driven manufacturing planning supports explosive growth without proportional complexity.

Erwann Lemenager
Global Head Supply Chain Digital, Network, and Analytics, ExxonMobil

Large enterprises manage billions in spend across thousands of vendors, governed by complex contracts and massive volumes of unstructured invoices. Manually extracting, reconciling, and validating this data is error-prone, slow, and costly — leading to value leakage and limited spend visibility. SPINet, powered by Amazon Bedrock, Anthropic's AI models, and Amazon Quick, solves this at scale for ExxonMobil by intelligently extracting structured data from unstructured contracts and invoices enabling automated spend reconciliation, accurate cost benchmarking, and proactive leakage prevention. This session shares how AI-driven document intelligence is transforming enterprise spend management.