AI in Energy Week Day One - March 2, 2027
7:00 am - 7:55 am
Registration and Networking Breakfast
7:55 am - 8:00 am
Welcome from the Event Director & Chair’s Opening Remarks
8:00 am - 8:10 am
Grand Opening of AI in Energy Week: Benchmarking of the Current State of AI in Energy Operations
Erin Boyd -
Chief Digital Strategy and AI Officer,
AES
Through a live audience poll, attendees will benchmark their AI maturity against industry peers, exploring adoption levels, investment priorities, deployment progress and the biggest challenges facing energy organizations today, setting the scene for the conversations and
8:10 am - 8:40 am
Executive Panel Discussion: From Pilot to Profit: Turning AI into Business Value
John A. Shannon -
Vice President, Data Science and Insights,
Capital Power
Brian Jones - Chief Digital & Information Officer, California Resources Corporation
Sarah Karthigan - Vice President of Artificial Intelligence, Weatherford International
Shyam Perugupalli - Chief Information Officer, Strata Clean Energy
The energy industry is entering a new phase of AI adoption where success is measured not by the number of pilots launched, but by the value delivered.
As organizations look to industrialize AI across their operations, leaders face critical questions around where to invest, which use cases create the greatest impact, and how ROI should be measured.
This keynote panel explores lessons from scaling AI beyond individual deployments, including how to prioritize high-value opportunities, build repeatable value creation frameworks, track meaningful business outcomes, and translate AI investment into measurable operational and financial results.
8:40 am - 9:10 am
Opening Keynote: From AI Investment to Enterprise Value: How Permian Resources are Creating Value from 130 AI Use Cases
Luke Fangman -
Head of AI,
Permian Resources
Having spent years at Microsoft seeing how some of the world's largest energy companies approach AI, Luke Fangman is now sitting on the other side of the table, responsible for executing AI strategy from inside Permian Resources. Permian Resources operates approximately 535,000 net leasehold acres across the Permian Basin and produced an average 376,400 BOE per day in Q2 2026.
With 130 AI use cases targeted over the next two years, the challenge is not identifying where AI could be applied, but determining where it will create the greatest business value. Drawing on his unique perspective from technology provider to energy operator, Luke Fangman will share the AI value framework Permian Resources is using to evaluate investments, distinguish tangible financial returns from productivity gains, and give executive leadership greater visibility into what is working, what should scale and where investment should go next.
Luke will share how Permian Resources are:
• Prioritizing 130 AI opportunities and identifying where AI can create the greatest value across acquiring, planning, developing and operating assets
• Putting a value against AI by separating tangible cost reductions and revenue opportunities from productivity gains and other less-direct benefits
• Creating a consistent AI value framework, tracking investment and returns to determine what should scale, where further investment is justified and when an initiative is not delivering enough value
9:10 am - 9:40 am
Scaling AI Across Energy Operations from Proof of Concept to Business Value
Learn how to move beyond isolated AI initiatives and unlock value at scale. This session explores practical strategies for accelerating adoption, prioritizing high-impact use cases, and transforming AI investments into measurable operational and business results
9:40 am - 10:10 am
Opening Fireside Chat: Building an AI-Ready Enterprise: Turning Trusted Data into Scalable Value
Ibrahim Itani -
Vice President, Head of Data, Analytics & AI,
Marathon Petroleum Corporation
Operating the largest refining system in the United States, with 13 refineries and approximately 3 million barrels per day of refining capacity, Marathon Petroleum is building the data and AI foundations needed to drive value across a complex industrial enterprise. In this opening fireside chat, Ibrahim Itani, Vice President, Head of Data, Analytics & AI, will explore how trusted data products, clear ownership, governance and scalable AI capabilities can enable faster decision-making and measurable business outcomes, while preparing the enterprise for the next generation of GenAI and agentic systems.
10:10 am - 10:40 am
Networking Break
Asset Intelligence
10:40 am - 11:10 am Panel Discussion: Predictive by Design: Improving Reliability Through AI-Powered Predictive Maintenance Mac Choudhary - Operations & EAM Leader (O&M), Devon EnergyPrasenjit Shil - Manager, Ameren Innovation, Ameren
Upendra Pandey - Senior Director, Data & AI, Delek US
As AI capabilities mature, asset-intensive industries are beginning to explore how intelligent systems can move beyond predicting failures to actively guiding and executing maintenance decisions.
This panel will examine the progress toward autonomous maintenance, including AI-enabled inspection, maintenance planning, and decision support. Join industry leaders as they discuss how to build trust in AI recommendations, overcome operational barriers to adoption, and define what the maintenance organization of the future could look like.
Workforce Intelligence
10:40 am - 11:10 am Panel Discussion: The Connected Worker 2.0: How AI is Transforming Frontline Operations Scott Campbell - Operations AI, Engineering Lead, Continental ResourcesSonma Agatha-Christy Okoro - Vice President, Business Analytics & Digital Operations, RWE
Mark Bohn - Senior Director, Innovation, Boardwalk Pipelines
As AI becomes increasingly embedded across industrial operations, the role of the frontline worker is rapidly evolving.
This panel will explore how AI-powered tools, copilots, and connected worker technologies are enhancing decision-making, productivity, and safety on the frontline. Hear how organizations are driving workforce adoption, building trust in AI-generated insights, and managing the cultural change required to create effective human-AI collaboration at scale.
Operational Intelligence
10:40 am - 11:10 am Panel Discussion: Creating Value Through AI Driven Decision Making Partha Chatterjee - Director, Energy, Data and AI, MRE ConsultingArundhati Biswas - Senior Director, IT Strategy and Business Operations, National Grid
As AI becomes increasingly embedded into operational workflows, organizations must determine where AI can enhance decision-making and where human judgment remains essential.
This panel explores how leading energy companies are using AI to support planning, forecasting and operational decisions, while building trust in outputs, measuring business value and creating compelling investment cases for future AI initiatives.
11:10 am - 11:40 am
Self-Leaning Asset Intelligence with Digital Twins and Physics Based AI
Learn how operators are combining digital twins, real-time operational data and physics-based AI to improve asset performance, optimize maintenance strategies and move closer to self-learning operations.
You'll gain insights into how these technologies are helping reduce downtime, improve reliability and support better decision-making.
11:10 am - 11:40 am
Building the AI Powered Frontline Worker
Discover how leading organizations are equipping frontline teams with AI-powered assistants, operational knowledge tools and real-time decision support to improve productivity, safety and workforce effectiveness.
You'll learn how AI is helping workers spend less time searching for information and more time executing critical tasks.
11:10 am - 11:40 am
Decision Intelligence for Energy Operations: Moving Beyond Dashboards to AI-Powered Recommendations
As organizations seek faster and better operational decisions, AI is moving beyond reporting and visualization into recommendation and decision support.
You'll learn how leading operators are using AI to turn operational data into actionable insights that improve planning, maintenance, scheduling and day-to-day operational performance.
11:40 am - 12:10 pm
Case Study: Trusted Data, Trusted AI: How Devon Energy Is Building Confidence in Data Among Frontline Workers
Mac Choudhary -
Operations & EAM Leader (O&M),
Devon Energy
How do you get frontline workers to trust the data they're being asked to capture? At Devon Energy, where teams operate more than 7,700 wells across 2.4 million acres, producing over 500,000 barrels of oil per day, trusted field data is critical to safe and efficient operations.
In this session, Devon will share lessons from deploying field automation at scale, including how ai-augmented workflows can give technicians the context they need at the point of work while feeding accurate, structured data directly into enterprise asset management systems. Explore what it takes to move from data collection to trusted, actionable field intelligence and:
• Close the loop from raw data to applied intelligence that optimizes workflows and gets in front of asset trends
• Connect frontline workflows with EAM and enterprise systems
• Use field automation to improve data quality without adding administrative burden
• Turn frontline data into actionable insights for asset performance and maintenance
• Drive adoption by making data contextual, useful, and easy to use
• Enable AI-ready data, better execution, safer technicians, and healthier assets
11:40 am - 12:10 pm
Case Study: Building AI-Powered Troubleshooting Guides: How EDF Renewables Captures Expertise and Scales Knowledge Across 450 Field Technicians
Chuck Kellen -
Director of Continuous Improvement,
EDF Power Solutions
As organizations face growing pressure to maintain asset performance while managing workforce shortages, changing technologies and the loss of experienced personnel. This session explores how EDF used AI to transform years of maintenance history, troubleshooting knowledge and operational expertise into scalable troubleshooting guides for more than 450 field technicians. Learn how the team dramatically reduced development effort, accelerated knowledge creation and built a foundation for AI-enabled frontline support, while maintaining the human oversight required in safety-critical environments.
• Using AI to transform historical maintenance data into troubleshooting guides
• Capturing operational expertise before it leaves the workforce
• Supporting 450+ field technicians across wind and solar operations
• Balancing AI automation with human review and validation
• Why AI does not need to be perfect to deliver measurable business value
11:40 am - 12:10 pm
Case Study: Delivering Measurable Business Value Across Supply Chain and Operations
Alice Hilson -
Senior Director, Digital Innovation and Enterprise Technology,
DuPont
Operating across a multi-billion-dollar global business, DuPont is applying AI across supply chain, inventory, forecasting and operational planning to target measurable business outcomes. This session explores how the organization is identifying high-value opportunities, embedding AI-enabled decision support into complex operational processes and moving beyond pilots to scalable enterprise impact.
• How DuPont identified and prioritized high-value AI use cases across supply chain, inventory management, forecasting, and operational planning, focusing on initiatives that delivered measurable ROI, reduced costs, and accelerated business outcomes
• Driving operational excellence through AI-enabled decision support, including inventory optimization, production forecasting, scheduling, maintenance planning, and resource allocation to improve customer service, increase responsiveness, and enhance operational performance
• Scaling beyond pilots to enterprise-wide impact, exploring the governance, workforce transformation, and change management strategies required to embed AI successfully within complex, highly regulated environments while continuously adapting to rapid technological change
12:10 pm - 1:10 pm
Networking Lunch
Technology in Action Tracks
Track A - Technology In Action
1:10 pm - 1:40 pm Building Asset Intelligence: Combining AI, Drones & Real-Time Data to Improve Risk Visibility and Decision-Making Marcus Johansson - Director, Senior Executive, Wildfire Mitigation, Risk and Analytics, American Electric PowerWith nearly 5.5 million customers, more than 223,000 miles of distribution lines and the nation's largest electricity transmission system, managing asset risk across American Electric Power's (AEP) network requires visibility at enormous scale. In this session, AEP will share how it is combining AI-enabled inspections, drones, intelligent sensors, advanced forecasting and real-time data as part of its wildfire mitigation program to identify risks earlier, prioritize interventions and support more informed asset investment decisions.
• Using AI and computer vision to automate inspection and defect identification
• Combining drone, sensor and operational data to improve asset visibility
• Applying AI-driven forecasting and analytics to support risk-based decision-making
• Prioritizing maintenance, remediation and infrastructure investments
• Building a data foundation for advanced asset intelligence
• Lessons learned deploying AI-enabled asset monitoring technologies at scale
Marcus Johansson
Director, Senior Executive, Wildfire Mitigation, Risk and AnalyticsAmerican Electric Power
Track B - Technology In Action
1:10 pm - 1:40 pm Putting AI to Work on the Rig: Machine Learning for Equipment Reliability & Drilling Performance Anil Godumagadda - Vice President, Digital Solutions, Patterson-UTIWith nearly 90 rigs and more than 6,000 sub-second data points captured across four rig types and control systems, Patterson-UTI Drilling Company has built the digital foundation to deploy AI directly into drilling operations. This session goes beyond the architecture to explore how machine learning is being applied to equipment usage, asset maintenance and drilling performance, helping improve reliability, reduce downtime and unlock greater operational efficiency across the fleet.
This case study will explore how Patterson-UTI:
• Moves ML from cloud to rig: training models in the cloud and deploying them at the edge to analyse equipment performance and deliver real-time operational guidance.
• Uses AI to improve reliability and efficiency: identifying unnecessary fuel consumption, monitoring critical parameters and detecting leading indicators of equipment failure before downtime occurs.
• Learns from what doesn't work: sharing lessons from early ML deployments, including a model that contributed to a rig blackout, and how those experiences have shaped a more reliable approach to deploying AI in live drilling environments.
Track C - Technology In Action
1:10 pm - 1:40 pm Arizona Public Service Grid Explorer: Connecting Data, AI and Operations to Build the Next Generation of Operational Intelligence Soma King - Manager, Digital Innovation, Arizona Public ServiceAs Arizona's largest energy provider, APS serves approximately 1.4 million customers across a grid spanning more than 38,000 miles of power lines. With customer demand continuing to grow, APS recorded an all-time peak of 9,053 MW in July 2026, reinforcing the need for greater visibility and intelligence across the distribution network.
In this session, APS will share how its Grid Explorer platform brings together high-frequency operational data, SCADA measurements and asset-level data to create a more unified view of the network. The session will explore how AI and machine learning can help identify anomalies, better understand system behaviour and anticipate future operational and infrastructure needs.
• How to bring together SCADA, sensor and asset data to create a more complete operational view
• Applying AI and machine learning to identify anomalies and emerging operational issues
• Improving asset visibility, forecasting and data-driven decision-making
• Using operational intelligence to anticipate changing demand and future infrastructure requirements
1:40 pm - 2:10 pm
Industrial Robotics & Autonomous Inspection Technologies
Discover how robotics, drones, and autonomous inspection technologies can improve asset reliability, enhance workforce safety, and enable more efficient operations in remote and hazardous environments.
1:40 pm - 2:10 pm
Operational Knowledge Retrieval in Action with Enterprise Search & RAG
Learn how enterprise search, RAG, and AI-powered knowledge assistants can connect siloed information, deliver faster answers, and put critical operational knowledge at employees' fingertips.
1:40 pm - 2:10 pm
Agent to Agent Interactions & Self Learning Systems
Explore how autonomous AI agents can collaborate, execute tasks, and automate complex workflows to improve efficiency, scalability, and operational performance.
2:10 pm - 2:40 pm
Computer Vision for Workforce Safety & PPE Compliance
See how computer vision and AI-powered monitoring can strengthen safety performance through real-time risk detection, PPE compliance, and proactive incident prevention.
2:10 pm - 2:40 pm
Examining the Operational Impact of Voice-Enabled Field Assistants
Discover how voice-enabled copilots can support frontline workers with hands-free access to expertise, troubleshooting guidance, and digital work instructions in the field.
2:10 pm - 2:40 pm
Next Generation Digital Twins: Exploring Cognitive & Autonomous Twins
Learn how cognitive and autonomous digital twins are helping operators optimize assets, simulate scenarios, and enable more intelligent, data-driven decision-making across operations.
2:40 pm - 3:10 pm
Automating Grid Resiliency: Using AI to Optimize Recloser Configuration and Fault Response Across T&D Networks
Srini Nanduri -
Vice President, Head of Data and AI,
PPL Corporation
Serving nearly 1.5 million homes and businesses, PPL Electric operates a network containing nearly 47,000 miles of distribution lines and 1 million poles, creating significant scale and complexity for grid engineering and outage management. This session explores how PPL is using AI to automate elements of transmission and distribution operations, including recloser configuration, fault analysis and engineering decision support, helping teams improve grid resiliency while maintaining human oversight over critical operational decisions.
• Using AI to automate recloser configuration and deployment across distribution networks
• Applying AI to fault detection, root cause analysis and outage response
• Improving grid resiliency through AI-enabled engineering workflows
• Reducing manual engineering effort through agentic AI and automation
• Human-in-the-loop controls for critical grid operations
• Lessons learned deploying AI in regulated utility environments
2:40 pm - 3:10 pm
Deploying AI-Driven Workforce Scheduling & Optimization at Scale at NiSource
Jack Lint -
Director of AI & Analytics,
NiSource
Serving nearly 4 million natural gas and electric customers across six states, NiSource operates field services at a scale where improvements to workforce planning, and resource allocation can have significant operational impact. This session explores how NiSource has embedded AI-powered forecasting and optimization models directly into operational planning workflows, integrating advanced analytics into Salesforce and SAP to reduce manual planning effort, respond faster to changing priorities and allocate field resources more effectively.
• Building and deploying AI forecasting and workforce optimization models
• Integrating AI capabilities into Salesforce and SAP work management systems
• Automating schedule generation and adapting to changing operational priorities
• Embedding analytics into day-to-day operational decision-making
• Lessons learned moving from model development to production deployment
8:00 am - 8:30 am
Governing Agentic AI: Building Trust, Control and Accountability into Autonomous Systems
Eyob Gebremariam -
Senior AI Delivery Manager,
Duke Energy
Serving 8.7 million electric and 1.6 million natural gas customers, Duke Energy operates at a scale where the implications of deploying increasingly autonomous AI systems extend far beyond individual use cases. As organizations move towards AI agents and autonomous workflows, ensuring those systems are trusted, controlled and accountable becomes increasingly critical.
This session explores the foundations required to govern agentic AI at scale, from semantic layers and knowledge graphs to observability, evaluation frameworks and human-in-the-loop controls, while balancing innovation with risk and measurable business value.
• Building governance frameworks for agentic AI and autonomous workflows
• Using semantic layers and knowledge graphs to create trusted AI foundations
• Measuring, monitoring and evaluating agent performance
• Human-in-the-loop controls and risk management
• Creating accountability and observability across AI systems
• Linking AI governance to measurable business value and ROI
3:10 pm - 3:55 pm
Solution Exchange
Step into the Solutions Hall for a fast-paced and interactive session designed to help you discover the technologies and experts implementing AI across Energy Operations. Choose five participating solution providers and spend five focused minutes at each where you'll experience live demos, real-world use cases, and practical strategies you can apply in your own organization. Collect a stamp at each stop to complete your Solution Card for a chance to win incredible prizes, while making meaningful connections with the companies driving innovation across the industry.
3:55 pm - 4:25 pm
Expert Partner Session: The Rise of Agentic AI Moving from Assistants to Autonomous Energy Operations
Discover how agentic AI is enabling autonomous decision-making, workflow orchestration, and intelligent action across energy operations, helping organizations move beyond AI assistants to scalable operational automation.
4:25 pm - 5:00 pm
Lightning Talks
Join us for a dynamic round of innovative technology applications! Each session, lasting 10 minutes, will showcase cutting-edge innovations designed to enhance visibility, productivity, and efficiency. Don't miss this opportunity to explore the latest advancements and see how they can transform your operations.
5:00 pm - 5:30 pm
Panel Discussion: Building an AI-Ready Workforce for the Future
Sandra Guerra -
Vice President & Head of HR North America,
Siemens Energy
Lisa Williams - Senior Director Operations Talent Strategy and Employee Experience, Dow
As AI becomes embedded into day-to-day operations, the biggest challenge is no longer the technology itself, but preparing people to work alongside it. Energy organizations must build workforce trust, develop new skills, rethink ways of working and create cultures that support continuous learning and innovation.
This executive panel explores how leaders are preparing their organizations for an AI-enabled future by attracting and retaining talent, upskilling employees, building AI literacy and ensuring technology enhances human expertise rather than replacing it.
5:30 pm - 6:00 pm
Closing Keynote: The Human Side of AI: Why Adoption, Trust & Change Management Will Determine Success
Sean McCall -
Chief Data Officer,
Oceaneering
AI is no longer limited by technology. Across the energy sector, many organizations have access to the same tools, yet adoption rates and business outcomes vary dramatically. This session explores why some AI initiatives gain traction while others stall, examining how leaders can address workforce concerns, build trust in AI-enabled ways of working and create a clear path from experimentation to lasting business value.
Key Takeaways
• Why technically successful AI projects often fail to achieve adoption
• Addressing employee concerns around workforce change and job security
• Building trust in AI tools, recommendations and decision-making
• Creating a clear narrative around how work will change
• Turning workforce resistance into organizational readiness
6:00 pm - 6:05 pm
Chair’s Closing Remarks
6:05 pm - 7:35 pm
AI in Energy Week Networking Drinks Reception
The Agent's Lounge: License to Network
Your mission, should you choose to accept it: put the AI agents on pause and make some real connections!
After a jam-packed day at AI in Energy Week, step into an evening of classified conversations, covert connections and cocktails worthy of 007. Grab a drink, take on a networking mission and connect with the energy leaders, AI innovators and technology partners shaping what comes next.
No AI Agents, just secret one! A chance to unwind, reconnect, and turn today's introductions into lasting connections.
