Asset reliability is a critical key performance indicator in any asset-driven business. An IBM study revealed that hybrid AI/ML models, combined with generative AI, can enable operational teams to prioritize and reduce serial failures by 25%–50% while increasing site reliability by 10%–15%.

Dow Chemical Company is currently leveraging GenAI capabilities to automatically extract key failure information that enables the analysis of reliability metrics from multiple sources and sites, including both structured and unstructured data.

Featuring exclusive insights from Technical Leaders and Executives at Dow, download the case study to:

• Learn how Gen AI can address operational challenges such as improving data quality and streamlining processes in asset-driven industries
• Understand how Dow is leveraging AI to extract, clean, and analyze maintenance data
• Learn how new AI tools can complement rather than replace existing systems, ensuring continuity while enhancing capabilities and resource optimization
  

An IBM study stated that about 74% of energy and utility companies globally are either implementing or exploring AI, with the majority intending to leverage it to improve operational efficiency. Generative AI (Gen AI) enables the industry to dig deeper into its data and extract valuable insights in a faster, easier, more accessible way.

Ahead of the AI in Energy Summit this past February, we sat down with event speaker Partha Chatterjee, Principal, Data Analysis at Shell to better understand how to improve operational efficiency through AI.

Read as Partha reveals practical strategies and lessons learned for operators looking to leverage Gen AI for real-time decision-making, with a vision for using Gen AI tools to streamline complex workflows.

Key takeaways include:

• Implementing Gen AI in operational settings and how it shapes digital strategies
• Key considerations when training Gen AI in industrial settings
• What ROI to expect from incorporating AI or Gen AI within operations

This case study features industry insights from bp, ASUG and Chevron Phillips Chemical Company. Explore individual perspectives into the strategic deployment of AI, illustrating how organizations can leverage technology to unlock new opportunities, drive sustainable growth, and shape the future of energy operations. Hear insights from:

• Martin R. Gonazelz, Innovation and Technology Principal, bp
• Laura Tibodeau, Global Digital Innovation & Transformation Leader, ASUG
• Ra Inta, Head of Data Science, Chevron Phillips Chemical Company

Download the Case Study today.

Interest in AI is at an all-time high, especially within the energy sector. Many companies are already piloting AI-powered applications to decarbonize operations, improve safety and overall operational efficiency. However, to push into the next frontier of efficiency and sustainability, the industry needs a clear vision and mission on how to harness the true innovative potential of AI and understand how it fits within their current digital strategy.

Ahead of our upcoming AI in Energy Summit in Houston, from June 17-18, we’ve highlighted the top five applications of AI in the energy sector, delving into renewable energy, smart grids and more.

Download our handy fact sheet today.

Discover the sponsorship opportunities available at the 2026 AI in Energy Summit.

Our attendees are looking for solutions to help implement and scale Artificial Intelligence to power intelligent operations and maximize asset performance, in order to enhance production, asset management, sustainability, and drive down operating costs.

Do you have a solution to help our 250+ senior operations, digital, data and AI leaders? We can create a tailored package to ensure you're getting the most out of your investment.

Download your copy of the sponsorship prospectus today for insights into attendee profiles and the opportunities to showcase your solutions.

The AI in Energy Summit welcomed over 150+ senior operations, digital, data and AI leaders from across North America this past February. Returning in 2026, you can now download the sample attendee list and discover who joined us, and who is already confirmed to be joining us at the 2026 AI in Energy Summit.

Featuring a sample of 100+ delegates and over 60+ companies, the sample attendee list is an expanded look at the attendees, and who you could be meeting this February, 2026.

Download your copy now!

The 3rd Annual AI in Energy Summit Event Guide has arrived! Explore the sessions, speakers, and formats designed to help you augment your workforce, maximize asset performance and power intelligent operations.

Every year, the summit brings together 250+ senior operations, digital, data, and AI leaders from utilities, oil and gas, power generation and renewables for three days in Houston. Hear directly from operators who’ve taken AI projects from proof of concept to full deployment and discover what’s actually working in GenAI, ML Ops, Agentic AI, Digital Twins, and real-time decision support.

Join 60+ speakers including leaders from:

• Shyam Perugupalli, Chief Information Officer at Strata Clean Energy
  
• Larry Bekkedahl,  Senior Vice President, Advanced Energy Delivery at Portland General Electric
• John A. Shannon, Vice President, Data Science and Insights at Capital Power
• Arundhati Biswas,  Senior Director, IT Strategy and Business Operations at National Grid
• Patrick Robinson,  Senior Director, Operations Technology and Advanced Process Control at PBF Energy
• Ido Biger, Executive Vice President, Chief Information and Data Officer at Delek US Holding

Download the Event Guide to explore everything new for 2026, including 14 real-world AI development case studies and 10 pratical AI trainings!

”The AI in Energy event at Houston provided an excellent opportunity to discuss how AI is transforming risk management and operational efficiency in the energy sector.” Detect

''What a Great Day at AI in Energy! So many insightful conversations about how AI agents can drive real change in the Energy Industry. It’s inspiring to see innovation in action and discuss the future of intelligent energy solutions!’’ Allganize