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Reinventing energy with generative AI

Discover how the energy and utilities industry can benefit from the power of generative AI

Watch the 2024 AWS Energy Symposium on-demand

With more than 40 presentations, featuring customers and partners across the energy and utility industry, there was plenty of insightful content at the recent Energy Symposium event in Houston. Now you can watch many of the sessions on-demand and learn about the latest cloud trends in the industry.
A woman conducting inventory management in a small business setting, examining products and using a tablet in a storeroom environment.

Why is generative AI important for the industry?

For energy and utilities, generative AI has the potential in playing a pivotal role by helping companies with:

Generative AI simplifies complex energy and utility workflows by enabling AI assistants to optimize processes, simulate operations, diagnose issues in real-time, ensure supply chain traceability, and provide immediate technical support through conversational agents, driving increased efficiency, reduced costs, and minimized downtime.
AWS generative AI solutions drive efficiency and integration for energy companies, enabling a holistic view across operations to accurately measure emissions and optimize processes. This unified approach, merging data and operations through AI, accelerates the energy transition and fosters sustainability and operational excellence.
AWS, with its vast partner network, industry expertise, and programs like the Clean Energy Accelerator, is collaborating to build solutions that drive rapid adoption of advanced technologies like generative AI. This enables scaling promising clean energy technologies more efficiently, meeting energy demands while accelerating the sector's transition.

How AWS is powering efficiency and smarter insights

TotalEnergies

An office environment with multiple monitors displaying data, charts, and dashboards, with a person working at a desk. Generative AI revolutionizes TotalEnergies' energy trading with real-time insights and streamlined reconciliation, helping reduce errors and minimize financial risk.

Enverus

A close-up image of a hand interacting with a digital touchscreen displaying analytic data visualizations and graphs, symbolizing AI, machine learning, and artificial intelligence analysis. Enverus Instant Analyst harnesses generative AI on AWS to deliver rapid insights from decades of proprietary energy research.

Enel

A person using a smartphone and a headset at a desk with a laptop, overlaid with digital icons representing communication, support, and digital services, symbolizing a modern digital service desk environment. Enel accelerates IT service desk resolution time to minutes with generative AI solution integrated with ServiceNow.

Brainbox AI

A light bulb filled with coins next to stacked coins with a plant growing from them, symbolizing energy savings and sustainability. BrainBox AI uses AWS to slash energy costs and emissions with autonomous building solutions powered by Amazon Bedrock.

Reinventing energy: generative AI

In this ebook, we look at how generative AI on AWS is helping reinvent the energy and utilities industry by increasing operational efficiencies, reducing health & safety exposure, enhancing the customer experience, and helping minimize emissions. Download the ebook today to learn about the generative AI services at AWS and how you can get started with this cutting-edge technology.
AWS promotional graphic for energy and utilities featuring generative artificial intelligence. Visual shows the text 'Generative artificial intelligence' with a purple and red abstract digital pattern background.

Enabling energy and utility companies with generative AI

Data-driven operational excellence

A worker wearing safety gear monitors multiple screens displaying industrial control systems and data in a modern control room. Generative AI offers the energy, chemical, and materials sectors opportunities for significant value creation through enhanced data utilization, process automation, and operational efficiency improvements.

Managing grid complexity in the energy transition

A renewable energy field with wind turbines and rows of solar panels under a blue sky with scattered clouds. As energy demand and grid complexity increase with the transition to renewable sources, generative AI can help manage smart grids, optimize supply/demand predictions, and prevent grid failures through improved reliability and security.

Reimagining customer engagement

Customer service representatives wearing headsets working at desktop computers in a call center environment. By integrating generative AI, energy companies can reimagine the customer experience through conversational AI assistants, optimized product/service design, and more engaging interactive experiences.

Learn more about the power of generative AI

Assorted geometric shapes casting multicolored shadows on a surface with abstract lighting. Represents concepts in artificial intelligence, machine learning, and data modeling.

Customize large language models with oil and gas terminology using Amazon Bedrock [Blog]

A group of five diverse coworkers collaborating around a desk with laptops in a bright, modern office environment.

Driving Outcomes for Capital Projects in the Energy Industry using Generative AI [Blog]

The State of Generative AI