AI is set to transform every stage of the energy value chain—from exploration and production to distribution. In this session, Dr. Mike will discuss how AIQ, in partnership with Inception, is pioneering the development and application of proprietary AI solutions to optimise operations.

Focusing on state-of-the-art advancements in agentic AI, generative AI (genAI), and machine learning, he will share examples of how advanced multi-modal insights, and AI-assisted automation is helping to boost efficiency, enhance safety, maximise sustainability, and reduce costs in the Energy sector.

AI has and will continue to revolutionise the energy sector, driving digitalisation and predictive capabilities. To maximise the increased efficiency and productivity AI and machine learning can deliver, open technology standards that foster greater data interoperability will be essential to overcome many of the cybersecurity and data management concerns. Organisations like the Trusted Energy Interoperability Alliance (TEIA) - which aims to create standards and agreed-upon formats and protocols for secure and interoperable data communications within the energy system—and the Open AI Energy Initiative (OAI) - an open ecosystem of AI-based solutions for the energy and process industries - are working toward this. To mitigate risks, businesses must standardise security formats, and compliance requirements for energy hardware and software, and develop internal AI specialists to deliver transformation at scale.

Attendee insights:

In this Action session, gain exclusive insights into the standards being developed by the TEIA and OAI and how they can be implemented by businesses to achieve an interoperable and trusted energy ecosystem.