Supported by

Magzhan Kenesbai

Acting Managing Director

AIQ

Aiq
Aiq
Session Overview
Tuesday, 5 November
14:00
14:00 - 15:00
The power of AI for the energy transition

AI is contributing to the transformation of the energy sector through its utilisation of large data sets. According to BNEF’s net-zero scenario modeling “every 1% of additional efficiency in demand creates $1.3 trillion in value between 2020 and 2050 due to reduced investment needs”, with AI set to help achieve this by enabling greater energy efficiency and flexible demand. Machine learning, deep learning and generative AI are improving operations effectiveness, providing insights for lowering emissions, anticipating mechanical and supply chain malfunctions and driving substantial energy efficiency gains. However, scaling AI from successful pilots to broad implementation brings its own challenges. AI uptake and the use of associated high energy demand data centres - which are growing globally in number by the day (200TWh power is needed to meet global data centers demand according to Goldman Sachs) - are on track to outpace the power available to run them. What will be needed, both in the AI application and securing access to new energy supplies, to deliver on the promise of AI and its contribution to the energy transition?

Attendee insights:

Understand how AI is transforming business operations, its opportunities and challenges related to data centers and energy consumption needs.

Monday, 4 November
15:00
15:00 - 15:15
Innovation showcase: The role of AI in transforming the energy sector

In this talk, we’ll explore how advanced AI technologies—particularly Generative AI (GenAI) and other AI models—are enabling Energy companies to transform, drive efficiency, and unlock new value while meeting global climate targets and the growing demand for Energy.

This session will also shine a light on some of the key challenges faced during this transformation—from scaling AI effectively across diverse operational landscapes to ensuring data integrity and security. Highlighting specific use cases, it will detail how recent developments in AI are not only optimising production and operational workflows but are also revolutionising the entire energy value chain.

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