The energy sector is under pressure as global electricity demand grows 3–4% annually, driven by data centres, AI infrastructure, and electrification. At the same time, the AI in energy market is projected to grow from $21 billion in 2026 to more than $75 billion by 2034, as organisations use data and AI to improve reliability, decarbonisation, and cost.
Many organisations still struggle to scale AI because data is fragmented across grid, generation, trading, customer, and asset systems. Databricks helps unify these data sources on an open lakehouse, creating a single governed foundation for use cases such as load forecasting, outage prediction, grid-edge analytics, and asset performance management. With Genie, engineers, traders, and business users can interact with this data conversationally and build AI agents without code, while packaged accelerators for digital twins, smart meter analytics, and predictive maintenance help organisations move quickly from pilots to production.
Register for this Energy Industry Forum to hear from leading data and AI leaders on:
- How the industry is using data and AI to modernise the grid, optimise generation, and accelerate the energy transition
- Customer success stories from Indra Renewable Technologies and E.ON on how they are scaling AI from pilots to production
- Live demos showcasing practical applications of AI on the Databricks Data Intelligence Platform, including energy theft detection and prevention
You will walk away with concrete strategies to unify operational and enterprise data, scale AI safely, and turn data and AI investments into measurable improvements in reliability, efficiency, and sustainability.