About the event

This event will bring together industry leaders, policymakers, and researchers to focus on one of the UK’s biggest untapped opportunities: using AI to accelerate Net Zero in the Humber, while ensuring AI itself is developed and deployed in more energy-aware, resource-aware, and Net Zero-aware ways.
 

The Humber is one of the UK’s most important industrial regions and one of its biggest Net Zero opportunities. Home to the nation’s largest port complex and major energy, manufacturing, chemical, healthcare, and logistics sectors, it offers a powerful real-world setting for AI deployment at scale. This event will explore how AI can accelerate decarbonisation across these sectors, while also advancing a second agenda of growing importance: ensuring AI itself is energy-aware, efficient, and aligned with Net Zero goals. Bringing together industry, policymakers, and researchers, the forum will identify practical opportunities, barriers to adoption, and the partnerships needed to position the Humber as a leading region for both AI for Net Zero and Net Zero for AI.
 

For industry, this creates a clear opportunity. The Humber offers a powerful testbed for high-impact AI applications in industrial decarbonisation, logistics optimisation, energy forecasting, carbon monitoring, and infrastructure management. At the same time, it is the right place to shape the next generation of sustainable AI: models, systems, and digital infrastructure that deliver value while reducing energy demand and environmental impact.
 

This forum will explore where AI can drive measurable industrial and environmental gains, what barriers are slowing adoption, and how the Humber can secure the partnerships, investment, and visibility needed to lead in both AI for Net Zero and Net Zero for AI.

Focus Areas:

​​

• AI for carbon capture, storage, monitoring, and verification

• AI-enabled optimisation for energy-intensive industry

• Smart grids, hydrogen systems, and renewable energy forecasting

• AI for ports, logistics, and critical infrastructure

• Environmental monitoring, climate risk, and biodiversity modelling

• Energy-efficient AI models, training, and inference

• Net Zero-aware AI deployment, compute, and digital infrastructure

• Responsible AI for sustainable industrial transformation