As the world continues to tackle climate change, leveraging AI has become a crucial factor in achieving large-scale carbon reduction. Boomitra’s AI-driven solutions aim to sequester an additional gigaton of CO2 by 2030, turning agriculture into a carbon sink. Through satellite-powered soil monitoring, farmers generate carbon credits, aiding corporations and governments in achieving sustainability goals while supporting local communities.

In this Energy AI talk, Aadith Moorthy the CEO of Boomitra and The Earthshot Prize winner will discuss how AI enhances ESG management through detailed reporting and actionable insights, enabling organisations to meet sustainability goals while preparing for future environmental challenges, highlighting the critical role of partnerships in driving innovation for climate solutions.

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.