Jill Schlechtweg

EY Sustainability Lead – Strategy and Transactions in EMEIA

Jill is the Director for Sustainability Solutions in Strategy and Transactions for EMEIA, specializing in energy transition strategies and Net Zero transformation across energy, natural resources, and other hard-to-abate sectors. Previously, she served as a Project Leader at Boston Consulting Group (BCG) in London, focusing on Corporate Finance & Strategy and Climate & Sustainability, and was seconded to the World Wide Fund for Nature (WWF), supporting the Science Based Targets Network. Earlier in their career, Jill worked as a Deepwater Completion and Well Intervention Engineer in the Gulf of Mexico and as a performance and planning consultant at Shell’s headquarters in the Netherlands. She holds an MBA from London Business School and a BSc in Mechanical Engineering from the University of Michigan.

Session Overview

Monday, 4 November

14:00

Energy ai Conference Energy AI Theatre 14:00 - 14:30

View Session

Energy AI Talk: Unlocking value in energy and industry through AI

AI is transforming industries, from environmental monitoring to energy efficiency and security. In energy and heavy industries, drones, cameras, and satellites generate vast amounts of visual data, creating a bottleneck in processing and analysis. Traditionally reliant on labor-intensive methods, AI now enables more accurate insights for environmental monitoring paving the way for smarter, more sustainable practices across sectors.

There is an urgent need to double the pace of global energy efficiency improvements to meet climate goals and remain competitive in a world rapidly transitioning to cleaner energy. In the energy sector, AI is optimising systems to reduce energy waste, conserve resources, and lower operational cost—savings that can be passed on to consumers and invested in further innovation.

In this Energy AI Talk, Reza Zadeh, CEO, Matroid, will showcase compelling case studies that highlight the positive impact of visual analytics on operational efficiency and safety in the energy sector, illustrating how AI enhances infrastructure monitoring, detects anomalies, and optimises resource management.