Case Study
Montag, 10. März
09:00 - 09:25
Live in Frankfurt
Weniger Details
AI is becoming a strong driving force of the energy transition, unraveling optimized processes and next-level operation control. We will share how enterprise data & advanced analytics leverages learning, data analytics, and large language models, to provide in-house, custom designed enterprise solutions.
After completing my PhD in Materials Science from Lille 1 University in 2016, I conducted fundamental research in computational physics and AI (CEA, Lyon 1 University, RUB). In 2022, I joined Siemens Energy Enterprise Data & Advanced Analytics , where I currently work as a member of the AI team. My focus is on pioneering innovative data-based solutions for the energy system by combining AI, Physics, and Statistics.