Cambridge EnerTech’s
Battery Intelligence
Big Data, Machine Learning, and Artificial Intelligence Optimizing Battery Performance
MARCH 14 - 15, 2024
With the rapid growth of the battery market, optimizing lifetime performance has become a pressing concern. For OEMs, battery pack manufacturers, electric fleet managers, and Electric Vehicle (EV) companies, the key to unlocking the full potential of battery life lies in harnessing data. By employing machine learning and data analytics methods, battery data can be effectively utilized to accurately determine, predict, and enhance battery performance. The pursuit of high battery efficiency and operational reliability necessitates the integration of predictive intelligence and data analytics, especially as artificial intelligence continues to revolutionize battery technology. The upcoming Battery Intelligence conference aims to gather thought leaders from industry and academia to engage in discussions about how organizations can leverage battery intelligence to significantly and continuously improve battery life. Join us at the Battery Intelligence conference as we explore innovative approaches and insights that empower us to capitalize on battery data, driving us closer to a sustainable and efficient energy future.