Cambridge EnerTech’s

Battery Intelligence

Using Machine Learning and Artificial Intelligence to Optimize Battery Development from Materials to Manufacturing

15-16 MAY 2024

As the battery market undergoes rapid expansion, the need to optimize the longevity of batteries becomes increasingly evident. For OEMs, battery pack manufacturers, and electric fleet managers, the key to unlocking battery life lies in the data. Core potential of battery data when utilizing machine learning and data analytics methods can accurately determine, predict, and improve battery life. To achieve high battery efficiency and operational reliability, predictive intelligence and data analytics will play key roles as artificial intelligence becomes more disruptive in the battery technology space. The Battery Intelligence conference will bring thought leaders from industry and academia to discuss how organizations can use battery intelligence to improve battery life significantly and continuously.