Cambridge EnerTech's

Battery Intelligence

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

December 10 - 11, 2025 ALL TIMES PST

 

 

As the battery market continues its rapid growth, extending battery longevity has become a top priority. For OEMs, battery pack manufacturers, and electric fleet operators, the path to longer-lasting batteries lies in data-driven insights. By harnessing machine learning and advanced analytics, organizations can unlock the full potential of battery data, enabling precise performance predictions, real-time health monitoring, and continuous optimization. With AI emerging as a transformative force in battery technology, predictive intelligence and data analytics are set to play a central role in boosting efficiency, reliability, and lifespan. The Battery Intelligence conference will bring together leading voices from industry and academia to explore how data-driven strategies are shaping the future of battery performance and innovation.






For more details on the conference, please contact:

Victoria Mosolgo

Conference Producer

Cambridge EnerTech

Phone: (+1) 774-571-2999

Email: vmosolgo@cambridgeenertech.com

 

For partnering and sponsorship information, please contact:

 

Companies A-K

Sherry Johnson

Lead Business Development Manager

Cambridge EnerTech

Phone: (+1) 781-972-1359

Email: sjohnson@cambridgeenertech.com

 

Companies L-Z

Rod Eymael

Senior Business Development Manager

Cambridge EnerTech

Phone: (+1) 781-247-6286

Email: reymael@cambridgeenertech.com


Register

Battery Chemistries for Automotive Applications - Part 1
Battery Chemistries for Automotive Applications - Part 2