How to use AI & machine learning to predict battery lifecycles

This webinar is for project leaders of BESS systems, asset managers, owners and operators who want to accurately track and predict battery safety, performance and aging. We will explore how to build a data-driven foundation for BESS asset management using cloud-based battery analytics, how to leverage existing data from battery management systems (BMS) and differentiate the role of the BMS from analytics.
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Attend to learn more about best practices for:
- Safety first: Predicting and preventing fires and downtimes
- Data-driven battery analytics in the cloud
- Identifying underperforming systems and strategies to get assets back on track
- Using battery fitness tracking to improve procurement
- Optimizing operation strategies and conditions to extend asset lifetimes
- Battery data acquisition and cloud storage

[@mechtymc-13adityanarwade15]

12:34

[@mayankv0]

thanks

[@santoshkumarbaratam7257]

Hi, Can I get the link for downloading the slide from this webinar? I really appreciate any help you can provide.