Webinar Title: Machine Learning Methods for Battery Development, Manufacturing and Management
Date: Thursday 12 December 2024
Presenter: Daniel Parr, Technology Analyst at IDTechEx
Space is limited - book your seat today!
This webinar will provide a high-level overview of how machine learning can improve efficiency and solve problems in the battery industry. The aim is to briefly cover what machine learning methods are, how they can be applied and where they will see the most use.
Specifically, this webinar will include:
- An introduction to challenges in the battery industry
- An overview of machine learning and how it can be applied for batteries
- Use-case analysis for five different market sectors
- Business model analysis for the overall market
- Qualitative conclusions on how and where machine learning will see use over the next few years
This webinar shares some of the research from the new IDTechEx report, "AI-Driven Battery Technology 2025-2035: Technology, Innovation and Opportunities".
Register Your Free Place
We will be holding exactly the same webinar three times in one day. Please register for the session most convenient for you.
Date: Thursday 12 December 2024
Duration: Approx. 30 Minutes
Please click here to check timings and register for your specific time zone.
If you are unable to make the date, please register anyway to receive the links to the on-demand recording (available for a limited time) and webinar slides as soon as they are available.
About IDTechEx
IDTechEx provides trusted independent research on emerging technologies and their markets. Since 1999, we have been helping our clients to understand new technologies, their supply chains, market requirements, opportunities and forecasts. For more information, contact research@IDTechEx.com or visit www.IDTechEx.com.
