Battery Intelligence Podcast
Battery Intelligence Podcast
Brad Newton, Lawrence Harvey
Welcome to the Battery Intelligence Podcast, hosted by Brad Newton from Lawrence Harvey. Join us as we explore Battery AI, discussing topics like integrating data analytics for EV performance, AI and ML in experimental facilities, and machine learning-based lifetime prediction. Discover advancements in charging optimization, uncertainty-aware algorithms, and physics-informed ML for fault feature extraction. We aim to provide reliable insights into electric vehicle health, safety, and performance. Subscribe for thought-provoking discussions at the intersection of AI, ML, and battery technology,
How Data Analytics fits into the Battery Lifecycle with Eli Leland, Co-founder of Voltaiq
Join us as we dive deep into the world of battery intelligence with our special guest, Eli Leland, Co-founder of Voltaiq, the industry's pioneering Battery Intelligence platform. 👤 About the Episode: Ever wondered how data analytics seamlessly integrates into the battery lifecycle? In this episode, Eli Leland shares his insights, drawing on his extensive experience as a trailblazer in the Battery Intelligence market. Discover the origins of Voltaiq and the vision behind creating a platform that has become integral for global OEMs in automotive and consumer electronics, battery cell suppliers, national labs, universities, and innovative startups. 🔍 About the Guest: Eli Leland, the co-founder of Voltaiq, has been instrumental in shaping the Battery Intelligence landscape. Explore the journey of Voltaiq, a software analytics platform revolutionizing how we understand and optimize batteries and battery-powered products. With a clientele ranging from major OEMs to cutting-edge startups, Eli brings a wealth of knowledge to the table, providing invaluable insights into the rapidly evolving field of battery technology. 🎧 Tune in now for an enlightening conversation at the intersection of data analytics and the fascinating world of batteries! ⚡🔊
Jan 29, 2024
37 min