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Software/AI Summary Efficient battery data management emerges as a key differentiator because it is a hard requirement to enable AI in downstream (software) processes - it turns battery data from a potential liability into a true asset and competitive advantage. Large Language Models enhance every day productivity, Large Quantitative Models (LLMs enhanced by scientific or experimental battery data) enhance scientific rigor and battery experts capabilities - LQMs are available to push battery limits. The battery industry and academic tech stack is wide and complex, each problem has its specific, niche tool to solve it - having a clear overview and understanding on what tools are available and which tools to use for which type of problem enhances speed and builds competitive edge.
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