This is a software system that uses artificial intelligence to help businesses predict and optimize how much resource, like fuel or emissions, their equipment uses or produces. It analyzes historical data from an asset to create a baseline prediction for its expected or optimal resource consumption or output. This helps identify where to make changes to save resources.
Why it matters: Filed in 2024, the rapid advancements in MLOps and cloud-native integration tools since then have significantly lowered the barrier to deploying and automating such complex ML-driven optimization systems at scale.
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