Predictive analytics model management using collaborative filtering

This invention describes a computer system that takes in a continuous flow of information from sensors, such as data from a factory. It automatically sorts this incoming data into specific categories or groups. For each group, the system then selects a specialized prediction model, which has been pre-trained for that particular group, to analyze the data and forecast a specific outcome or variable.

Why it matters: Filed before the widespread maturity of MLOps platforms. The claims describe managing multiple specialized predictive models, which is now significantly easier to implement and scale due to advancements in cloud-based machine learning services and model orchestration tools.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, machine learning models, data pipelines

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