Machine learning driven rules engine for dynamic data-driven enterprise application

This invention describes a system for enterprise applications where users can define rules through a special interface with a library of syntax. These rules then trigger various machine learning models, such as classification or regression, to perform specific tasks. The core idea is to use AI to automate and make enterprise tasks more dynamic based on user-defined logic.

Why it matters: Filed before widespread LLM adoption. LLMs could now significantly simplify the rule creation interface and dynamically orchestrate ML models, making the system more powerful and user-friendly than in 2021.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedComplex software logic, ML model integration, UI development

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