Using artificial intelligence to select and chain models for robotic process automation

An AI system observes how different machine learning models or combinations of models perform when used by robotic process automation (RPA) robots. It then automatically identifies the best-performing models or sequences and updates the RPA robot's instructions to use them. The claims specifically describe this process for machine learning models within RPA workflows.

Why it matters: The rapid advancement of AI orchestration platforms and more capable machine learning models since 2021 makes dynamic model chaining more feasible. This enables more sophisticated automation of model selection and deployment within RPA systems.

Status: Not in forceListed as no longer active.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

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