DYNAMIC ARTIFICIAL INTELLIGENCE/MACHINE LEARNING MODEL UPDATE, OR RETRAIN AND UPDATE, IN DIGITAL PROCESSES AT RUNTIME

摘要

Dynamically updating, or retraining and updating an artificial intelligence (AI)/machine learning (ML) model in a digital process at runtime. AI/ML model updates or retraining and updating may not require production operations to be disrupted. The step of updating and/or retraining the AI/ML model may be included as part of the digital process. AI/ML model updates can be from internal logic (eg, from evaluation of conditions, by expressions that call AI/ML models, etc.), from external requests (eg, in a finite state machine (FSM)). may be requested from external triggers, such as file changes, database data, service calls, etc.), or both. AI/ML model updates or automation of retraining and updating may be provided, wherein the software retrains and/or updates AI/ML models after (and possibly shortly after) the AI/ML models become available. are reloaded/reinitialized/reinstantiated using