ML cube Platform

ML cube Platform

AI Technology MODEL DRIFT MODEL MONITORING MODEL PERFORMANCE MANAGEMENT

A UNIQUE AND "DISRUPTIVE" PROPOSITION

It is a B2B product for real-time life cycle optimization of Machine Learning models, in order to prevent obsolescence.

1. Online Performance Monitoring: observes, informs and, in the event of anomalous deviations, also generates alerts in asynchronous mode.

2. Automatic Retrain Triggering: creates its own meta-model of the observed performance level. With Reinforcement Learning and Transfer Learning, it recommends the optimal moment for re-training.

3. Cost Model Management: knowledge of the cost model, risk, time and cost estimates and KPIs of business relevance.

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