The C3 AI Suite provides data scientists and developers with an end-to-end ML Ops workflow to rapidly develop, test, and operationalize AI / ML algorithms across the enterprise. Data scientists and developers can promote trained models to production with ease, scale-out up to millions of ML model deployments, test competing modeling strategies, while leveraging continuous analytics processing, auto-training, and model performance monitoring powered by the C3 AI Suite.
Promote and track ML Models to production without the technical overhead required by traditional systems. Trained models are immediately exposed through addressable API endpoints.
Scale-out up to millions of ML models within a single application through pre-packaged automation including automatic scoring, compute resource auto-scaling, version management, alerting, hyperparameter optimization, and auto retraining.
Test competing modeling strategies in production through champion-challenger deployments, randomized A/B tests, or shadow models
Meet all rigorous security and governance requirements with full transparency, versioning, and access control for all modeling artifacts (incl. notebooks, input data, features, models, and outputs).
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