The C3 AI Platform’s continuous analytics processing framework automatically and efficiently updates analytics and machine learning predictions as soon as new data arrives and ensures that end users are always using the latest analytics results. The C3 AI Platform enables developers to quickly and easily configure analytics that will trigger only when relevant new data arrives.
Continuous Analytic Processing
Leverage distributed stream processing to capture new data and update analytics and machine learning predictions
Configure specific analytics and frequency to update on arrival of new data
Optimize computation needs by updating only when sufficient new data arrives
Automate Machine Learning
Retrain algorithms when needed
Manage retraining pipelines based on incoming data
Detect anomalies as they occur when using unsupervised algorithms
Update the predictions for business users when it is required, using latest data
Model Lifecycle Management
Build and test machine learning models using prepackaged templates based on the latest open-source frameworks and C3 AI’s ML Pipeline technology
Version all critical assets, including datasets, runtime, and library configurations, machine learning models, and auto hyperparameter tuning experiments to ensure full reproducibility, progress tracking, ML governance, and compliance
Establish a regular cadence of production deployments and automate prediction and retraining workloads to ensure the best models are selected and kept up to date
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