The C3 AI Suite platform provides data science teams with un-compromised flexibility in building and testing machine learning models based on prepackaged templates that use the latest open-source frameworks and C3.ai’s ML Pipeline technology.
Use the model-driven architecture to manage and scale AI/ML model development
Compare models from Python, R, Spark with the same API
Generate better models using Auto ML capabilities
Train on all data using distributed architecture of the C3 AI Suite platform
Leverage library of 30 pre-built ML pipes on the C3 AI Suite and choose from a selection of deep learning, natural language processing, forecasting, and tree-based model pipes
Link composable ML pipes together to solve more complex uses cases
Wrap your existing models in a custom ML Pipeline to operate at scale
Use automatic model management including scoring, interpretability, model version, and validation
Run pre-packaged experiments to automate and scale-out time-intensive processes like parallelized model training and hyperparameter optimization.
Choose the best approach for your hyperparameter optimization experiment, including randomized, grid, or Bayesian optimization.
Parallelize experiments across the auto-scaling cluster or specify resource requirements such as CPU vs. GPU.
Track all experiments in C3 AI ML Studio’s visual experiment tool
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