This image shows the design principles associated with creating a machine learning platform and an optimal implementation path.

The image has two boxes: Data Sources and OCI and the communication is shown via internet gateway. The image shows various Data Sources such as enterprise applications, end users, devices, events, sensors, and digital assets. Data can be ingested in either notebook sessions or jobs from various data sources and transformed into predictive features for model training.

In OCI, data integration will transform data and load it to target data sources such as Object Storage and Autonomous Data Warehouse. Data is passed through OCI Data Flow service and Data Science to build, train, manage and deploy their machine learning models on OCI.

Data is also fed into AI services to provide model predictions.