Access to open-source data science tools
Harness open-source technology, such as JupyterLab, so data scientists use tools they know and IT understands what is built.
AI labs as a service
Access lab environments supporting SAP and open-source languages and libraries, reducing time spent on infrastructure tasks.
Insights into model performance
Track all elements of the machine learning process to understand model performance and help ensure trustworthy results.
Automation of low value tasks
Manage model performance and lifecycles automatically so IT teams and data scientists can focus on tasks that matter.
