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Product Release Highlights

Build a business case

AI Operations and Lifecycle Management

Automate and scale AI projects, from creation to production.

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.

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