While leading organizations want to harness the power of open source tools for AI/Ml, it is imperative they maintain control over their entire ML pipeline. Basic needs include the ability to track users, projects, and deployments, integrate with enterprise identity providers, and implement role-based access control. But leading organizations know that’s only the beginning. IT organizations need full control over their open-source supply chain, including the ability to track entire project lineage from packages to source code to deployment logs.
Anaconda Enterprise enables governance and supports full reproducibility from laptop to server to cluster. This provides peace of mind, as data scientists will know that they have full control of their model lineage, guaranteeing reproducibility on all model versions, and IT admins will know their data scientists are using approved packages, have access to the compute instances they need, and are operating in a manner consistent with enterprise IT and security policies.