How do you envision a data science team operating with OCI Data Science today adopting AIDP over time?
Hi @Oren Benjamin-Oracle in terms of an existing Data Science team adopting AIDP I have a few points that might help:
For migration of existing workloads, you have the ability to import notebooks that have been exported from Data Science. You can also install any relevant dependencies on the compute cluster attached to your workspace (similar to how a notebook currently works in Data Science) so they should run without issue.
The benefits I see of AIDP over Data Science is you have full autonomy of data in AIDP, either through Managed Catalogs within AIDP, where you can create tables/schemas on structured or unstructured data, or leveraging External Catalogs (ADW / Oracle database etc).
The in-built foundational AI models, and embedding models that you can make use of natively in AIDP is also a big plus. Very easy to use and have some nice features like Notebook Code Assist.
GIT integration / CICD is also on the roadmap for AIDP too.
Hopefully that helps, but if you would like to take a look at the Roadmap, I have linked the latest documentation below - which is hot off the press :)
Oracle AI Data Platform Product Roadmap Webinar Replay - January 2026 — Oracle
Thanks
Phil
@Oren Benjamin-Oracle , Welcome to the Oracle Analytics Community! Thanks for the question.
Please refer oracle doc, this shows how to register and use Data Science models in analytics workflows - another step toward a more integrated platform.
In terms of OCI Data Science adopting AIDP, hoping Oracle Product Team can share some insight into it.
@philipgodfrey , thanks for sharing, it is very useful. Appreciate it.
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