By: Semion Mazor, Senior Product Marketing Manager – NetApp
By: Alon Goldin, FSxN Product Management – NetApp
By: Vaibhav Dhawan, Principal Field Solutions Architect – Domino Data Lab
By: Ben Lin, Senior Solutions Architect – AWS
| NetApp |
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Introduction
As AI scales from pilots to enterprise production, data architecture, not the model, becomes the critical governance layer. Model performance still matters, but reliable AI in regulated environments depends on controlling data location, access, and the state behind each run. Data scientists need timely access to approved datasets. Your platform, security, and risk teams need access controls, data-residency boundaries, and reproducibility evidence. Manual copies and one-off processes deliver neither: work slows and unmanaged datasets multiply.
Regulated organizations face…
https://aws.amazon.com/blogs/apn/scaling-regulated-ai-with-domino-on-amazon-fsx-for-netapp-ontap/
