Palantir and NVIDIA Restrict Certain Model Uses over Data Concerns.
The episode shows that governance isn't a later layer: it conditions what information can be entered into each system.
Reference image: NVIDIA. Image source ↗
What happened
The episode shows that governance isn't a later layer: it conditions what information can be entered into each system. The source presents this development in ai & data: Palantir and NVIDIA Restrict Certain Model Uses over Data Concerns.
What changes
The new thing is to move from generic assistants to system with context, permits and ability to run jobs within actual processes.
Why it matters
It matters because automating without adequate data, permission and monitoring can accelerate both value and error.
Implications for businesses
A repetitive process with reliable data, clear permits, stock registration and a person with responsibility for revising exceptions should be initiated in Mexico.
One Rhino’s take
Useful AI appears when connected with context and responsibility. Without that cape, automation only produces faster responses.
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