When you purchase through links on our site, we may earn an affiliate commission.Heres how it works.
The stakes are becoming increasingly high for companies developingAIin highly-regulated industries.
Although nascent, it could be a component in unlocking the real potential of data for data owners.
Co-founder and CEO of Apheris.
This dictates who can run which computations on which of their data assets, and for what purpose.
This is essential for several reasons.
Additionally, computational governance plays a vital role in the development of ethical and responsible AI models.
Each time data is moved, it is exposed to threats such as data theft and data interference.
As a result, the data loses much of its value to the owner.
Keeping proprietary data protected as a valuable asset is of critical importance to organizations of all sizes.
This enables data custodians to derive further value (either through commercializing it or productizing it).
Why dont companies do this already?
A mindset shift is required if change is to happen.
As a result, many organizations fall short of compliance requirements, especially in Europe.
Companies are left at a crossroads: Do they prioritize compliance or innovation?
We’ve featured the best database software.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
If you are interested in contributing find out more here:https://www.techradar.com/news/submit-your-story-to-techradar-pro
