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VR is responsible for data collection and TT has responsibility for data validation.
Public cloud services such as Amazon, Microsoft and Google are responsible for data management and maintenance, whereas the responsibility for data in private clouds remains that of the company.
However, the ultimate responsibility for data completeness and accuracy rests with the consultant PCI operator responsible for the PCI procedure.
Get responsibility for data out of IT.
And it is where much responsibility for data must lie.
The larger motivation is to get responsibility for data where it belongs.
It is not surprising that they bury responsibility for data deep in their bowels.
Most people and companies don't think deeply enough about where responsibility for data should reside.
This may be the most fundamental reason for moving responsibility for data out of IT.
Instead, responsibility for data is split between all the dozens of different offices that handle the agency's different reporting regimes.
Organizations need to get responsibility for data out of IT, as I argued in my last post.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com