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0 pointsnevir7y ago0 comments

FWIW, as an example, Google developers don't have direct access to production PII data.

The best they get are aggregations (sufficiently large enough that you can't identity a person). Specific user information is only available if the user explicitly opts in to share it, and is scoped to the specific case for analysis.

It makes training/diagnosing ML models a challenge, to be sure

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kuzehanka7y ago· 2 in thread

Let's be really clear here. It doesn't just make ML solutions a challenge. It makes them impossible.

Even with all the compute power and automation of google, you can't blindly create an ML model and say yes it works without a data scientist actually looking at the guts with row-wise access to the training/validation data.

You can't do analytics without giving engineers access to prod data. Not at even at Google.

nevirOP7y ago

And yet, they do.

Source: worked there, on a ML focused team.

kuzehanka7y ago

Go on, tell us how it works so we can all start doing the same and save millions of dollars in risk/compliance crossing enablement.

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