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The biggest cost of implementing ai is by far the opportunity cost. Without the data it’s almost impossible to validate a machine learning solution in the research phase resulting in a near deadlock. The steep price of machine learning makes it less accessible for individuals, small teams and startups that want to tackle a new problems or automatize their processes and decision making.
We’re not going to go into too much detail on why they fail, but here’s a very good write up on the subject by alison doucette.
On the other end of the spectrum, for latency free deep learning inference you can shelf out from $10,000 to $30,000. Learn the basic building blocks of how to analyze & communicate data findings. It is therefore safe to assume that teams have, on average 5 members. Start your coding journey with codecademy pro.
