Moving Toward Outcome-Based Intelligence
Amidst all today’s talk about machine learning, an important point is often forgotten: because true machine learning should be hidden, the actions taken based on machine learning should be the key measure of the technology’s effectiveness.
It is not just that machine intelligence can predict failures, it is how many failures are prevented because of it. It is not just that machine intelligence can detect API structures based on call traffic, it is how many more APIs get built because of it. It is not just that machine intelligence can recognize objects, it is how many accidents are prevented because of it. You get the idea. It can be argued that the true measure of machine intelligence is not accuracy and loss (some favorite measures of deep learning), but its effect on outcomes.
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