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More seriously, you know that a technology is important when it seems game-changing even in its most rudimentary implementation. If it has been around for a decade and it's still struggling to find a use case, then you have a different problem than "scaling"
By the way, you know what's game-changing even in a rudimentary form? That's right, machine learning. You can build transformationally better products if you're armed with logistic regression and old-school CV techniques
Was machine learning game-changing from the begining? According to wikipedia term was coined in 60's. So we should have exeprienced 60 years of ML revolution. Every technology is a game changer if we can decide when this technology started.
Every technology has some primitive versions that were not useful or/and overhyped. We call these versions primitive using the power of hindsight. So current versions of technology might be bad, because they are still too primitive to be called revolutionary.
Do you believe it is still dial up stage for Machine Learning?
You’re completely right. And it can transform every sector, every industry.
The keyword here is Products. It would be helpful to get product people a seat at the table along with the technical staff.
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