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The Single Biggest Reason Why AI/ML Companies Fail to Scale?
And Three Things You Can do to Avoid it Happening to you.
“What’s the accuracy of this machine learning (ML) model?”
“How long is the training time?”
“How much training data do you need?”
Working for a company that builds machine learning software for robotics, I hear these questions every day. Machine learning has become a shiny object that everyone wants to pursue. Over 80% of the companies are looking into at least one AI project.
Users generally want to know how long it would take to onboard a new item and how well the models perform or generalize. They want a way to measure the overall cost against performance. However, answers to the above questions don’t give you a full picture. Even worse, they are misleading.