The road to machine learning is likely paved with APIs
When it comes to machine learning, the future is already here, but it’s not yet evenly distributed. Taking advantage of breakthroughs in the field can require a lot of work, which is tough for small companies and those without a whole team to build custom applications and algorithms.
According to Okta CEO Todd McKinnon, there’s a lot of hype around the potential of machine learning, but companies aren’t actually taking advantage of it. It's similar to how people discussed big data a few years ago.
“We think about this a lot, and the most interesting thing about machine learning that I’ve noticed over the last year is that it’s kind of like what big data was three years ago,” he said. "Everyone talks about it, but nobody really has it."
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