Adaptive Machine Learning for Machine Learning

Having those functional style operators that can be easily distributed across multiple cores is I would argue even more valuable. And one more pitch is which I've seen a lot more, at least so far at Databricks and in prior roles, being able to write functional style programming concepts. It seems like being able to distribute across a bunch of cores is one of the fundamental issues with big data. So maybe we're not facing that problem yet, but we will do maybe soon. Yeah, I'd say it's a factor of company size and maturity in the ML space.