Yeah, this is really great. It's a great question, and it's also one of the things I love the most about your company and the way you think about this.

There's a fundamental difference between the technology of deep learning and the harnessing of deep learning and machine learning to write software.

The importance of the methods and the process and the tools, that is so vital. What could be described as MLOps, so vital.

You have to understand not just the neural network architecture — and to be able to invent something that produces excellent results is of course groundbreaking work there already by itself.

But a company, in order to take advantage of this, has to realize that in the final analysis, this is an intelligence factory.

You have to think of it like a factory. That's the reason why the word "ops" makes sense. It's a factory.