machine learning

“The algorithms themselves are not that innovative. They're not that close source. So you, we're going, the company that's going to really innovate is going to need its own data set to be able to train its own models.”

“Like, let's say you know, you create the next version of Zendesk that's got a whole bunch of ML. It's not necessarily that that technology, you know, that Intel inside technology is going to all of a sudden reduce your cost of customer acquisition relative to …”

“Can you pitch your startup without saying machine learning? And what that means is you're not focused on the technology. You're focused on the value proposition. You're focused on why the customer is going to care about it. Why the buyer is going to be promote…”

“Machine learning is really simple. All it does is it teaches the machine to find patterns and data, and there are four things that you can teach a machine to do.”

“A machine learning innovation, in, in and of itself, is not enough to generate substantial customer demand. It has to be able to change the go-to-market.”

“That's a great, ah, analogy for how machine learning succeeds. And what I mean by that is, it's not in your face. It's hidden in the background. It's doing the work behind the scenes.”

“I think we're in the world of, like, there are very few SaaS companies that use machine learning at scale, and I think maybe next year we'll be talking about the first handful of them are, that are 10 or fifteen million in ARR, and we're going to be trying to …”

“The big theme about machine learning is, it's going to change the world of SAS because all of a sudden, it's not just, The machine learning innovations will happen in the core categories that we've seen in the past. Those horizontal companies selling to custom…”

“The impact of the early instantiation of machine learning in AI is having lasting impact in the software, and that will be impactful as we talk about the macro trends.”

“Certainly an example of applications that do are machine learning powered applications that have data network effects. Grammarly is an example of that. In our case, as an early mover, that enabled us to really build a very high quality set of suggestions to dr…”