Raza Habib: prediction

Transcript context

…But just more broadly, like becoming an enterprise oriented company what if you had to. Change or learn. Yeah, so I would actually say that, like, we've only done it because we were feeling the pull. Right. It, it, I wouldn't recommend doing it early if you can avoid it because you do have to do all of these things. SOC 2 compliance. And I think Peter is filling out a very long InfoSec questionnaire today. Right. And although you have most of the questions prepared, each one is just a little bit different. So there is just GPT to fill it out. There's this overhead on each time. No comment. And, but the potential gain for some of these larger companies, right, if they can make efficiency improvements of 1, 2, 4, 5 percent is so much bigger. And the efficiency improvements probably aren't 5%, they're probably 20%, 30%. And so when the upside is so large, you know, if you are a, if you're a large company, that's, you know, your costs are dominated, say, by customer support or something like this, then the idea that you might be able to dramatically improve that, or if you can make your developers much more efficient. There's just no shortage of things. And I think a lot of companies in the build versus buy decision, they want to do both because they want to have the capacity internally to be able to build AI features and services as part of their product as well. So they don't want to buy everything. Certain things, it makes a lot of sense. It's fully packaged. No one's building their own IDE. Like they're going to use copilot or whatever is the equivalent, but they want to be able to add, you know, I think the first AI feature that Gusto added was the ability within their application. For people who are creating job ads could put in a very short description and it would auto generate the first draft job ad and was smart enough to know that there are different legal requirements and what information has to be there for different states. So in certain states you have to, for example, report the salary range and in certain states you don't. It's pretty easy to like give that information to GPT 4 and have it generate you a sensible draft. But. That was, I think, something that they got to production, you know, within weeks of starting. And just to see such a large company go from zero to having AI features in production, and now they're adding more and more. It's been quite phenomenal. Yeah, the speed of iteration is unlike enterprise, which is fantastic. I think a lot of people see the potential there. I think people's main concern with having someone like HumanLoop in the loop is the data and privacy element, right? Do people want on prem HumanLoop?…

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