Boris Valkov

So the enterprise use cases are not yet completely figured.

This is just the beginning.

You're at the 1% of what AI will be capable of doing.

And that's why I think right now it's more of an experimental phase.

A lot of new use cases.

There are some applications, but again, there are...

security and access and things that need to be figured out before we can embrace completely the future.

So yeah, I think it's coming, but it's very early on.

Yeah, I think that what is happening is a massive advancements in the speed at which we can deliver things, which is great.

But at the same time, it will take time to figure out the corner cases.

For example, you can build quickly a system from zero.

tools like a working system but um to be able to maintain the system to be highly reliable highly available uh for millions of people in millions of companies it's it's a it's a different story so yeah there there is a path to get from and it's different so from uh working at meta and facebook i learned um and seen this multiple times that from research

to experimentation to production is a massive change in what you need to do.

And so from experimentation to production and to actually be able to fully rely on those systems, it's going to take a little bit of time, but we're definitely starting a massive change in how we should be thinking about this.

And there are already software companies that are not fully shipping full autonomously code.

But the question is, what are the biggest companies and the biggest systems where you can do that without intervention?

I think that this is where it's going to be a lot of advancements happening in the next few years.

Yeah, so, and you start from the funnel and you think about your business and what are the biggest bottlenecks in your business.

And yeah, so from, and then you kind of saw them one by one.

And from a LACE perspective, onboarding is, and we worked a lot to make it as simple as possible, as seamless as possible, essentially, how can you make it