enterprise AI

“Solutions need to be 99.9% in accuracy right out of the gate from day one in order to be really effective”

“So the important metric is time to insight. How quickly can we actually be doing things that reflect a real understanding of what's happening in your company?”

“It's probably a 20, 25 years journey, and we are like one third into it.”

“In most real-world use cases and we'll get into how I define that in a bit, there's still a last mile to be traversed. So it's not that they're overhyped, per se, they're just not the complete solution.”

“95% of the use cases in the enterprise are actually pretty specific.”

“Most of the tasks are pretty general, right? Most of the tasks are pretty like a human would do. And so you just want the best models. And as it happens today, the best models are before enclosed. So that's what you want.”

“For a large amount of the people within companies, The best way to onboard them the technology is to not give them a very general assistant that can do anything and everything, but instead focus the assistant to some use case that feels more like a tool.”

“The surface of products that you could build in the consumer, prosumer space is vastly bigger than what you see in enterprise.”

“So, so this is the part that will take years to fully figure out and get right.”

“So there's that phase of like POC or figuring things out. It feels like it's passed us by now. Like most organizations know the opportunity. They know what they want to do, and they really just need help to go execute on it.”

“What we see in enterprise is rarely things that are solved with agents because that's not necessarily where you would expect an FDE to be most useful. Where there is more values, value is in more complex workflows where you will have several agents interact th…”