The Ledger, every show

“I think as we see the rise of these gen AI platforms, we're going to see the rise of more AI ops, the people who have to make sure the system's working and understand when it isn't and then fix it.”

“I think there's going to be need for all of it, to be honest. When it comes down to solving a very specific business problem like fraud detection, you don't want the algorithm to learn on its own. Just let a lot of fraud through as you slowly come up with an i…”

“A lot of the people who are now in charge of building Gen AI platforms or productionizing these massive use cases are the same people who built those original machine learning systems.”

“And it was a somewhat localized problem because like you're doing data science on your laptop versus now I'm just shipping off secret IP to some SaaS company or something like that.”

“We see some firms attacking the low hanging fruit internal chatbots to like ask questions about HR because they're afraid to take that leap to develop the difficult problem because it's so unwieldy and there is so much risk associated with it. A lot of the mos…”

“This is why Google will pay like a million dollars for someone with 10 years of deep learning experiences is that intuition that's built up.”

“A single person can do now what would have taken a team of researchers a decade ago.”

“What we're able to do is without any domain expertise, without making any assumptions about that underlying model, outperform these standard techniques by providing this ensemble of black box Bayesian optimization strategies.”

“This allows us to work with some of the most secretive algorithmic trading firms in the world, where their domain expertise and their models are literally how they make their billions of dollars, but they can still use SigOpt because all we're tuning are these…”

“One thing that we've seen that's really interesting over the last year, year and a half is people have started to shift from kind of science project prototype land where they have a bunch of individual teams trying to roll their own stack and trying to like bu…”

“Huawei is another customer.”

“That's a fair assumption, yeah.”

“No, that's the nice thing is once customers start putting this into their system to replace it, they have to go back to one of these Previous techniques, like trying to brute force the problem or something like that.”

“Prudential is really investing in machine learning and data science. I think we see this across the board in a variety of different insurance companies where some of the more traditional models are being augmented by the amount of new data that's Being able to…”