healthcare

“And I think what will work for us in healthcare is to service the doctors and the patients and ignore the hospitals and the, Insurance companies and all the big honkin' bureaucratic institutions in healthcare.”

“Many of our customers in the regulated industries, government healthcare, insurance they say that customer service is their number one priority, bar none. And yet they're also ranked among the worst at it.”

“And so we could see, it's very possible we could see more machine learning innovations, or at least in certain areas, Like maybe in healthcare, for instance. We might see more machine learning innovations that happen in China than happen in, in other places.”

“And the core technology that we have is something that's called homomorph encryption and it's been growing in, in many different spaces and a diff, couple different areas, but it's enabling and on the cusp of addressing all these very, kind of, serious issues …”

“So I think it's still going to be, I don't know, like five years, probably like, I don't think it's going to be like one day suddenly it's solved. I think it's going to unlock industries sequentially. So like, year one, maybe we can do this industry, and then …”

“You wouldn't need an, a tone classifier for most interactions with an LLM, but you do in healthcare. Because a lot of the information is in the anger, the pain, the frustration.”

“I think that health care is historically like eight years behind everyone else, but there's also a very massive upside there right now for people who are going to be using machine learning and data science to solve problems.”