algorithm

“So if it were true that the algorithms are demonstrably, measurably, statistically better than a human driver, then we should not let human drivers on the roads, and so if you wanted to go drive, then go to Legoland.”

“If you are an algorithm company, It's very, very hard to build any kind of value because somebody else comes up with a marginally better algorithm. So you need to pair the algorithm with the data.”

“I think we're still in the exploratory stage because the algorithms are not matured enough yet.”

“If you can't get somebody to wear the device that you built, none of the sophisticated algorithms that you have matter at all.”

“In some ways they were right. That was impossible. It was impossible to take existing algorithms and just like shove it down to a very different architecture. You basically had to rethink the problem.”

“Very rarely is like an algorithm like this secret sauce for a company. Because you could look at what goes on from the outside and pretty much reverse engineer an algorithm.”

“By writing it down, I was able to communicate with others, so it got us in sync, and then I was able to convert a lot of these two algorithms so that I was able to build a decision-making system.”

“And in that study, the algorithms find 92% of the cancer. Then we show them to the human pathologists who find 96% of the cancer. Go team human. But the fascinating thing is if we let the humans use the algorithms together, they find almost all the cancer.”

“One of the easy rules of thumbs of you can see how sophisticated an AV leadership is just asking them, where's that line? And that line, that circle of competence should be as small as possible. That small circle in autonomy is algorithms. That's the coveted g…”

“We're almost no longer designing ourselves for like human taste, but we're designing ourselves for like the algorithm.”

“If you look at those high cost claimants, and you look at the algorithms that are used to identify them, there's a couple of very common ones, By the time they identify a patient, that patient's cost, and this is according to the National Medicaid Database, wh…”

“Our algorithm is, is trained not on cost or prior utilization, but on condition and social risk factors, and the various other data feeds that tell us about behavior, the kind of admission discharge transfer feeds, we can see whether they're picking up their m…”