Answered produced feed
D 5 · C 5 · P 4 · Cm 4 4.60
Q to do with it. I think you're his brains on it will help us make use of the data. Maybe you apply machine learning or something and you get some things out of it. Here's the scope, right? One, would you change the scope to how many hours do you think it would take? And three, what would you bill me for that? Is that kind of how it works?
A It is. And to be honest, most clients, Aren't informed enough to understand the true scope of the project. So what we do, there's kind of this life cycle that evolves. So a lot of it is just coming in and having that upfront kind of education and then business question discussion, right? Strategy, pure data strategy. Where are you? Where do you want to go? And in this conversation, the scope just bleeds out of it instantly. Once you kind of have that scope, you say, okay, this is how long it'll take. These are the algorithms. Here's all the fun stuff we'll do in the middle. But the most important part that we always have to push back to the client is this is the value you'll get, right? Here is the end result. The output of your algorithm will allow you to enable your customers or your internal sales team or your product to move forward from the business perspective, right? So we have that conversation, and then they say, oh, great, I'm willing to pay this much for it.
AI assessment note: “It is. And to be honest, most clients, Aren't informed enough”
Answered produced feed
D 4 · C 5 · P 4 · Cm 4 4.30
Q Would that first client pay in terms of the amount and what were they paying for? Tell us about the products.
A Sure. So they were a very interesting client. So they were a group out of Stanford studying sleep apnea. So, um, which is what sleep apnea is a disease. When you go to sleep, you basically stop breathing for periods of time. And this causes death, right? You can imagine stop breathing. Okay. That's an issue. So right now, if you have sleep apnea, you go to a doctor, you get hooked up to all these, you know, charts and blood pressures, and it monitors it. They had this idea of taking just the sound, recording your sound from an iPhone app at night, and being able to determine sleep apnea through machine learning from your recording of your sound. So they basically hired us to build out this entire suite of AI machine learning product solutions, and we did that, and it actually got them through FDA regulations, right? So it was a Completely new thing in the medical space using very sophisticated data science. Um, so they paid. They were our first client. They, they didn't pay nearly as much as people pay nowadays. I think about a factor of four less. Um, but I, I think they got a very good value for what they got out of it.
AI assessment note: “hired us to build out this entire suite of AI machine learning product solutions”
