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Post by apuroos1453 on Dec 5, 2023 5:32:17 GMT -5
I think one thing is, when you're outside the company, you just don't have a way to understand all the different moving parts that are going on. So we can't prove product-market fit, which is where this comes into play. I once again had the opportunity to try to do product market fit in an industry and environment that was a little different than what I was used to, but I think the specifics were the same. This is just my brief background. : It’s very exciting and very interdisciplinary. Which brings me to my next question: AI is not one size fits all, of course it is engineers, , etc. But I've noticed a gradual evolution of skills in the Phone Number past, I would say, year, year, year or so, from being limited to can have many forms of areas. It can be social science, human-computer interaction, philosophy or other fields. But do you feel the same way? What are your thoughts on future talent in the field of artificial intelligence? : This is an interesting question. I have to say I don't see the same thing. Sherwin Kordabande: Okay. : What I see is not the width, but the depth. I think there's still a huge gap in the workforce when it comes to interdisciplinary capabilities. To your point, there's a lot of deep technical . I think that over the next few years, a lot of people like me who are responsible for how this technology develops will have to carry it with them. : This also involves measurement. I mean Shelvin, I know this is a hot topic for you but when you talk about impact, you have to figure out how to measure it.
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