Post by apuroos1453 on Dec 5, 2023 4:25:52 GMT -6
So
what I'm hearing is that being freed from a lot of the constraints of traditional scale comes inertia and like new businesses, it's much faster. Surely some of these innovations could help some existing enterprise AI, right? Shilpa Prasad: Yes. Absolutely. Sherwin Kordabande: That’s great. You talked about upskilling, retraining, and maybe reimagining the role of humans in the whole mix with AI in the mix that you talked about.
Please tell us about generative AI and the role you think it plays in it. : I think the possibilities are huge, just like any other opportunity in artificial intelligence. For example, one aspect of the intersection of augmented reality and artificial intelligence means that we are not only focusing on the Telegram Number speech and text aspects of the artificial intelligence, but also on the computer vision-related data streams that are being captured and processed so that skill transfer occurs as efficiently as possible. So consider the nurse training environment. Instead of practicing on real patients, we practice on dummies. If you have to teach trainee nurses how to position a patient in bed to perform.
A specific procedure, there is great value in capturing the data stream from the lead training nurse to understand how to do this, and, when you actually practice, get Real-time feedback, right? So we're looking at multiple data streams here. So not just natural language processing, but we're also looking at computer vision-based technologies and bringing in artificial intelligence to almost enhance that process and the trainee and training experience on both sides, right? This is an example of how we do things differently. : Normally, I'm very excited about the applications of artificial intelligence that we talk about, but I'm a little threatened here. I mean I'm an educator here and I hear you talk about all the different ways of reskilling and reskilling.
what I'm hearing is that being freed from a lot of the constraints of traditional scale comes inertia and like new businesses, it's much faster. Surely some of these innovations could help some existing enterprise AI, right? Shilpa Prasad: Yes. Absolutely. Sherwin Kordabande: That’s great. You talked about upskilling, retraining, and maybe reimagining the role of humans in the whole mix with AI in the mix that you talked about.
Please tell us about generative AI and the role you think it plays in it. : I think the possibilities are huge, just like any other opportunity in artificial intelligence. For example, one aspect of the intersection of augmented reality and artificial intelligence means that we are not only focusing on the Telegram Number speech and text aspects of the artificial intelligence, but also on the computer vision-related data streams that are being captured and processed so that skill transfer occurs as efficiently as possible. So consider the nurse training environment. Instead of practicing on real patients, we practice on dummies. If you have to teach trainee nurses how to position a patient in bed to perform.
A specific procedure, there is great value in capturing the data stream from the lead training nurse to understand how to do this, and, when you actually practice, get Real-time feedback, right? So we're looking at multiple data streams here. So not just natural language processing, but we're also looking at computer vision-based technologies and bringing in artificial intelligence to almost enhance that process and the trainee and training experience on both sides, right? This is an example of how we do things differently. : Normally, I'm very excited about the applications of artificial intelligence that we talk about, but I'm a little threatened here. I mean I'm an educator here and I hear you talk about all the different ways of reskilling and reskilling.