Post by apuroos1453 on Dec 5, 2023 4:25:29 GMT -6
The AI that's happening within this innovation center, or contrast that with the AI that's happening in the enterprise. : I'm sure you both are very familiar with a large business and the channels you have to go through to get any product to market. And by bringing anything to market, I also mean releasing something that has a greater impact within the business, right? So when you look at the enterprise around AI, particularly in electronics, my understanding so far is that there's been limited interest in venturing out because it disrupts a lot of their existing.
Work and I'm doing Something similar is planned that leverages some of the existing technology, and when we bring something similar to the market, none of the existing parts will be affected. In fact, they will benefit. Take, for example, multiple workers working in factory settings around the Whatsapp Number world. Everyone understands today that there is a gap in the workforce in factories from the perspective of frontline workers. Productivity-related requirements are constantly being raised within the company to ensure that the entire production capacity is met.
These are real problems that have not yet been solved by artificial intelligence research within enterprises. You asked about time to market. I was tasked with determining whether a business could go public within six months. I think on the enterprise side, it's going to take a few years, if not longer, right? Any time between two and five years. This has always been a talking point: Businesses grow slowly; they start up quickly. So I'm essentially building a startup within the company.
Work and I'm doing Something similar is planned that leverages some of the existing technology, and when we bring something similar to the market, none of the existing parts will be affected. In fact, they will benefit. Take, for example, multiple workers working in factory settings around the Whatsapp Number world. Everyone understands today that there is a gap in the workforce in factories from the perspective of frontline workers. Productivity-related requirements are constantly being raised within the company to ensure that the entire production capacity is met.
These are real problems that have not yet been solved by artificial intelligence research within enterprises. You asked about time to market. I was tasked with determining whether a business could go public within six months. I think on the enterprise side, it's going to take a few years, if not longer, right? Any time between two and five years. This has always been a talking point: Businesses grow slowly; they start up quickly. So I'm essentially building a startup within the company.