business development

The latest developments in artificial intelligence has created countless new business opportunities. In the video below, I explore some of the angles and vectors that I think are getting overlooked in this field. Approximate Transcript: This video is about AI business opportunities. Basically, it’s obvious to many people, maybe some people less obvious, but to a lot of people AI where we’re at with AI right now what has just happened in just the last year or two, and what is likely to happen in the next year or two, there are major, major new opportunities for people to either start new businesses or add on to their addition their current business or to make themselves and it’s in a lot of ways a lot of these things apply to people who work for other people, but, but want to continue to be valuable to their company or to other companies that go forward. I mean, there’s really a massive abundance of opportunities here. If you’re setting out to create a new business or add part at something to your business, it’s actually more about narrowing your focus than it is about like, is there enough opportunity out there, there’s just so much this AI is going to change a lot because going to touch every single industry very, very quickly, some industries sooner and faster and more initially, but ultimately, it will touch a lot, a lot of things. This is not like Bitcoin, this is not like blockchain. This is not even like a like even the cell phone opportunities. There’s so much more, I think it’s on par with the internet, Bill Gates said that there’s only one thing that he that was transformative that he’s seen in his 40 years. And that was actually the graphical user interface. He didn’t even mention the internet. You know, to be clear, like all of these things needed to happen in order for this to work. But here we are, and AI is really, really, really amazing. So you know, I mean, you kind of do your research. And here’s one of my major recommendations, you know, do a little bit of research, do some research, and then pick a path and pick a good to excellent path, and stick to it and just just hit it and stay focused, you’ll hit a wall, keep going and stick with it to some degree. Now, that doesn’t mean you don’t pivot, but it just means that you keep you don’t stop completely or completely abandon everything with the first hurdle that you see. And also this is about not picking, not searching for the perfect opportunity. Because you don’t need the perfect opportunity. Also, it just puts you on an endless quest of searching, or all you’re doing is searching, searching, searching, searching and researching, researching, researching, you don’t actually do anything and you miss the opportunity. Also, it means what a lot of times what happens with this kind of thing is you start one thing, you go halfway into it, and then you see what you think is a better opportunity, you stop that thing. And the first thing and then you go to the second one, and then you rinse and repeat. And you end up after a years with multiple half made business opportunities. So definitely don’t don’t recommend that first area, I would say is with software development. There are new software capabilities that have come about just in the last couple of years by calling the AI API’s, for example, text summarization, you couldn’t really do this in any sort of efficient way, unless maybe you have like a really specific set of niche specific text. Yet AI can do this very inexpensively. And and this is actually extremely valuable. And something that you can do within software that actually is can is very useful. And there’s a host of other things like this, that that the software can do now that it couldn’t do before, in some cases, even just a year ago, or like more precisely in some cases, like it could do it a year or two ago, but the solution was really bad or really expensive. And that that has improved dramatically since then. So it’s more practical, you effectively couldn’t do it. But theoretically, you could do it. That’s kind of what I’m talking about. Also, I think that there’s some room, a lot of room for what I would call AI winter independent solutions. So this is sort of like if openeye wins. If Google wins if and video wins, if some other new company that we’ve never heard of yet wins the AI war, your solution still works. And this is one way to go about it to where, you know, you’re not dependent too much on a single provider that said, like, you know, you could be using open eyes API and then switch to somebody else’s API in the future, should you need to do that. So that’s not necessarily like, just because you’re kind of dependent on one. But this is more about talking about like, tools that use a variety of different types of API’s. But that could also allow users to pick between them, between different ones sort of will make more sense if you go down that path. And then also there’s a lot of niche or use case specific solutions. So you know, I mentioned in another video about like AGI versus AGI isn’t and I think in a few other videos, you know, they’re they’re just because there’s a super intelligent, artificial general intelligence. That is more are intelligent 1000 times more intelligent than the smartest human being ever, does not mean that it will do everything, and does not mean it will even do do everything well, and that there’s a lot of room, especially for smaller competitors to come in. So, pick a specific line, pick