Dr. Darryl Williams
speaker
108 appearances
2 recordings
1 series
first heard Jan 2025
last heard Mar 2025
Dr. Darryl Williams’s voice in public audio — every appearance, attributed to the second.
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I have two things. One is the AI stem cells, which is fabulous. The other one is the supply chain as a whole. Georgetown just came out with a great – a great document where they did a test and they found that less than 2% of every manufacturing company in existence, less than 2% knows deeper than two levels of their supply chain.
And so since we go far, far deeper than two levels, we are finding that
whole world is open and so um as a proof of concept we are looking at commodities because we have the ability now of looking at multiple commodities multiple levels of depth from each commodity and predicting activity in that commodity 12 months in advance we know there's a way of making money with that but we don't have a lick of understanding of what it is we're doing
So that's just some of the stuff that I put on my chief scientist hat. We just start delving into neat areas that we can use AI.
Yeah, the... Primary misconception is that AI is the solution to any problem you may have. There is this thinking that, because I see it numerous times with business pitch decks, is that if they have an issue, if they just sprinkle a little bit of AI on that, that first of all, what that'll do, that'll give them about six months
of uh leeway from their shareholders because it looks like they're doing something and then the other one is that it's going to solve something and really you've got to get you have to go back to the basics of business what you know your whole SWOT analysis what is your strengths what are your weaknesses you have to know what your problem is before you can apply AI to it AI never solves anything.
AI just makes a solution faster, broader, and deeper. So if you don't have a solution, you're throwing a Band-Aid on a gaping chest wound. It just doesn't work. So I see these people that have... But this is so important.
It is, it's AI can free up time if that's what you need. So in your case, so in my case, to do the mapping of supply chains in a bespoke manner, it took maybe three months of solid day in and day out research in order for my analysts who are very skilled to do the actual interpretation.
So the first use of AI that I use with our algorithms was just doing brute force research and shrinking that timeline from three months down to three days. But you have to know it doesn't replace the business principles that you should have learned.
And I hate to keep harping on it, but it comes down to accuracy. Because for a lot of your investments, it's all about the millisecond. And a millisecond, what is it, 100 milliseconds for a single blinking of an eye? But if you're one millisecond later to the market than your competitor, they've made a billion dollars and you've lost a billion dollars. And so accuracy is critical.
And so I can tell you that when you have... visibility as deep as we can with the accuracy that we can. We are able to predict ebbs and flows, but we don't, you still have to have the intimate knowledge of how these markets work. And so that is, AI is not the panacea of everything. AI just gives you information faster and the more accurate, the more decisive you can be.
Yeah, if I can make an assumption in that question, the question is, is that that particular question asker has a culture or a process which makes them unique amongst all the rest of their competitors, right? AI at this point, although people talk about autonomy and stuff like that, AI at this point, I do not believe replaces the human decision maker.
There is something that we are not generative AI, we are cognitive AI, which means that our system will actually enable you to make decisions. But up until this point, there is... No AI that replaces a gut feeling. I mean, it's an individual that's looked at the cotton commodity. His or her whole life will see something in a number that someone that just comes out of Wharton will not see.
What the AI does, it gives them exactly what they need to see at an accuracy for what they trust so they can make a decision in a millisecond when everyone else is trying to run back for more analysis.
Not to mention, I mean, not to mention if it's a thought leader, if it's an innovator, they're innovating off of what they've always seen. How better can they innovate if all of a sudden they're seeing three levels deeper than what they've ever seen before?
Now, all of a sudden, they're able to tape leapfrogs against any of their competitors because their awareness at level one ports down to level five or six, and their ability is unstoppable.
No, not at all. It's no, we don't.
Next couple of years. Well, I mean, the family office and the investment and the banking isn't going to change over the next couple of years. So the ability to know your customer faster, because right now an individual that has a tremendous amount of money does not want to wait five weeks. And so if they have to wait five weeks, they go somewhere else. So that's going to change.
I mean, so that won't change. But where I see things changing is if they can – Well, we have, but if someone else can get to the point where they can remove error from the data streams, I think what you're going to see with an IoT capability like autonomous vehicles, autonomous taxis, space, and everything else is going to just explode. Because right now, if you're in a car...
and you're driving in Los Angeles or wherever else that has multiple 5G towers with IoT, and your error ellipses are down in the millimeters, you're fine. But if you want to take that same car and go across the United States, your errors might take you somewhere else.
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