Episode Transcript
[00:00:00] Speaker A: Foreign.
[00:00:17] Speaker B: Welcome to Ever Changing Technology where we break down the latest trends and innovations shaping our world.
I'm your host, Jim Bradfield.
Today I'm joined again by Dr. Sean Hamilton, a visionary strategist and modern renaissance man with years of experience leading technology teams across industries from IT to healthcare to telecom.
Dr. Shawn is known for solving complex challenges with innovation that truly makes a difference. Dr. Shawn, welcome again to the show.
[00:00:53] Speaker A: Hi Jim, it's great to be back.
[00:00:55] Speaker B: Good to have you, man. All right, so families I speak with about AI and machine learning seem to be freaked out about it. Now their questions center around the future of their jobs, the potential future negative effects of AI machine learning on their children as it relates to their finding jobs. So Dr. Shawn, what should my child expect for work when they graduate? Is, is AI and machine learning going to take over all those entry level jobs and crush the new workforce?
[00:01:26] Speaker A: I don't think that it'll actually take over the entry level jobs. I think it's going to go more towards the unskilled worker.
So really when you're looking at it, it's those entry level jobs. And with AI, one thing I like to call augmented intelligence, meaning that AI is going to work alongside of those entry level positions, help them research and find things much quicker, being able to do a lot more with a lot less, and having them be able to really function with their brain and really focus on their expertise versus some of the, the menial tasks. We all been there where you have to go around, get coffee and that kind of thing.
[00:02:15] Speaker B: Yeah.
So, you know, I, I guess the biggest thing that, that I've been talking to people on the sidelines at my grandkids soccer games, you know, they're all worried about is what exactly what functions are going to be replaced by AI technology. Like we talked about before, you know, factory workers, teachers, laborers, legal aids, nurses, things like that. I mean, can't, you know, can you get a little bit more granular about really who's going to be affected?
[00:02:47] Speaker A: Yeah, I would, I would say there's, there's going to be, especially in education, there's going to be a little bit of a shift and I feel that there'll probably be some type of overwatch AI overwatch where that the, the AI system can assist the, the teacher with, with the curriculum and really pay attention to if you know, the children are getting it or the students are getting it and also at the same time kind of give real time feedback to the teacher because sometimes, especially when you're engrossed in a Lesson you may not really be able to pay attention to every single child or student in your classroom.
So it's important to be able to have that ability to really have that overwatch and have the system saying, hey, this student may be struggling or may need a little bit more extra attention or at the same time be able to answer certain questions that maybe the teacher doesn't have in the textbook.
[00:03:59] Speaker B: Interesting.
So again, you know, my daughter is actually an online teacher for ASU and they do online programming and all that kind of thing. My granddaughter goes to school there as well online.
Now, what kind of subjects are those that are going to be replaced and, and more towards AI? Is that going to be like math and that kind of thing or are we talking about.
[00:04:29] Speaker A: I think generalized subjects are still, are still going to be germane to every single education. It's just more about having access to greater Pentiums of information that we didn't have before.
You know, we were, we were limited to textbooks or hey, here's your required reading.
Now you could really go off topic and kind of dive in and drill down a little bit more into these educational subjects. So one thing that everybody has been saying is, especially in the United States is a lot of the students have been left behind.
So this, this would give them the opportunity to really catch up and understand a little bit more contextual the subject matter.
[00:05:18] Speaker B: Yeah. And I guess, you know, let's, let's talk a little bit more about that teaching thing because, you know, it's kind of near and dear to my heart. You know, my, my sister does it.
My mom was a, she's a retired teacher and like I said, my daughter is a teacher. So.
And they're online teachers. So now one of the things that it's interesting because my granddaughter is doing this Spanish class online. Right.
And so it's a bunch of, a bunch of different kinds of programs and things like that that they're learning now. That's the kind of thing that I would see as being something that AI technology is going to be really good for, something that's wrote and you can develop it for the kids? Right. Is that pretty much what we're talking about?
[00:06:08] Speaker A: Yeah, absolutely. And also, you know, with AI, also the augmented reality and virtual reality, so bringing all of that into the classroom just changes the entire experience.
Like, for instance, you could be learning Spanish in Barcelona. Right. That's, to me, that's been a really engaged people. Because now you're not looking at a dry textbook, you're almost immersing the individual in the language. And I feel that that's what's going to stick a little bit better than just standard repetition.
[00:06:46] Speaker B: It's interesting you mentioned Barcelona because that's.
My daughter is teaching the Bartha Academy guys.
So all the kids that go to Bartha Academy for soccer. So that's kind of interesting. I never brought that up to you. But anyway, that's really interesting. And I think, should we tell the kids to learn more about AI and chat and all that kind of thing?
What do they really need to learn?
[00:07:17] Speaker A: Absolutely. They, they, they need to start immersing themselves in it. But they already have. Right there. See, I think it's, it's more of the, the older generation that is worried for the younger generation. I think the, the younger really kind of already get it. They just didn't know what it's called. You know, they've already been using Alexa, they've already been using, you know, Google AI, they've already been using Microsoft AI. So when you start looking at all of that, they're already introduced to this technology and using it.
So I don't think that there's a huge gap there. I feel that, like I said, on the work side and we did spend some time just on the teacher side of things, but it's the most important because that's really what's molding our future leaders and molding our individuals that are going to be taking these jobs, especially when we retire.
[00:08:15] Speaker B: Well, so, you know, the interesting thing is now who is programming that AI and how is it being programmed to be able to do all these things?
[00:08:26] Speaker A: So there's different models that they're using. And so basically there's, there's a DaVinci, there's 4.5. And so what that does is it allows you to get a level set of information.
And what I mean by that is like, for instance, you'd say, when was UVA founded? Right. It could tell you that. And so that's when they're talking about those large language models and those, those different models that they're using that they can connect to.
So these, these models are, are growing and growing. And you've probably seen with chat GTP that there's also the different models you can connect to.
[00:09:06] Speaker B: Yeah, that's, that's kind of what I've been seeing too. And, and you know what's interesting is the, the kids, you know, I guess it's more of those older people that don't haven't had that experience.
And we're seeing it now and we're hearing about it. And it's kind of, like I said, initially freaking us out because we're all sitting there looking at it and going, whoa, this is going to replace everybody. You know, what are we going to do?
But it seems like what you've just been saying is that, hey, really not, you know, it's going to augment you most, almost everybody. And, and I mean, that seems like, like the correct statement, right?
[00:09:45] Speaker A: Yes, absolutely.
[00:09:47] Speaker B: Yeah. So, I mean, essentially what's going to happen is you've got to make sure that when you're going to college and you're learning these kind of things, you're staying abreast of all these AI kinds of things, but you're learning higher and higher skill sets. Right. It's not just what I might have learned back in college, but what the kids need to learn now to really be valuable and understand how to use the AI to, to, you know, supplement their, their, their learning and supplement their business.
[00:10:19] Speaker A: Right, correct. And be. Use using it more on the creative side of your brain and being able to really, all the repetitive things and things that you had to learn before AI can do for you. So now you could really be creative. And the other thing you have to kind of think about is just like with every industrial revolution, we've always had fear. You know, we're now in the fifth wave. The fifth wave is what we would call Industry 5.0, which is then personalization. So things are going to be more personalized where you have the interaction between machine and human.
[00:10:58] Speaker B: Yeah. Okay, well, so basically what you're saying is that AI is going to be able to actually help everybody.
[00:11:06] Speaker A: So.
[00:11:08] Speaker B: So the cool thing is that parents on the sidelines, don't worry about it. Your kids are learning the right kinds of things and they're developing it and integrating it and they don't even know they're doing it. Correct there. That's awesome. All right, so we'll be right back. And up next, we're going to be talking about AI in the legal profession. And again, that's one of the things that these people have really been concerned about. They've been asking me, what are we going to do? Because I know a lot of attorneys. So these guys are looking to see whether or not it's going to be a friend or foe for lawyers. So stay tuned.
And we're back. I'm Jim Bradfield, and this is Ever Changing Technology here on NOW Media Television.
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So welcome back to Ever Changing Technology.
I'm here with Dr. Sean Hamilton, and in this segment, we're shifting gears to talk about AI in the legal profession. We did a little bit of intro on that, but I want to make sure for our lawyer friends that AI feels exciting and they are maybe apprehensive about it, maybe scared even that it could replace them instead of helping them.
I guess the legal professionals, Dr. Shan, are looking to figure out how AI fits into their daily practice. That challenge is balancing efficiency with ethics is what you talked to me about the other day. And ensuring AI is a tool, not a threat. So, you know, how do you see the AI, AI changing the daily work of lawyers and legal assistance?
[00:13:53] Speaker A: Sure.
So just a little bit of my background to add to some color.
[00:14:00] Speaker B: Yes, I should have brought that up. But thank you for.
[00:14:02] Speaker A: I've been, I've been a litigation, you know, support specialists. And so I've actually done patent litigation with attorneys. And so I'm very familiar with a lot of the processes. I've also testified in court.
So one thing that I do recognize is they produce a lot of paper.
So sometimes we would fly in and then the first thing we do is go over to FedEx Ginkgos to, to print reams of paper.
And that is because they need copies for everybody, all the, all the litigants and all the parties involved.
So for me, that's one of the things that I feel that with the New Wave or Industry 5.0, we're supposed to look at sustainability, and that's not very sustainable.
So we really could be able to put this all on a chip and then bring that into court.
Now, what does that do? First and foremost, it saves some trees, but also at the same time, it allows you to be able to search through large amounts of data to get answers.
You could literally ask AI, please find me this document, or find me the document that contains these words.
[00:15:22] Speaker B: I guess one of the things that we had talked about the other day was, you know, when you're in court and you're Ruffling through, you know, a hundred, you know, even a thousand pages of documents sitting on a table, and you're trying to find one, and they give you, you know, two minutes to find it.
You're really. You really messed up. Right. So this kind of thing, now, if you can do this in court, this is going to save you a lot of time, and it's going to save you, may even save your case, Right?
[00:15:56] Speaker A: Absolutely. And then, and then the next thing is, once you find it, you just shoot it up onto the judge's screen. So now everybody's looking at the same thing. How often have you seen lawyers who say, hey, can you share that with me? Which, which exhibit is that?
Where do you have that marked? Right. All these types of things, when you think about it, is a stressful situation. They're already in a very, you know, adversarial, stressful situation. And on top of that, now they're looking for a document. The other thing that I would say is a lot of times, you know, there's one thing that lawyers taught me, and that is you never ask a question you don't know the answer to. And for instance, if you said, hey, is this your signature? And it really isn't that person's signature and they're on the stand, they're going to look kind of foolish. Whereas AI could have turned around and said, yeah, that is that person's signature. There's multiple examples and exemplars of that signature. And, and it's verified that that's that individual signature. So if they are up on the stand and you ask me, hey, is this your signature? You already know the answer.
[00:17:02] Speaker B: Wow.
I mean, that has implications for just about any kind of application. Right. I mean, that's.
That seems very impressive, you know.
[00:17:13] Speaker A: Absolutely.
[00:17:15] Speaker B: Wow. That's. That's kind of mind blowing a little bit. You know, I, and I would think that now, you know, attorneys, having heard that kind of thing and, and really looking into it, I would think that they're looking at this going, my word, you know, what can we do? We're, you know, the, the largest, largest firms were the only ones that could get big cases and do lots and lots of things. But seems like now maybe a smaller, you know, a smaller firm with only a couple of attorneys and a couple of legal aides can actually compete.
[00:17:49] Speaker A: Yeah, the paralegals. So most of the time, the paralegals do a lot of the research. Right. But they also, you know, draft the briefs and, and file motions and things like that in court. Because when you Think about it. The attorneys spend an exorbitant amount of time in front of judges. And so, you know, when they're not, somebody back at the office has to be doing some, some of that leg work and enabling a paralegal to be able to really file some of the briefs and things like that and leave some of the research directly with AI. This is going to speed up the process. And you're absolutely correct. Those larger firms, where some of the cases are too large for a smaller firm to take now, they could look at it, and it really does level the playing field by saying, okay, now I only need a couple paralegals and some attorneys and associate attorneys to be able to work through this case.
[00:18:47] Speaker B: Yeah, see, that's. To me, that's amazing, you know, because you've always seen these poor. You know, when you see the old TV shows back in the, back in the day where, you know, these poor guys are just like, you know, having to, you know, eat off the hot dog stand, you know, and they, they can't really afford. They kind of beat it, meet up old car and whatever, you know, and they're, hey, I want you as my attorney. Oh, great. You know, so. But it seems like now those guys can compete on an equal basis. Well, maybe not exact actually equal, but I would say mostly equal basis on. Because of the technology.
[00:19:28] Speaker A: Yeah. At least from the research side, because sometimes, you know, especially during discovery, they. They deliver entire moving bands full of paperwork, and you're not going to be able to get through that. Whereas assisted with AI, you could then know exactly, you know, what your arguments are and, you know, what your precedent is and where you can show, you know, your, your validity of, of your case. Right. So you could be able to really start to look through things that normally, you know, that's one of the tactics of the larger firms is they. They call it a blizzard, is they just send you all of this paperwork and, you know, hopefully you never get to the end of it.
[00:20:16] Speaker B: Just dump it in there, you know, good luck. Yeah.
[00:20:19] Speaker A: Conference room.
[00:20:23] Speaker B: Auditorium, whatever. Right. Toilet, you name it.
So, you know, now there's an ethical situation with this we also discussed before.
You know, how can lawyers make sure they're using AI ethically and not putting their clients at risk?
[00:20:43] Speaker A: Well, there's, there's a lot of safeguards in place, and they use a system called LexisNexis, and they can be able to look at different cases.
The difference with AI enabled is now they can find these cases so much quick, easy, and with a few keywords before they had to have somewhat of a synopsis to be able to search it and to say, okay, does this really apply? And also at the same time, AI never sleeps. So you're looking at all kinds of different databases and as these different decisions are being made in different venues and different courts, AI can stay abreast of that and say, oh, this, you know, this, this was just finalized in this court, in this venue.
So that's information in real time that attorneys can use because a lot of times, you know, judges will look at other judges decisions and, and weigh that and weigh that heavily, you know, because it is, it is a professional. They've, they've, you know, they've earned their robe and, and they're looking at it from, from that perspective. So it could, could save you time, could even save your case.
[00:22:03] Speaker B: Awesome. All right, so having said all that and you're able to use a smaller law firm, is that going to make legal services more affordable and available to more people then?
[00:22:17] Speaker A: Let's hope so. Right, so, so those billable hours should go way down because it's really about, you know, working, working towards and also getting things through because sometimes, you know, things are tied up for years and that doesn't really help anybody. You know, it doesn't, it doesn't, it doesn't help the litigants, it doesn't help the court, doesn't help the attorneys.
[00:22:40] Speaker B: Yeah, well, it helps the attorneys get.
[00:22:41] Speaker A: Billing the billable hours. Yes. And I, and I think a lot of attorneys now are doing success basis that's really starting to get in vogue. And so I think more of your, your younger attorneys coming out are, are a little bit more flexible and agile.
[00:23:00] Speaker B: Yeah. Yeah, that sounds like. So, you know, speaking of young attorneys coming out, what, what do we talk, what do we tell them about building a career with AI, that do they need to learn things special or are they just, or is it going to be taught to them as part of their curriculum?
[00:23:18] Speaker A: Hope so. I mean, let's hope that, you know, the Ivy Leagues and everybody else is already has programs in place, especially ethical AI and looking, looking at some of those types of things in advance because it, it does change the game a little bit because now you have real time access and it just depends on how far you would want to take it. Like for instance, even a judge could use AI to look at sentiment analysis.
So you know, beyond their own, you know, understanding and, and looking at the law, they, they could use an additional tool themselves to say, hey, what do you think?
[00:24:00] Speaker B: Well, I'll Tell you, I will, I will recommend that people consult with you who are becoming attorneys and working with those guys. I mean it's obvious that you know your stuff.
So for those people watching who want to learn more about your work and insights into technology, where can they connect with you?
[00:24:26] Speaker A: Yeah, they, they can email directly. It's SeanxUnlimited.co.
i can be reached on LinkedIn.
So I'm, I'm definitely available and, and as I said last time, hopefully be on another one of your shows. So gotta, gotta keep that hook going.
[00:24:47] Speaker B: Absolutely. Well, we've got, we've got things coming up for AI so, so coming up, AI and factory and warehouse automation. So what happens when machines take over the floor?
Well, we'll find that out next.
And we're back. I'm Jim Bradfield and this is Ever Changing Technology here on NOW Media Television.
Welcome back to Ever Changing Technology.
I'm Here again with Dr. Sean Hamilton.
This time we're focusing on factories and warehouses. AI automation is speeding things up and making operations smoother. But many workers feel that their jobs and their skills are being left behind.
And we just talked a little bit about that with their education and some of the things that they need to be looking at.
So AI powered automation boosts productivity but raises tough questions about job security and worker well being.
So Dr. Sean, how is AI making factories and warehouses run smoother and faster?
[00:26:14] Speaker A: That's a great, great question. And one of the things that you probably haven't even thought about is predictive maintenance.
So predictive maintenance. AI is working on predictive maintenance so that it can figure out the optimal time to, to take machines down.
So before you just kind of had to guess at you, you know, look at the dipstick or whatever it has and then decide, you know, am I going to take this machine offline? So predictive maintenance is one of those things that is absolutely going to automate, automate and optimize the, the process on, on the, the factories.
The other thing is we talked about the overwatch again and the overwatch is very important because sometimes cameras can see things that people can't.
And that could be anything from a forklift backing up and could potentially hit somebody to hitting a product and destroying it.
So having that overwatch where it's looking at the factory floor and making sure that everything's safe and running efficiently is absolutely critical.
Also at the same time, sometimes things don't make their way onto the pallet for whatever reason. Maybe somebody forgot, maybe slipped off the truck. Whatever happened.
You can instantly scan some of that in those barcodes. And then AI can determine if the actual products are on the pallet.
And you got to think about eventually, you know, where you're looking with Amazon and kind of the one click. Everybody's just used to getting their products.
So that just lets a level of efficiency in. And if, if something's missing, it can, it can say that, that the pallet is incomplete and somebody could go back to the warehouse and complete that palette and that that helps also with trust and brand.
[00:28:18] Speaker B: Yeah, that's excellent. That's excellent advice because we've been seeing quite a bit of little robots and things like that. Now they're doing the pickers. You know, they're kind of taking the place of the unskilled laborers that have been running the, the lifts. And they're actually being managed in a control center, kind of like, you know, the big, an actual control center where there's all kinds of guys who know exactly what to do with these people with these things and get them to go exactly where they want them to. They just feed them the information, they're able to pick it, which is really pretty cool, actually. I think, you know, that's, that's a real big deal. I would think it's, it's got to save them a lot of money.
Now when, when we talk about jobs or skills that people need to learn, what, what are they, you know, and let's talk about as pertains to the factories and the warehouses and things like that, especially those guys who are going to be, you know, replaced by a robot. What, what do they need to learn to up their game?
[00:29:33] Speaker A: I would say learn to fix robots.
[00:29:38] Speaker B: Oh, that's excellent. I, I hadn't thought of that.
Excellent.
What other kinds of things with. Should they be looking at for AI to up up their game too? You know, especially the guys who were, they know they're going to be replaced.
[00:29:57] Speaker A: Yeah, I think, you know, just like anything with any type of industrial revolution or, you know, if we're an industry 5.0, you're going to have to kind of reimagine and rethink things. And when the individual that used to be on the conveyor belt is going to be replaced by some type of automation, whether it's a robot or some other types of system, then you have to kind of think ahead and say, okay, where do I bring value to this company?
And that's really any employee, when you think about it. If they really think about, hey, how can I bring value to this company?
And if it's More in the creative sense, if it's a way to say, hey, we could probably increase production here or there.
As long as you're bringing value to a company, a company usually will keep you. And so I think that that's one thing is just kind of looking inward and saying, hey, what can I do to help my company, you know, become successful? And then also at the same time, all of these new adjacent jobs will start to pop up. You know, back in the day, nobody thought about cyber security. Now it's all the rage. Right. So the same thing, these are, these types of jobs are going to evolve and there's going to be different positions for these types of jobs. Like I said, you know, robot mechanic, but also somebody to check programming to ensure the programming is correct and it hasn't been correct, corrupted, you know, things like that are, are jobs that are going to be created because as the automation continues, then most of that code and things like that has to be reviewed. So there's, there's going to be jobs that we're not even thinking about yet.
[00:31:47] Speaker B: Yeah. So, you know, do you recommend that the companies actually try to train their personnel and, and move them up?
[00:31:55] Speaker A: Absolutely. Because you know what, you invested all this time, effort and money in an individual and obviously they've stayed with your company. So figure out a way so that you can figure out what their intrinsic values are. Sometimes people will surprise you. It was as interesting. You meet people along the way and you see them and somebody gives you this doodle that they've drip and you're like, wow, this, this looks like something that should be in the loop.
It really is, I would say, incumbent upon any manager or leader to really understand some of those different tacit capabilities that individuals have and to utilize that. Because yes, if you replace them and you're trying to hire somebody else, you're looking at a three to six month ramp.
And so you're, you're reducing productivity.
But more than that, a lot of these individuals are what I call, you know, key knowledge carriers. And these key knowledge carriers are those individuals that Lee Iacocca always talked about.
[00:33:03] Speaker B: Yeah.
[00:33:03] Speaker A: Ones that, that have knowledge that nobody else has.
So, you know, before you cut them, make sure you have that information.
[00:33:12] Speaker B: Jacqueline. All right. And so, you know, one of the big things that we haven't talked about, we did talk about replacing jobs and things like that. And it sounds to me like, you know, AI is going to re going to replace jobs, but it's going to actually create more jobs because there's a lot of things around that and there's going to allow us to just to work smarter, not harder kind of a thing, right? It seems like, absolutely.
So what about safety improvements? That's one of the big things in a warehouse or a factory, especially that kind of environment. What, what does AI help us with on that?
[00:33:49] Speaker A: Yeah, first I mentioned that predictive maintenance, you know, things like that machines don't malfunction.
That's important. A lot of, a lot of accidents, OSHA accidents happen because of that. The other, the other thing is you have eyes, other, other people looking and making sure that, you know, somebody does something unsafe, that it comes over the intercom and, you know, tells them to look out or pay attention or even shut down the machine so remotely so you didn't have to, you know, get to the person and you know, speaking as a physician, you know, their, their hand is, is crunched up in a machine and somebody's looking for that red button to shut it off. Oh, things like that, before it even happens. Where you could then have the ability to have a barrier, kind of a geofence laser where if somebody got into an area that was, you know, considered dangerous, either the machine shut off or it wouldn't allow them access.
[00:34:56] Speaker B: Yeah, and I think that's a real big deal. I mean there's a lot of factory owners and, and you know, warehouse guys that are really going to have to understand this stuff. I mean, that's a big deal. So, so we'll be right back. Up next, we're going to explore how AI is powering wireless smart networks and what that means for our homes, cities and workplaces.
[00:35:27] Speaker A: Foreign.
[00:35:39] Speaker B: And we're back. I'm Jim Bradfield and this is Ever Changing Technology here on NOW Media Television.
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Welcome back to Everchanging Technology.
In this closing segment, I'm with Dr. Sean Hamilton to talk about AI and wireless smart networking. Now that's one of my favorite sections because that's usually where I work.
A space that's changing how we live, work, and even connect with our cities.
So the challenge is that while AI powered networks make life more efficient, well, they also raise questions about privacy, trust, and the risks of constant connectivity. So, Dr. Shawn, how is AI improving the way our wireless networks work every day?
[00:37:17] Speaker A: Sure. So, you know, first and foremost, before, where we were connected by cables and we were connected by, you know, different devices that were, you know, routers and things. Now you have the wireless routers, right? You basically have routers in the air.
And so these, these different types of connections, you know, some people call it the Internet of things, are already set up to receive wireless transmissions.
So they, they work off of WI Fi.
So your refrigerator can talk to your stove, your stove can talk to your tv, your TV can talk to your Alexa, your Alexa can talk to your phone, so on and so forth.
So basically, a lot of people talk about this called on the Edge, and, and some, some people even call it, you know, fog networks. So, and these are loosely connected nodes that are able to communicate with each other.
So what happens is, is that you have the ability for all these different smart things to communicate with each other.
And from the positive side of things, and me personally, as a busy individual, I'm waiting for the refrigerator that could tell me when I'm out of milk, right? And then they orders it directly from Amazon.
[00:38:41] Speaker B: Wow, that would be absolutely awesome.
Now, I would think that that's a little bit Jetson ish down the future, isn't it? Isn't. Are we, are we anywhere near there yet?
[00:38:55] Speaker A: Yes. Yeah, we are. It's. It's basically using internal cameras on, on refrigerators that can tell you the things that you normally buy and what you're out of.
[00:39:07] Speaker B: Wow, that is.
I mean, that's amazing. I, you know, I, I think one, that, that to me is probably one of the biggest things now. The other thing is, you know, we already do this with all the Nest and all those kind of camera, you know, cameras and all the other kinds of, you know, air conditioning and all that kind of systems out there. You know, you can control that with your app, on your phone, or do all those kind of things. And that's pretty cool. You know, that's been around for quite a while. But I mean, what, what is coming up now where, you know, how do people keep this stuff safe from hackers and cyber threats and things like that? It seems like people would be, you know, susceptible to getting hacked.
[00:39:52] Speaker A: So it all starts with your WI FI password, right? Because that's how they get into your network.
So multi factor authentication and you know, WPS on all your routers to ensure that you're, you're making sure that at least that's, that's your weakest link. Right? That's. Once they're in, they're in. And so your, your wireless, you know, network has to be secure.
And then from, from there I feel that same thing. As I said before, changing passwords once a month, even though it may be a pain, even though the children will say, I can't remember the password. Can you tell me it again and again.
It's so much better than having somebody being able to hack your, your network because everything is on demand all the time.
So information, your computer, your laptop's up, somebody could access that through, through a smart device.
So really understanding that, yes, these are, we used to say back in the day, ubiquitous links. Now they're here and so everything is connected.
But for the forefront, it really is that wireless router password and making sure that there's some levels of proxy in between that.
[00:41:19] Speaker B: Yeah, I think that's probably a good one.
I see a lot of people just do the same thing they do, you know, they put the password down on a big yellow notepad pad right next to the router and go, hey, this is my stuff. You know.
Now are there a lot of risks that people are facing with what, you know, connected AI kinds of devices all around them? Is there, are they more susceptible to that kind of, you know, issue personally as well?
[00:41:55] Speaker A: Yes, because when you think about it, like for instance, your prime account is then connected to the Alexa. So people could then use your account to order things because Amazon doesn't know the difference. They're already authenticated onto the network.
So they could order a bunch of stuff from, from Amazon, you know, and have it delivered to a, a vacation address like I am in, in the Black Hills. And you know, so those are things you just have to kind of keep a mind about. The other thing is, of course all these apps are open and like for instance, your banking apps and things.
So when you, when you give a hacker an opportunity and you're a, a target, you know, they're, they're definitely going to try.
So you know, first and foremost, you know, perimeter protection is absolutely key.
And then, you know, if you're not using the device, if you're, you know, away on vacation at home, unplug the Alexa. There's no reason it should be plugged in in the first place.
So those types of things will really help because now Somebody can't just go from the outside, you know, from your perimeter of, of your house and log in.
[00:43:13] Speaker B: Wow.
Yeah. You know, I bet people don't even think about that. You can just stand there and grab that thing and you know, Lexa, turn on, turn off the alarm. Bonk. Yeah, right, man.
So talk to, talk to me a little bit about the AI powered network that are shaping the future of how we live and work. We already talked about, you know, the smart, the smart appliances and some of those kind of things. And what other kinds of things are we going to have? I mean, we're going to have AI powered cars, right? We're going to have all the smart grid.
[00:43:51] Speaker A: Yeah, an entire grid.
So basically AI enabled everything within, you know, a city or community or municipality so that, you know, if you're looking at autonomous vehicles, everything from that to, you know, over the air communications, we've, you know, we've started to notice that in certain areas like Austin and some other, you know, tech hubs, where all of a sudden you can just get WI fi anywhere, you know, all of these different things will start to be interconnected on a smart grid and that smart grid will then be able to communicate back to even the utilities and things.
[00:44:36] Speaker B: Yeah, that's pretty, actually pretty impressive. Now one of the things that you and I had talked about the other day when we had a, you know, private discussion is what you're doing with your company. And could you give us a little bit of background on that? Give us a couple of minutes of explanation of what kind of things you're offering and, and what you're actually doing?
[00:44:58] Speaker A: Yeah, absolutely. So UX Unlimited is a incubator and we're incubating technologies and advanced technologies, both internal and external. So what we're doing is we're really moving the needle in AI in some of your biotechs and some of your other areas.
So everything in technology that you're, you're familiar with, we're currently focusing on fintech, cybersecurity, AI and actually even fundraising entities.
So what that allows us to do is really garner some of the more advanced IP and technology and bring these companies together and bring them to market sooner. Because everybody is looking for the next big thing and things that are going to make our lives easier. And we feel at UX Unlimited that that is one of our, our watchwords is to ensure that we create an impact for society.
[00:46:04] Speaker B: Wow, that is awesome. Now, is it okay to bring up that discussion we had about when, when people have, know they sign contracts and things like that they don't realize that if they get too good at it and they get so big that they will lose their ip.
[00:46:27] Speaker A: Oh, absolutely. Yeah, that, that, that one's a, a great one. I forgot we, we had a lot of conversations, so. Yeah, absolutely. So in, in these different companies, people don't even realize that they're using AI because they're using chat or chat should you, with questions. And a lot of those questions are coming against their ip, their intellectual property or intellectual capital.
Because now an employee wants to know, okay, how do I create this?
Or I might need an sow for this? Or how do I file a patent for this?
So what that does is it opens up the company to, I would say, data loss. Because the data loss now becomes part of the collective right. In some of these systems, of course, that's how they train their models. So that information now, you know, wittingly or unwittingly has been revealed to the world.
[00:47:28] Speaker B: Wow. Yeah, I mean, to me that's, that is just super scary.
But Anyway, so, so, Dr. Sean, again, thank you so much. This has been very valuable.
Where can people follow your work and continue the conversation?
[00:47:48] Speaker A: Yeah, like I said before, you know, you can email me at Sean UX Unlimited Co, or you can find me on LinkedIn and I'm happy to field any questions you might have and love to have a discussion because with all of us, we, we're all learning and we're all lifelong learners and let's learn together.
[00:48:11] Speaker B: And I'll tell you guys, this man is the most amazing, amazing guy I've ever actually worked with. He, he's got teams of people that know everything about everything. I, you know, you come up with something really weird and, hey, Sean, can you do this? Yeah, dude, I can do that. You know, I was like, what?
Dr. Shawn, thanks again for sharing your insights on how AI is reshaping industries in our daily lives. From the workforce of tomorrow to the legal profession, factory floors, even our smart cities, your perspective is helping us see both the challenges and opportunities ahead to our viewers. Remember that technology doesn't have to be overwhelming. It can be empowering when we understand it and prepare for its impact.
You know, I encourage you to keep learning, asking questions, thinking critically about how AI can be used responsibly in your life and work.
I'm Jim Bradfield and this has been ever changing technology. Until next time, keep asking questions, stay curious, and never stop evolving.
