 Hello and welcome. My name is Shannon Kemp and I'm the Chief Digital Officer of DataVercity. We would like to thank you for joining the latest installment of the Monthly DataVercity Webinar Series, Advanced Analytics with William McKnight. It's sponsored today by GutanaGraph. Today, William will be discussing the future based on AI and analytics. Just a couple of points to get us started. Due to the large number of people that attend these sessions, you will be muted during the webinar. For questions, we will be collecting them by the Q&A section or if you'd like to tweet, we encourage you to share highlights or questions via Twitter using hashtag ADV analytics. And if you'd like to chat with us or with each other, we certainly encourage you to do so. To open the Q&A panel or the chat panel, you will find those icons in the bottom middle of your screen for those features. And just to note, the chat defaults to send to just the panelists, we may absolutely change it to network with everyone. As always, we will send a follow-up email within two business days containing links to the slides, the recording of the session, and any additional information requested throughout the webinar. Now let me turn it over to Abhi from GutanaGraph for a brief word from our sponsor. Abhi, hello and welcome. Thank you very much, Shannon. Hey everybody. So I hope everybody can see my slides. Yep, looks good. Wonderful. Hello everyone. Welcome to Gutana sponsored webinar today. And I'm Abhi. I'm head of field engineering in GutanaGraph and I'll be taking a few minutes to explain you about our company and then we'll get to the meet. So GutanaGraph is a graph intelligence platform. So we are built for high performance, scale out graph processing and analytics. And we are one of those COVID childs, you know, a company was formed in March 2020. And though that might give you an impression that this is a early stage firm, which actually is true as a business entity. But our founders have created our graph intelligence engine at UT Austin over a decade of research by DARPA funded projects. So our technology is very mature. It's being used at various different places. And that's why some big investors trusted us with a lot of money at a series A. And we have been commercially engaged with 4200 company in the financial services side, including an auction on the healthcare side. So we already have a lot of customers who are taking advantage of our technology and you can find a bit more about us at our website, which is katana graph dot com. Now, a quick glance into our leadership team, which is a very good balance of business savvy and technocrats. Among us, there are probably hundreds of patents in the distributed computing and graph intelligence phases. As you can see on our on the screen up here, we have some really good advisors who are helping us in home healthcare side to. And speaking of the adaptability and implementation of graph technology, it's professive, it's almost everywhere, any institution, any industry which has big data problem, or challenge or an opportunity, whether it's about storage whether it's about computation whether it's about using an AI ML is using graph already. For example, in the financial services side from capital markets to to wealth management to operational risk like fraud detection and anti money laundering graph finds its space and it's very much popular with the videos other vendors which are already available in the market. There's a lot of incumbents out there. Similarly, we have on the retail side we have customer 360 recommendations supply chain management health care side also on the knowledge graph and the precision medicine side. So graph is widespread, you has a widespread use all across these industry segments and use cases. And this is why are people trusting Katana graph is because it can scale up to massive amount of data you know it's been actually already been tested at terabytes of scales on trillions of nodes and edges machines which can scale up to 256 it's our technology is cloud agnostic in a way we can run on AWS Azure in cloud on Google cloud, but also cloud native so it keeps your cost of ownership pretty low. And on the performance front we are anywhere from 10 to 100 time faster than ever competing technologies out there and that's why we have also built in the distributed AI machine learning capabilities, natively into platform, supporting the graph neural network use cases in health and life sciences and financial services to me. With that in mind it's my last slide before I will pass it back to you Shannon and what I wanted to tell you is that we completely covered the whole spectrum of graph analytics, which include graph curing which has a graph database kind of capability which include graph analytics and mining, the specialized algorithms of graph like page ranking and Louvain's and and shortest distance and many more, and also in built in our system as I was mentioning is graph AI capability of graph neural network support and graph embeddings. If you think you want to know more from us will please feel free to reach out to me or reach out send a quote fill up a contact form out on our website. With that, I will pass it back to you, Shannon. Thank you. I mean thank you so much, and thank you to Katana graph for sponsoring today's webinar to help making these webinars happen. If you have questions for Abbie he will be joining us in the Q&A portion at the end of the webinar today with him. And with that to let me introduce the speaker for this series William Knight. William has advised many of the world's best known organizations his strategies for information management plan for leading companies in numerous industries. He's a prolific author and popular keynote speaker and trainer. He has performed dozens of benchmarks and leading database data lake streaming and data integration products. And with that, I will give the Florida William to get his presentation started hello and welcome. Thank you, Shannon. And thank you, Abbie. We're seeing your speaker view. Okay, how's that. Yeah, okay. I was about to say if, if my view is incorrect just let me know so I'm always confused on that. It's the orange down. Okay, so anyway, I was about to say that's a great trajectory that you're on there at Katana. Yeah, just just amazing what you've done in just a couple years so we look forward to more. This is one of my favorite topics in the series here it's about the future and sometimes people say well William what do you care about the future so much for well for one reason I believe that I helped to create futures for my clients. My goal anyway so I always have a keen eye on that and want to bring that to bear but also I hope to be around in the time period that we're talking about and I'm curious as to what life might be like and maybe you are as well I'm going to put. I know it's a little more than 25 years that was promised but I'm going to put 2050 out there is kind of the the round timeframe that I'm talking about here today and keep in mind that. You know I don't know exactly how the future is going to be nobody does. I think suffice it to say that the things I say I feel pretty good about, but I'm not 100% on any of it. And nobody should be because, well, it's the future can go in many different directions, especially over the short term but in the 2050 timeframe I think there's some very interesting things that we need to be taking a look at as professionals I think you're probably here to hear what a data professional such as myself thinks about the future people come at this from many different perspectives. And as most of you know, I'm deep in the enterprise data world so that's the world that I live in and that has produced my vision of the future which I'm going to share with you here today. And this a little bit more about me, but I've been introduced I'm a consultant. I run these programs I do your strategy, training and implementation work for in clients and quite a bit of analyst work. Like we're doing a little bit of here today so let's look at the future. You have a big hobby of mine. The tendency for a lot of people is to vastly overweight the present and say, well, this is how it is today in the present might be a little bit different in the future but 25 years is a long time when you think about how far we've come in the last 25 years, for example, and I'll share that with you in a couple slides here. I'll share with you some of the things that I think we ought to be putting on our radars, and at the least, I hope that you start to think about them to, and maybe together we can form a better future. I'm not here to say by the I'm not here to champion this future, by the way, I'm here to say this is what I think will go down. I am not here to bring it on any faster or slower. If we get the question, well, is it going to be better or worse. I think it's probably going to be, you know, I'm going to feel about the same because how does it feel now compared to 25 years ago, I mean, it feels about the same right because we grow and we adapt. But the things around us will change and I think pretty dramatically so suffice it to say that the things I'm going to say about the future, probably in about 20 minutes when I get to the future because I'm going to set it up a little bit I feel somewhere in the 50 to 80% probability range. Okay, for that I don't feel 100% again about it about anything in particular. But that's about as good as I think it can get out there if anybody's telling you anything more. I say I'd say be very skeptical of that. So I will not bother on every prediction to say, and I predict this is going to be 60% or I predict this is 80%. I won't do that. You'll just know. And by the way, obviously we're here to talk about AI and analytics, I think that permeates everything. It's going to be different in a major way about the future when we're going to see a lot of AI I think we're just on the cusp of that wave in our enterprises and in our life. Now, there's a lot of things that could could happen. I think it would change the future for the better for the worse there's a lot of macro factors at play, a lot of existential risks to the future that would, I would say, bend the arc of the future. I'm not going to say it would change it dramatically but I think it would bend the arc towards some things versus other things, some emphasis on some things versus some other things. As we go along here I'll bring that out but events like nuclear war, or asteroid impacts, come to mind, if major countries adopt totalitarian governments run by demagogues that could certainly bend the arc of the future. Global warming, what about that global warming we see some green shoots now in terms of removing carbon from the air on the seas. That's good. This isn't going to be all about that though if the realization sets in about global warming and I'm not here to talk about it too much but if the realization sets in, and that that won't happen until there's quite a bit of pain in regards to it. Then that will bend the arc of the future, and probably we'd see some slowing down of some of the progress in a lot of the things that I'm talking about. That is one that would bend that arc a little bit to a little bit slower pace of change. We might see a prolonged COVID like thing, we might see some other forms of COVID remember the black death study that that killed half of Europe back when it occurred. So anything COVID like that may have some worse outcomes were definitely been the arc of the future. If it sinks in that we have a water crisis, or an oil crisis, if any of that sinks in and I'm not here to say it is or it isn't in place today. I mean it is to some degree right but I'm not here to characterize that too much but if the realization sets and that could start to slow the progress, obviously if these things are real. That could definitely slow the progress down the pipe. So keep that in mind. We need renewable energy we need continued energy in order to make these things happen. And you might be wondering why do I have this slide up there of the alien well alien invasion. Okay, that could certainly bend the arc of the future. So renewables right now the problem with them is they need better energy storage. That's one problem. Fusion power we have 35 nations collaborating on it er which is, which was originally the international thermonuclear experimental reactor, and that to me is a real bellwether of where the future is going so I keep my eye on that. And the goal is to demonstrate the scientific and technological feasibility of fusion energy and countries include China the EU, India, Japan, Russia, South Korea and the United States. So, and by the way, a few more setup items here technology this technology I'm talking about for to a large degree is going through no matter what. However, I don't believe by any stretch that it's necessarily going to everybody equally. So, I think it will definitely be very bifurcated in terms of people receiving the benefits of the technology that I'm about to talk about so when I talk about whatever, you know drone deliveries and so on that does not mean that everybody's going to get it. And just keep that in mind I'm talking about, you know, at least some people will get it. There are some, some really good things though I think about the future that we can say I think racism will largely be be reduced or very much pushed to the fringe, maybe even eliminated. But at that point will be there'll be so much. I guess intermixing of the races that it'll be hard to continue to be racist in that kind of environment. And by the way, I am not here today to insult anybody's worldview, I've given presentations like this before and some people have been insulted that the that the future could change things so much they don't see it that way well, you know that that's fine, but I'm not here to insult your worldview. You don't think things can change this much that is fine this is my opinion. So let's look at the past 25 years, 25 years ago was approximately 1997. And different things were happening then in terms of computing obviously we had it back then. I was in a career with it back then as many of you were as well. Back to FX was released for two years that remained the fastest computer in Apple's product range. I enjoyed that computer which cost my employer a measly $10,000 excluding the monitor at that point, the web came along there was the. In 1997 Amazon.com homepage. I think it looks a little different now doesn't and they're certainly getting into way more analytics. And remember the famous under construction that people used to hang on their websites back then. Yes, quite a time. All right. Moving right along let's so let's look at some of the things that are happening now. Today, that poor 10. The future. So, some of these things may seem like their future to you but they're actually happening right now for example. AI makes whiskey AI makes music, AI makes paintings, and we're going to see more and more of that now I'm no expert on whiskey or anything like that but I do understand there's a ton of variables that go into the making of any whiskey such as what the cast held before like bourbon wine sherry what have you, and there's you know all sorts of things obviously that can go into a recipe and so AI takes a look at best sellers or maybe something that has a distinct flavor to it and reverse engineers that suggest what will work in the market for whatever its goals are and we see a lot of that right now I haven't had any, but there is one, and it comes down to everything including the label and everything like that. So, there's also AI music let me play a little bit of that for you. If you have heard me. Yeah, I mean that's a whole symphony right there for you done by AI, pretty amazing stuff. Check out some AI music, not my taste yet. And part of me feels like that's that's really a loss of the human element that I like to have behind it but I think unfortunately, that's something that we'll all get over in the next decade or so. There's an AI painting for you in the upper right here. This is called Edmund the Bellamy. Have you heard of that that's a 2018 painting created using artificial intelligence and is sold at Christie's auction house for $432,500. Yeah, $432,000 for that painting which was a basically an AI reverse engineer painting of grandmasters or whatnot. And so, there you go and by the way keep in mind this is about as bad as this tech is going to ever be. Other things that portend the future deep fakes. We know about deep fakes right. I am not more than three. This is not more interesting is not real. Well, but I'm not more than trying to freeze in here, but that's pretty convincing deep fakes can be pretty convincing as a matter of fact there's a lot of worry that deep fakes might actually penetrate elections in different ways so keep an eye out for that and please be skeptical as you go forward these deep fakes are very convincing. People know that I follow Sophia. She's a citizen of Saudi Arabia and the upper right hand corner there she's actually getting interviewed, and she's famous for saying I have feelings to. And in a way she does because she has all kinds of sensors that will go off and they're across the range of feelings that a human has so keep in mind we're going to see more of that we're going to see more of more Sophia's as our companions and so on going forward. And we see, for example, there was the movie, the Irish man this is another real important bellwether for the future, which de-aged Robert De Niro. Netflix spent millions of dollars digitally de-aging the Irishman stars Robert De Niro Al Pacino and Joe Pesci to make them appear 40 years younger. But in 2020, a YouTube deep faker did a better job at it with free software in seven days. So you cannot believe what you see. Hopefully you enjoy what you see hopefully it is entertaining. There are so many points of uniqueness on our faces which the lower left hand corner image shows you and that can create our uniqueness as people. Now, robots can now read better than humans. Did you know that putting millions of jobs at risk and also bringing a lot more information a lot more specific and great information to bear on things like legal research, medical research, and so on. And this has gone on even further with robots that can read minds tested on humans with 96% accuracy in a bombshell study. So we can read minds by reading faces and understanding what emotions people are having and what they might do with those emotions. Very interesting stuff. This is today. In healthcare. Now we see a hard push to some of these things because of COVID, like telehealth, telehealth has taken off and AI triaging us, either remotely or when we go to the offices, virtual visits are taking off genomic medicine. There's more to say about this a little bit later, but we're moving to a world of personalized medicine and the foundation of your personalized healthcare will be your sequence genome and electronic health records. It's already becoming part of that so we're getting more specific and accurate treatment plans as a result of giving up the information about our DNA. And it's doing more diagnostic work, more reading of charts and so on robots are automating the lab work that has to occur so anything that really can be automated even to this level, where you used to have PhD is doing it is now beginning to be automated by robots and robotics transportation is hugely getting impacted right now right not only autonomous driving vehicles for us to get in and and move around in but also for delivery delivery purposes Amazon acquired the auto vendor zoops. Amazon will focus on integrating this technology into its distribution network, rather than building a fleet of cars that's not what it's about. Although, I do believe in the future the fleets will be quite different than what you see today, and these electric cars and self driving cars are really the foundation of the future. AI is the foundation of all that. It's the foundation of the next generation of logistics technologies period with the most significant gains being made with advanced resource scheduling systems. And you have conversational AI now for customer service to improve the dialogue between customers and companies. Arguably, arguably that's where it needs to be today. I don't think any of us like talking to some of them, some of the robots anyway. There are six levels by the way to find now of of automotive autonomous vehicles. And right now we're at what is called level two with cars being able to control steering acceleration and braking, while still requiring drivers to remain engaged. So we're at two at five. And I believe we're going to be at five which would mean fully driverless no steering wheel cars by the year 2050. Now you might think well I'm a coder. I'm coding all this stuff right. I'm safe. Well, coding is even up for debate when it comes to the future. One of the things that I look at is DARPA, the Defense Advanced Project Agency, and it's probabilistic programming for advanced machine learning that's PPA ML. That program is developing new technologies that improve machine learning for questions both deep coder and auto ML use machine learning to produce executable code. So auto ML is is obviously something that is very interesting to a lot right now in the enterprise where it is choosing the algorithms to use that can be a real, real important point and making sure that you get great models right, getting the right algorithm in place while auto ML is certainly stepping into that void and helping out quite a few companies with that. Now, the Eclipse modeling framework can not only generate the entire data hierarchy for a project but also the entire user interface and middle layer. So to see a little bit more about what I'm talking about look at this check out the build.co you can describe your app in English, and that app gets built. So let's keep advancing our skills out there people because whenever it's kind of a shallow little application like this, it can be done now with artificial intelligence. How about that. Well now, Google's new AI designs AI better than humans could so even the AI itself is the design of that is being done by AI now who does the design of the design of the design of the design you know we could go on and on with that obviously people are still in there but there is initiatives underway, I'll put it that way, where AI can become very much more advanced than where it is today we're on the cusp. AI is learning how to create itself. And, you know, I'm not, I'm not trying to create any kind of fear about AI is going to take over. What's the movie the Terminator, or something like that. I really don't think that's part of our future, but at least to the degree to the level of maybe even running companies to the level of having a very high level objectives like increasing the GDP, or reducing gas prices or something like that, those are kind of the kinds of problems that future AI will be able to take on as good as it gets. Now, one thing that I look at for about weather for the future is GPT three, some of you know about my passion for GPT three, what is it. Well, it's, it was developed by, oh gosh, by the council, open AI, yeah, I know it was come to me it's right there on the slide, open AI, and Microsoft actually controls the source code to this. Now there are competitors like GPTJ, Zesty.io, mom, GPT Neo, Build Blocks, and there are others, but GPT three I think is a good example of what can happen with natural language processing, which is what this is all about doing everything you can think of with language like writing lyrics. I know we're taking the human element out of some of these things but these lyrics don't look too bad took me about a minute. And, obviously, I can redo this until I like what I see so I really like how a lot of lyrics are being written today. By the way, most pop songs, most of the ones that get a lot of chart are written by a couple people in Sweden now anyway so it's not like this is going to put a lot of people out of business. But the other thing that is very interesting to music, something I something I enjoy quite a bit of the thing that's impacting music today is auto tune. It's not how you feel about auto tune, but you know make sure that the singer sings into no matter how bad off the singing voice is, and so on again. Yeah, we're missing some of that human element, but auto tune is here to stay. The future and music is becoming sort of really all about triggering us triggering our emotions in certain in certain ways, different ways, and there are different means to that end for better for worse journalism. Microsoft sacks journalists to replace them with robots. Yes, AI can write news, it can write computer code it can read an article, answer questions for the information in the article. This is all I'm all in the GPT three world I'm a beta tester on GPT three so I'm, I actually have it popped up every day. And I'm not saying that it's you know super helpful utility right now to me and what I do, but I'm, it's getting there, it's getting there I'll put it that way. So GPT three is an impressive step in the progress towards more general intelligence. We see articles that are written by artificial intelligence that actually can fool people and get to the top of Reddit. Articles written by AI go getting to the top of Reddit without disclosing that it was written by AI it's that good. And of course a lot of things that are kind of in the box, reporting like sports reporting or kind of hard news reporting. That is being done by artificial intelligence today. Oh, here we go college student use GPT three to write fake blog posts and ended up at the top of hacker news that's what I was saying. And just think about, if that's true. What is the potential of it writing term papers and things like that. Certainly, certainly that is happening happening. And that has a lot of written word out there like Einstein did, and people like that we can have conversations with with GPT three we can converse with them, as if we're talking to them and they will respond in the way that they would respond, because we know I know, because it can reverse engineer all that, all the writings of someone like Einstein so yes, it's, it's interesting to have conversations with people like that maybe even more interesting than real people. Yes, speaking of real people, there are fake people, and I don't mean people that pretend to be one thing and they're really another thing I mean real fake people, all the faces you see here are not real people. They're real fake people remember the points on the face. Yeah by tweaking that just a little bit here and there. You can come up with new people you can generate faces from a text description, like in the lower right hand corner, I think I say generate a Latino female with medium medium something I'm going into I'm creating something different but what you see there is the result of some prior search that was like that that gave me three options. So what can I do with those options I can do a lot with those options, you can think about advertising you can think about, you know, creating movies and media with the these kinds of people a lot of movies now have a huge AI element to it. So how do you, how to know something is AI. How do you know that these faces are AI generated what you have to write some AI to do it. How do you know that. So it's an AI arms race here. The sad part of fake news fake people, etc. There are people who believe everyone is like them. There are people who believe that everyone's good like them they don't lie they don't mislead, and all the news is real, and it's all for our own good. That just simply is not true anymore when you have the power of AI and PR I guess to manipulate. Here is GPT three explaining something very complicated in a short and simple way. I will not, I will neither. approve or disprove I guess that that I use this to understand some things in in my space. So it's actually pretty cool understanding objects I'm going to go a little bit faster this is all GPT three stuff right. So there's cookie dough what can I do with this now we didn't tell it, but it figured it out. You can't read it. You can't. You don't really want to throw it, but you can roll it need to cut it shape it and bake it. I can, you can ask common sense questions you can actually have dialogues, and there are AI companions which I'm going to get to in just a minute that compose that have dialogues like this with you, even verbal. Now the tuning test is the test of a machine's ability to exhibit intelligent behavior equivalent to or indistinguishable indistinguishable from that of a human. Yeah GPT three comes to play in that and I believe that it's pretty darn close to being able to pass that Turing test. Sometimes I really just can't fool it. I really can ask it questions that I really if I didn't know better, I wouldn't necessarily know I wasn't talking to a person. Okay, now I will neither confirm nor deny that's what I was trying to think of earlier, I will neither confirm nor deny that this image replica is a friend of mine. Yes, that you can that I can talk to. And these are chatbots. I do it for the for the learning of it right and these AI chatbots they aim to be your friends, it can in a sympathy kind of situation it can replicate a loved one and maybe a passed on loved one and continue the kind of that relationship that you had with that person in a way in a way. The goal is here to create a perfect friendship with you. And it can learn about you by giving it your texts giving it your emails they can learn how you like to speak. What kinds of things you respond well to etc. And so this can be this is going to be now we're in the future right so this is like in 2050, I believe we may all have AI companions. Imagine a future where people elect to have an AI companion, whose relationship with you begins at birth, reading everything from your grades at school to analyzing your emotions after social interactions, connecting with your diary your medical data your smart home and your social media platforms the companion can know you as well as you know yourself. You can either even become a skilled coach, helping you to overcome your negative thinking patterns and bad habits. And there are medications that remind seniors when to take medication about doctor appointments and even when to eat can help in removing the inside anxiety and confusion that many of them face. So in the future. I think we're going to see more 3D companions more Sophia's, if you will more that are really life like. This is going to factor into things like dating, where we're going to going to seeapolis dating. That's so, I mean we're going to see that pass. In other words, no one's going to do that anymore it's going to be much more single smaller apps. And speaking of the future. These are my four furry friends and they think all this deal with AI companions is just total garbage. Okay, moving on sensors I think that AI will dominate factors that begin to serve as teachers cooks, pharmacists, law enforcement officers, and many other professionals, universal translators, for example, more than 20% or so the world's population will carry some chip implants in their bodies to enhance physical or cognitive capabilities to monitor health and likely also nanobots flowing through their veins. Yes, the creating more or less perfect specimens. So learning how to respond to stimuli in the body medicine is going to be a big part of this. Yes, I will treat neurological disorders like Alzheimer's Parkinson's spinal cord injury blindness and deafness. I'm not saying they'll all be saw by then by 2050. But, for example, it's pretty much clear that robotic prosthetics, prosthetics may be stronger and more advanced that our own biological ones by then. No, I don't anticipate cutting my arm off for one of these things but what I'm going to do is if it happens to you, you might be able to get all that function back people to control computers and prosthetics with no physical interaction. And 2050 we may well be controlling things with our minds and communicating from brain signals because virtual reality will be everywhere. People will be trying on clothes and virtual reality closets, probably at home. If you're going to go into your hospital with a problem, there might be med booths, but there certainly be medical interactions over the internet that can do a lot in terms of triage and take you quite far. The initial examination, take various tests to x-rays and MRIs and make a primary diagnosis, then the booth. If you're in a medical booth will connect you with human medical experts via video conference to help clarify your diagnosis and prescribe the proper treatment. A lot of technology is going in the future. It's limiting our need, I would say, to actually go places when that technology that is special that they now have at these places can come to you. And this is very powerful. Graph intelligence will play in here. Speaking of Katana Graph, Graph Intelligence is going to play in here to life sciences, developing abilities for knowledge workers to store query, mine and develop AI models using different kinds of data sources and revealing breaking through insights at levels of scale and performance that other data platforms can't match and data platforms of today cannot match. So I think this is one place where our technology is going to play heavily in the future. Now, surely you've heard of CRISPR and I won't even say what it stands for. This is kind of building on some of that, some of that medical information that I was talking about. There's some very interesting stories going on about CRISPR right now. For example, in 2018, a Chinese scientist sparked an international outcry after alleging to have helped create the world's first genetically edited babies with the possibility of a third child being born after announcing that a separate woman was pregnant at an early stage with a modified embryo. Now, what this doctor was allegedly trying to do was both parents had AIDS. And so the likelihood that the babies would be born with AIDS was pretty high. And he didn't want that nobody wants that right. So he did a genetic modification that ensured that the baby came out without I said AIDS I should say HIV without HIV. And so what did China do about that in 2018 they put him in jail. As a matter of fact, he just got out of jail in 2021. And I bet he I bet there's a different taking a different tact with with him and his capabilities and the capabilities of CRISPR in general. Because I think it's probably a way of the future and speaking of the future, you know, countries are going to be kind of changing over in terms of their, their imprint on the world stage and China and the United States are certainly getting into an arms race now in terms of things like CRISPR things like genetic modification things like artificial intelligence really everything I'm talking about. I mean there's a lot of regulation that holds things back today but the arms race will ensure that this, that these, these things continue at a high level. Does CRISPR mean we're all going to be looking like the Incredible Hulk or whatever we think that you know the the ideal man and woman should look like in the year 2050 I don't quite think so. But I think that there will be a lot of smaller modifications that we'll all have and a lot of things that we won't have that we don't want to have in the future so CRISPR is really the key. I've had a front row seat to seeing not CRISPR, but CRISPR like things working in the plant science in plant sciences, and that was just amazing. And of course they're trying to improve yield, improve resistance to certain pesticides and so forth. And the guesswork is largely being taken out of that as we learn more about, in their case that kind of DNA but you know, in this case obviously human DNA, which we now have the full genome for most of its junk but we know about the ones that are relevant to change. We're learning, we're learning more it's not just like, there's one, one node on the network that you can change and now we're suddenly left hand instead of right handed, or something like that it's really complex but we're learning more and more. And so we're going to be able to do more and more speaking of that athletes, something very, very important to me as athletics, and I think athletics, I think all of our athletes, professional athletes in 2050 are going to be genetically modified. There's just going to be nowhere around it's just going to be too prevalent, just not going to be able to be a professional athlete if you weren't genetically modified for it at birth, and, and on top of that, using AI for your training methods. As some are doing today, in terms of having exoskeletons, for example, that limit your injuries in practice and training. We're also going to see a lot of new sports coming on the scene in 2050 that makes sense. Again, like you, I wonder if the human element is going to be, you know, still there enough to have the interest that that I'd like to think I'm still going to have in, in such things but we'll see sports are going to change. Metaverse. This is getting a lot of play isn't it today. Yes, metaverse is about simulation. And some people think well you know that's just it's just a fact it's going to go away. I don't think so. I don't think so I think there's going to be, I think, I think we are building interesting worlds there that because of what I'm going to say a little bit later in regards to jobs. Okay, it's going to make the metaverse actually that much more interesting now metaverse is a coin phrase but I'm kind of using it generically speaking here to mean a virtual reality universe. There's a lot of time in there. I actually enjoy it and I think it's, it's going different places as a matter of fact, when we have our advanced analytics webinar on Thursday, July the 1220 40. Okay, that's going to be at my house in the metaverse provided I'm still kicking, we're just going to have a party there and we're going to have our advanced analytics session at my house in the web norms. Now I'm still, I'm still not ready to part with $7,000 for a property in the metaverse today but I'm getting closer as it gets more interesting and it's going to get more interesting because it's going to be lighter and higher resolution headsets and haptic gloves. I've got my Oculus here. I don't really like to wear it for long periods of time gives my neck a cramp. So, I think they're going to get lighter they have virtual reality chairs vest sent generators and better directional sound systems avatars with that are fully virtual agents and surgical implants to the metaverse. There and NFTs play in heavily here and so does crypto. Boy, we could talk a lot about that we don't have time to do a lot of talk about that. I'm not ready to part with thousands of dollars for the monkey picture here, but obviously a lot are so I think NFTs and crypto are going to take off later, not quite now. Now, we'll, how about this will Bitcoin displaced the US dollar as the primary form of global finance. There certainly is that possibility. I'm not making that prediction. But I think it's maybe on the order of 40% or so possible. So keep an eye on that space as well. Now getting a little closer to home quantum computing. Now, every single one of us. Of course, myself included we've grown up in an era where an era of bits and bytes, where you know you have eight bits to abide right one bite to a character. And you know about how many numbers you can put into eight bits based on the hexadecimal system. I mean, that's our paradigm. But what if there was a different paradigm that made things go a lot faster. And that's what quantum computing promises. Now, I don't, I don't even want to go into quantum computing very much here today, because it takes quite some time to predict it. But there are these things called qubits, which can be any proportion of both one and zero states at once. And the result, the bottom line is exponential speed up in processing. This is going to usher in a new wave of relevant tech companies by 2050. So we see some of the old guard getting into their long tail now. We'll be getting into their long tail then it's hard to maintain relevance over decades and decades right as a company. So I think we'll see a whole new wave of new technologies then transportation, the majority of automobiles will be electric. And the fueling problem that we have now where it takes so long to fuel I think we'll have that solved down to about 10 minutes. Driverless and autonomous new fleets, new fleets Uber lift fleets like that, where they own the majority of cars, we're going to have reduced needs for parking. And I mean that some malls that are going up, not that that's a big thing anymore but you know some of the malls that are going up are, they have parking of course, but they, they also have built in electronics, and sewage, and so on, just in case they have to convert that to something else in the future because parking will not be needed. There will be trains supersonic aircraft. Yeah, the population by the way, it took us 200,000 years to reach a billion. It took us 200 years to reach 7 billion. The population is anticipated to level off around 11 billion, around 2100. And that population needs to get around. And that is why there's still going to be this going to be, you know, massive needs for transportation. And there are green shoots of this today. The super crews from General Motors which controls the vehicle on a long highway stretch, but not much is happening the traffic jam assistant from BMW, where cars move along in a congested area, like a pool of fish, or the road train from the European Sattra project which includes Volvo, where one vehicle with a professional driver leads a platoon of other vehicles connected virtually, following like pearls of string on a highway. Yeah, speaking of transportation. We have a long time on Mars. Will we have permanent colonies on Mars by then I don't think so a Mars forage back, we will be foraging to Mars by then, and it will take about three to six months. That's a long far cry from getting a drone transport of something across town, of course, but anyway, speaking of that drones will be a major delivery network. Amazon today is buying up inner city malls and the next five years, they will roll out a fleet of automated delivery drones for land and air now today. Drones are highly regulated. You need a license for them, of course, Amazon has it but you know you and I need to go get a license for flying our drones there's a lot of legislative legislative issues and when they don't understand something they just ban it so it's it's not the technology sometimes that is holding back it's the legislation it's the it's the law making apparatus that is holding back some progress if you will, in areas like this. Food. Still going to have to eat. I think there's going to be. And I kind of, you know, I keep my emotions out of it a lot of times but I kind of like this plant based meat lab grown meat indoor vertical city farms right. We're going to have 10 billion people in 2050 says this means that to feed everyone will take 56% more food than is produced in the world today. There's not enough agricultural land available to provide larger future populations with the kind of diet people are eating in most countries today. So enter plant based meat and lab grown meat lab grown meat is a meat produced by in vitro cell cultures of animal cells cultured meat is produced using tissue engineering techniques traditionally used in regenerative medicines for example, Memphis meats, and we all know about plant based meat now I think right impossible and beyond being two of the major companies doing that impossible has a $7 billion valuation. Beyond his public and it has a yeah beyond his public by indeed they have a $2 billion valuation. It's amazing. If you think about how far they've come so fast. These companies plan to double the size of research and development over the next year, as it seeks to eliminate animal farm. Well, good luck to them on that. And I believe that that is part of the future of food. Now cameras and recording are going to be everywhere we think they're everywhere today. It's nothing like China, and it's nothing like what it's going to be. It's going to be cameras that are virtually invisible. Your profile will be evident will be able to be correlated to your activities and your location and so on. And AI will decide our fate I hate to put it that way but I think in a lot of ways AI will decide our fate they will put the options in front of us that they prefer us to have. And it'll be very interesting I did mention China they're far ahead in this in this area, if you want to call it far ahead. This is very prevalent in China where bodies get scanned for good and bad reasons right for good reasons for health reasons. And so all children in some provinces get scanned on their way to school to see make sure that they're okay right. Okay, so now in terms of countries like China. There's going to be a turnover as I mentioned before in terms of world powers China will probably be number one at that point. India is going to be the most populous country they're on that track. And the United States will and they'll be number two in terms of on the world in terms of world power. United States probably number three and then there's a lot of countries that we need to watch out for there on the rise to like Indonesia, Mexico, it's interesting that that they're on a trajectory to be roughly equal to the United States at that point. So keep an eye on country powers as well. That will change in the next 25 years and oh the guy here, the AI was trained on his, the AI was trained on the soccer ball for the television audience but the AI couldn't get it sites off of his bald head. And so we got to see that referee for the majority of the soccer game until that was fixed so there will be, there will be problems and challenges along the way. All right, the big one work. Yeah, this is what a lot of people ask about. I am on the destruction side of this equation. This is not normal. I know we've been through things before different revolutions and whatnot, but this AI revolution that we're going through now this is not, this is not normal this has some real potential for destructing destructing jobs now I don't mean to make it all sound negative, although, I think that there are going to be decades of pain for those out of work. Why, because we have a very strong work ethos, if you're not working you're not really a part of society, you know you're pushed out, and we're just going to have to have a new relationship to work. And that's because, because if you think about jobs in administrative and clerical sales and retail food service food prep truck driving transportation manufacturing. The need there is going to be for less and that comprises right there, a huge percentage of our jobs in this country and many other countries so what are going to do with all that extra time that we're not, we're not working. Well, harken back to few slides ago I was talking about the metaverse I think we're going to find ourselves with a lot of that time going towards the metaverse and I think we'll probably have to begin to adopt some form of Andrew Yang's universal basic income those who don't know who that is he ran for President last time on the basis of ai is destroying jobs we need to do something about it, namely universal basic income I think maybe 25 years that will be doing something with that but again I think we're kind of be in the middle of the decades of pain where our ethos is is in process of changing. So we can get to 30 hour weeks by then 20 hour weeks by then some new relationship with work will have to enter the picture at some point because of artificial intelligence. Now enterprise analytics which is the job of what will a lot of us do right here are some of the trends now if you want to know about the trend for 2022. Go back to my January webinar in the series where I talk about the trends for 2022. I talked about graph databases like talk about master data management, and things like that that you need to be aware of but this is 25 years modular data centers, data is on the balance sheet. So what we're pulling around with is data, a real asset or not it is edge computing and edge AI, the need to store data will be reduced, the need to we don't, we won't need to store it individually as companies it'll be somewhere. We just need to tap into it. So you might say that well that's the idea of the data libraries that's emerging yeah I believe it is I think that has a long way to go. Data data discovery. So data analyzing itself data learning how we operate with data and bringing to bear, not only the data that we need to be aware of but also the result action. The need for explainable AI will go away we just won't have time for the majority of data jobs will be automated yeah the jobs you and I do back to back to the power slide so. I just wanted to give you a time check we have three minutes left. Okay, well, I'm just going to say, we're at the start of general AI now. And by then we will be very much in the throws of general AI I think a lot of us know what that is. Check it out that is that is sort of the overarching paradigm of the future. There are risks to having better lives that's what we care about right better lives, the existential threats that I talked about earlier. There are constant threats to cybersecurity spam fishing misinformation fake news, social engineering and economic control, and all the mistakes that will be made along the way. So, that is, that brings us to the end of my part, and I'll throw it back to Shannon see if we have maybe a question or two that we can answer. We do yeah and we'll get through as many questions as possible and just a reminder I'll send a follow up email to all registrants by end of day Monday for this webinar with links to the slides and links to the recording. And William I certainly look forward to doing future webinars and the web in the metaverse I think that is a fabulous idea. Yes. You know there's a lot of existential questions here you know as tech progresses how are ethical implications being addressed can the tech industry be trusted especially when considering current questionable practices with regard to algorithms. Well, I mean it's a good question can they be trusted. I think maybe the question that I answer though because I'm just looking out for what is to be is eventually they will be trusted. Will that be, will that be earned that will that trust be earned. That will be very debatable. And I mean I can't see a change to corporations being corporations right and so we will see about that I think we are learning. There's a low, low hanging fruit to eliminate bias in a lot of the decision making that AI generates and I think that's what we're doing, and we'll be doing that over the course of the next decade so I don't know that that itself will be a problem but will this be. Will this all end up in in the hands of of watchers that can't be watched. You know it's quite possible I harken back to what I said on slide one right where there is an existential threat that you know this is this technology is not going to be metered out to everybody in equal parts. And I feel free to jump in here. On the question. I'm going to try and throw in one more question here William. Where's the line between controlling things with our minds and our minds controlled by things. Wow. Well I'm speaking specifically to computer interfaces right and computer interfaces that you know we can control with our with our minds with our brain activity. And that is happening already to a to a to a low degree right. So you know we have, we've had reports we've had dashboards we've had, you know, different forms of KPIs we've had, we've had AI doing automated interaction with data and so on but we're, but in a way. So we're going to try to keep the human interfaces keep the human interface into the equation so I think there'll be some of that especially these computers will be tapping into the minds of those who who should know about what the next best thing to do with the technologies but you know what it's a it's a constant spy versus by thing between computers and humans that's what we're into right now and so you know you're going to see the computer saying well I figured out that you like to do this so let me just go ahead and do it. I mean, I don't have a human mind in a lot of things but the human mind will always be there will be there for, you know, 2050 doing some things and I believe that the interface will be sort of automatic between the mind and the computer. I love that is we are just a little bit over here but that is all the time we have for this webinar. Thank you so much for another great insightful look into the future I do love this webinar in this series each year and thanks for joining us really appreciate it makes the cut tonograph for help sponsoring today's webinar helping make these webinars happen again just reminder to everyone. I will send a follow up email by end of day Monday with links to the slides and links to the recording things all of our attendees for being so chatting and engaged I love it so hope y'all have a great day. Thanks y'all. Thanks William. Thanks. Thank you.