Today’s Youth in Technology on the Future of Artificial Intelligence



well good morning good afternoon everyone and welcome to our June 29 edition of the Sierra systems technology webinar series today we got a real treat for you pre symmetry we got a panel of our next generation experts in AI who are gonna be joining me to talk about the perceptions of AI technology out there in our communities and today's panel has representations of teenagers from across our whole country which is absolutely fantastic so just before we get started in terms of our agenda here I'm gonna take a few minutes just to introduce the topic and really set the stage and then I'm gonna hand the discussion over to our panel to share their opinions the webinars going to run for about 45 minutes we encourage you to ask questions through the questions pane in the go-to meeting interface and we'll try and answer some of those questions when we get to the end of the webinar as well if we do run out of time we'll reach out to you later on this afternoon via email and have a chat to you about answers to those particular questions so just by way of introduction my name is Paul twig and the national technology and innovation leader for Sierra systems and you know being a geek I just love solving problems and speeding life up using technology and AI is such an important discussion point you know as we look more and more to computer-based decision-making predicting potential future outcomes of those decisions and really just automating so much of our everyday life yeah for even our productivity tools that you know in business world we use every single day like Microsoft Outlook you know they're trying to make us more productive through the use of AI with the likes of that new insights engine that monitors my conversation in the email and then tries to predict my future task list and to be honest it's pretty accurate for me at least the you know we're seen almost every client we work with at Sierra systems debate around the different use cases associated with best practices for how to implement and get the most out of AI technology so really begs the question there is AI all that it's took to be you know should it be one of our major focus areas in technology so before I answer that question let me introduce you to our expert panel today so joining me today we got Venice Andersen's of Venice is 14 years old and is going into grade 9 she lives in Victoria in British Columbia and interested in acting writing stage current art so Venice thank you for joining us today on our panel thank you and join us from Winnipeg in Manitoba is fifteen-year-old nos Neil NASA's a high school student in the tenth grade I loves technology and gia is a gnu/linux enthusiast is worked with the Winnipeg Transport API and volunteered as an ambassador of the Spain pavilion during the summer 2018 with four Kurama there welcome – thank you for having me Paul and then our next panelist is Aiden Twiggy Aiden lives in Calgary Alberta is 15 years old and I think today is happy to announce that he's just finally graduated Balmoral middle school with his honours and distinction report card and he's now excited about starting his basketball career I guess with William Aberhart High School in Calgary welcome Aiden monkey and I also have the pleasure of welcoming a good friend fellow geek and just absolutely technology industry expert to our panel today Virginia Ashley works with Microsoft Canada helping partners and customers implement technology solutions across the enterprise Virginia is also an active volunteer most recently I think being a contributor to the Mike's of digital's program which is helping young girls in NIT so Virginia thank you for spending some time with us today thank you so much for having me Paul it's an honor to be here awesome so I hope you guys are as excited as I am for this particular discussion it's an absolutely fun fascinating topic there when we when we look at artificial intelligence I think everybody has a different opinion everybody has a different understanding of it I think people are scared of maybe where it can go and what it can do and I think there's a lot of excitement as well in the technology space and we're gonna hear about all of that today as we look at artificial intelligence so for those of you that are you know joining us from businesses across Canada they're you know I think one of the big aspects of why we wanted to put this webinar on with the opinions and the advice the knowledge of our teenagers our next-generation technologies that we're going to have is you're ultimately we see a generation gap in how we approach technology and it's interesting to see how the future workforce is actually going to approach AI there and really that's what this webinar is all about you know when we sit and we talk to clients you know ultimately we see three waves of AI and you know if we were to look at an AI maturity model for an organization you know I think every company sits in one of these three waves you know that first wave ultimately has been you know analytics triggered all around big data analytical services you know we we hear that term business insights all the time provide me insights you use math to calculate a lot of that information organizations then move into wave two where we actually look at computer aided decisions so we start to apply algorithms to data and then we look to the computers to be able to make decisions there for us but we don't trust them you know we still are making the final decisions ourselves ultimately I think what we're looking for in this wave here is speeding up that decision-making the volume of data you know the trillions and trillions of devices that are out there that are generating data now you know we're looking to make decisions on that data and we need computers to be able to do that ultimately I think when people talk about AI you know they talk about these automated decisions are wave3 and what's interesting is an organization has to go through these three waves you know we typically can't jump straight into wave3 you know maybe the start of community that's something that they are currently looking at but wave 3 is really where machines are actually making decisions you know they're the making decisions the coming to conclusions based on those decisions and then actions are taken without any human interaction so you know I think one of the things that you guys have to really decide is where am i right where is the organization that I'm working for yet artificial intelligence is nothing new I you know I think the term was coined back in 1956 in a conference in Dartmouth there but really it's only been in the last few years where we've seen a lot of the power and the applications of AI come to bear right and right now it's really all about recognizing patterns predicting outcomes and really making these these complex decisions so make sure you understand where you fit they're you know typically I think you know the organizations that we work with at Sierra systems I would say the majority of those organizations fit in wave two we have a few that fitting wait three and one of the quick ways to tell there is you know do you live in a world of proof-of-concept type projects we're still trying to make decisions on whether the technology can be successful because if you are living in that proof-of-concept world you're probably in there in wave two there so I'm gonna introduce the panel into the conversation a little bit now and we'll talk a little bit about AI maybe Nazz I can bring you into the conversation first here your real question is you know what does AI really mean to you and should we really care should we take it for granted um to me AI means the implementation of a intelligent dynamic program that is capable of learning from its mistakes and adapting accordingly I believe that it's quite important that we do care about this buzz because like with any new and by consequence scary form of Technology it will result in a paradigm shift and allow for many new creative implementations of commuter computers for the betterment or potential worsening of our lives it all depends on how it's used I you know I lived that rainy really just depend on on how it's used and later in the webinar we're going to talk a little bit about ethics and you know the ethical side of artifice artificial intelligence but you know especially when we get to the automated point you know decision making how we use AI is going to become really really important there for us you know maybe Virginia I can ask you that same question you know a you live in a world of AI there with many many different organizations you know is it a hype buzz you know should we really care about it what it really breaks down to is with the amount of data work creating as a civilization we need help we need help in terms of computing the massive amount of information that we have available to us so not only is the population expanding but the populations data is expanding we really need to be able to leverage that data to make society better so there's a ton of really great things that we can do and as long as we're thoughtful I think that we can really really benefit from the benefits that AI bring forward brings forth sorry yeah you know and there are so many benefits right that were that we'll see from AI you know all around the automation you know I think of all the mundane tasks that we've got to do yeah it'd be awesome if we had a robot that could take the garbage out onto the street right now for us that we didn't have to remember to do it because computers don't forget unless they obviously get unplugged there you one of the one of the areas that I think really stand out to me all around AI and how it's going to have a big impact on on society is around autonomous transportation and you know we I actually picked transportation for a reason there because it's not just about autonomous cars you know this is autonomous transportation you know if you take a look at some of the numbers on the slide there by 2025 that's just around the corner there the autonomous vehicle or semi autonomous vehicle market North America is gonna be a thirty six billion dollar market for full autonomous vehicles it's gonna be a six billion dollar market right by 2030 across the globe autonomous vehicles are gonna represent a three trillion dollar global market so you know this includes things like ships and you know trucks fleet vehicles that I know Suncor just recently announced in Calgary that they're going to be using autonomous haulage systems you know our trucks that don't really have that have real drivers and that their goal over the next six years is to really start replacing their fleet and you know all around the concept of of safety there you know consider the movement of any Goods in fact if you look at the chart on the right hand side you know that this is a chart that statistic um actually created all around you know why would somebody actually want to buy a an autonomous vehicle and it was interested in that you know the number one reason why somebody would want to buy an autonomous vehicle actually came up that it's actually safer than conventional cars there in other words people trust vehicles or computers more than they trust humans when when it comes to driving so yeah I know as a panel you know in Virginia you not not you but there are teenagers there you know we're all around the age you've just been able to get your driver's license you know and I I reflect back exciting time of my life I want a better drive a vehicle get in it there what do you think about future you know the future of autonomous transportation and do you really think that this is you know something that should be considered by organizations maybe you know Venice bring you into the conversation here what do you think about autonomous transportation it Venice if you if you're on the call you may be muted okay looks like we're having a few technical difficulties there so hey maybe Aiden we can we can bring you into the conversation here about autonomous vehicles as well yeah you know so I know you have your learner's there you know you're excited about getting behind the wheel and driving the vehicle you know what do you think about this concept around autonomous transportation actually think autonomous vehicles are quite again even though even though there's some fun driving there's like I haven't driven a lot but I like I like driving I think this the autonomous vehicles take our society by storm naked like completely take over in society where we no longer drive anymore and I think I think that actually might be a good thing for true for treasons is a safety as mentioned as mentioned earlier so like um when we drive sometimes we're in a rush and sometimes we don't want to obey the rules as much and I think it's great that we have these programs that will always follow the rules that will lead to way less accidents than before and my second reason and I think this is said this is a good thing is the price a lot of people struggle to find ways to get to their work to get to school different things I think that because these things are generally cheaper that would allow more people to get where they need to be easier yeah those are some good points and yeah again if I had a company that you know in my company I had a fleet for being able to move move people around move Goods around that that just you know automatically really was rather robotic in nature one of the things I'd be really looking at now is this concepts around autonomous transportation right you know we can see there from the statisti survey you know here from Ada and I know then he said some great thoughts on this as well ultimately around the safety of autonomous vehicles you know so I think you know one of our first reactions is well hold on what about all the jobs that it's going to take away that way if we start to look at the three trillion dollar global market there the jobs are not going away they're just changing and you know for me I know I live in livin' Calgary I traveled to Edmonton fairly frequently and that three-hour drive there if I could just sit back and let a vehicle do that drive for me and not have to worry about that drive you know that would be an absolutely fantastic thing for me you know imagine how much work potentially could get done well where while we're doing that so this is certainly one one of those super hot topics you know you think about planes and drones you know the the drones alone in the US this is a multi-billion dollar kind of business there it's something that's massively important for us so I'm going to move on to another concept around AI that was seen a lot of right now which is all around this buzzword around smart technologies there you know introduced some some of the concepts that you know personally I'm involved with the Sierra systems or NTT DATA is involved with as well so you know for example smart borders you know a system that can really help look at that detected in disturbances at the border or we call you know smart ports to detect illegal activity smart cities to be able to detect things like gunshots but also make our enables citizens to really use the service easier things like getting on a bus without a bus pass just because you've forgotten your bus pass does that mean you can't use the service oh yeah so one of the one of the points you know that I'll make here is you know autonomous is a buzzword in the transportation industry smart it's really a buzzword you know especially in the government industry but oftentimes when we look at smart it means surveillance right it means using things like cameras and listening devices to identify people vehicles and and how we move around and that can become tough right to say hey are we actually going to allow computers to make that decision you know you think of wave 3 AI that just to give you an example and this is a flagship project coming out of NTT the city of Las Vegas there so the city of Las Vegas city really deployed and they did this with NTT they're a smart edge network of optical sensors sound sensors IOT devices and actually a few micro data centers as well to boost the visibility and support response decisions that were happening down in V in Vegas their goals were to really improve public safety situational awareness and to give you an example of that there they have a couple of one-way streets there they have more than a couple but two that would be coming really problems because of all of the tourists down in Vegas the tourists didn't know the road system well enough and were always turning the wrong way down a particular road and and this was causing all sorts of problems follow man accidents as well and so using the camera system they were able to start detecting when drivers were driving the wrong way down the road and dispatch law enforcement to be able to go and stop somebody and help them get back to safety they're reducing the number of accidents that are on the world so you know we do live in a security conscious world and I know this slide might scare a lot of people it's like you know is this that big brother of the 1984 movie that were that we're living there so you're maybe just reaching out to our panel again and wondering if you could give me some examples of how you think this smart technology could really improve the communities that will and you know maybe throw that question out to Aiden first okay yeah so but as you know like not not all our communities are safe silly there's there's still tons of car going on in a lot of communities around the country and smart technology stuff like smart mortars at the intruder detection and that audio-visual and motion detectors though they'll allow us to keep our communities safer so but we if we are able to see see the intruder or hear it before before it actually happens it will allow it will allow us to alert alert the police and maybe and maybe get away before harm is caused to ourselves or to others who are experiencing this yeah something that you know really doesn't scare you right it's all about safety Nazz how about yourself there you know you're an IT I teach to you tonight enthusiastic you interested in tech that you're really how do you think this kind of technology could benefit is all can it will it benefit is you know is there a disadvantage to it do you think well yes of course there are two major implementations of smart technology that will affect and perhaps prove our lives amazingly but they also serve as goal posts and pilot programs for future uses of smart technology now implementation number one is facial recognition the People's Republic of China is currently working on this kind of AI that works for their social credit program which will monitor its citizens and determine their quality is a member of Chinese society this totalitarian implementation of smart technology is an a very real and according to Business Insider China plans to have the program operating nationwide by 2020 interestingly enough yeah I can actually counteract this monitoring on social media sites in a way there's a fascinating website called this person does not exist comm and it uses a generative adversarial Network which is basically just a bunch of programs taking turns verifying and modifying a face to create a very realistic looking person that doesn't even exist and it can be used to bypass verification that I've come to learn that Facebook has put in their site by you submitting it as a not before seen face secondly as something that was brought up earlier smart important implementation of smart technology to have just a bunch of self-driving cars working together on a road would eliminate the need for things such as traffic lights because these cars would have near perfect reaction time the prospect of no more traffic jams on roads would be an impressive feat that would aid with one of the biggest issues of living in major cities road congestion hopefully once this technology is polished to the point of near absolute safety it could be used on a widespread scale but there's also one more part of a smart transportation that I find particularly interesting so this Thursday Winnipeg Transit is going to have a strike where they're refusing to take fares from their passengers and by having buses operated by AI this would never happen and it would actually fix a lot of the issues that come into play with unions and transportation organizations smart transportation what I liked about what you just said there is you imagine a world with no traffic lights you know I think in England we we try a little bit maybe with roundabouts but yeah there's still still not as effective as you know no traffic lights you just imagine how faster it would be to get somewhere and so yeah that's an absolutely amazing point and you know when I said I know the technical issues are now solved they're there what I'm bringing back into this as well as we talk about these autonomous vehicles and AI and and how all of this really works there yeah is there really a future do you think around autonomous transportation yeah yeah there definitely is and we've talked a lot about safety and they will be able to make options like right away like there instead of waiting and deciding where to go they'll be able to choose the route and go there without having to stall and with ethics there is this ciao a classic trolley cart question where there's one person on the one side of the tracks and five on the other most people have been choosing the to describe to the tracks with one person rather than five and it will usually take them a while sewed with with a self-driving car it would couldn't take them less time yeah absolutely that's the interesting decision isn't it you know as a as a human when you drive in you know where you say well I'm going to avoid all accidents and ultimately we know that's not the case because there's accidents out there and unfortunately people get injured in some of those accidents as an autonomous vehicle now we're expecting a computer to make that make that decision and you know I think we make a decision as a human with a bit of an emotional piece but we also have fear and I know this is one of the points that you that you've previously mentioned when we chatted about this there but a computer will never make a decision based on fear but it can make that decision based on emotion there to find the least impact because ultimately you know one person on one side five people on the other side but there's also the people in the vehicle that we consider as well and so there's three different parties that have the potential for injury and that the speed at which an autonomous vehicle could make a decision I'm pretty sure that they'll be able to make a decision that'd be better than a better than a human there may be yeah Virginia are gonna bring you back into the conversation here a little bit because you know this is an interesting contact conversation when we talk about smart you know we've talked about you know smart education as well you know how can you really see smart technology used more effectively in our education system well more effective my point of view would be making it available period so we're dealing with a group of individuals that have extensive experience collaboration collaborating I can hear it in their conversation right now so when I'm talking to adults about AI there's a sorry guys I know you're adults but I'm kind of breaking it up between teens and adults when you talk about people in my age group about AI there's a lot of fear I'm not hearing any of that from these guys none at all so the point is that our education system to be more effective just needs to put the technology at their fingertips needs to give them loco know code entry points a way to try it out a way to express their creativity and understand what the technology is capable so its exposure that our education systems can have yeah I think that's right you know we got we got to get it into the schools you know yeah simple AI is an example of being able to get into an exam room and and understand which students are in the room aren't are not in the room I think is massively important yeah and various yeah maybe again just to get your opinion of your what about AI in the education system you know where do you think it can be used in is it important maybe where we're having those technical technical difficulties again there so I can take this one real quick you like yeah absolutely go ahead in terms of the education system recently I took my SAT which is one of the two major standard tests used across the United States the other being the AC G and I'm not entirely sure about the AC T but the way that the SCT was conducted was no offense to the College Board keys don't hurt my scores was a primitive when when you sign in you you do it by paper for one and the verification is bismil I thought about several ways that you could easily bypass that just because they accept a school ID which can be easily forged and there's no cameras anywhere either a my testing location now and another thing about this was the SAT is held only a couple times a year and the reason for this is that they have to constantly be pumping out new questions so with a guy it would be a very very interesting implementation if we could actually have SATs that were generated by AI and then verified by them and with that you can have people taking the SAT twelve times a year I think that would be incredible yeah it's an enabling technology at that point isn't it right I've been able to really just get stuff done when we need to get get stuff done right it's not about waiting in the line and wait waiting for something and I think a lot of the anxiety that we feel as a human race these days is is because of that weight right and you know we're forced to wait in every scenario and and I think as we automate a lot of these weight processes these waiting times there will really see human benefit as actually working with a client this week and you know to your point then as you absolutely spot-on they're you know working with a client this week that has massive wait times to get into the facilities and you know we're talking about you know how can we use facial recognition with self-service kiosks so that when people arrive at the facility they can already say a and we can validate who they are and then they can get into that facility without having to wait for all of the people in front of them you know and especially maybe people that are having to ask you a few more questions than than others there so I really really appreciate that you know when I say I think you're able to get back on there now I know where the network the Sierra Network there's been a little tough on you which you know we apologize for there but your talk to me a little bit about education system and AI um well back to like tests and stuff lots of people have cheated or are going to cheat at least once in a test probably so with AI it could be easier to catch the people who are cheating run tests it would also be easier for more teachers to be around so we wouldn't have so we could we wouldn't need subs we wouldn't need as many like lots of classes have emotions drawn into them and that is good but sometimes it's not about what you want so if you have an AI teaching then there will be emotion but not the same amount of emotion yeah no absolutely yeah I think we can take that emotional decision-making completely out of the completely out of the picture there for sure yeah yeah it just make me nervous I I got to be honest you know you look at smart this smart that and you look at all the the controls in there and you know I think to a point that you've all kind of mentioned as we've gone into the webinar here is you know that there is a point of where you know there's a fine line between using technology to do good things versus using technology to control and so you know these smart type types of technology are you know very controlling types of technologies I think ethics really have to become a big part of why we're going to go and implement one of these particular technologies now I know Virginia you know they're Microsoft really feel strongly about the ethics of AI to a point where you know you chief legal counsel Brad smithston a lot of communication in the public about how Microsoft are going to approach a I am the ethics that they will use as the developer AI then I know you know some of the projects we've worked on there we've required privacy risk assessments there so that really we get we're working on the trust factor of AI just wondering if you could share some thoughts around you know the ethical side of AI and what we've got to be careful of so we can really leverage these smart technologies and for sure essentially Microsoft runs on trust so we've developed a set of AI principles which I can assure you will evolve over time but the primary goal is to make sure that we're guided through every part of the process to avoid exposing users to discrimination in health and housing based on their age their color their Creed their religion so it's to take biases out of the equation and that's one of the biggest things that we need to look at so there needs to be a list of ethics and for us it's its guiding principles so to ensure that it's fairness that were including diversity to ensure reliability and safety privacy and security so here Liz using a lot of data and AI and ensuring that people's private information remains is parallel it also has to be accountability for what we build accountability for the decisions that are made through a compute fashion through AI needs to be transparency people need to understand how it works under the hood and again inclusiveness AI needs to be for everyone and it needs to make our society better not worse so we can't allow human bias we can't allow just some of the emotion that we put into things to creep in to a is decision and we also need to think carefully about the decisions we allow a item a given the removal of emotions thank you Paul yeah it's a tough one isn't it is is that right you know up on the screen I got the seven ethical principles that we've come up with yeah that we want you know all of our developers and our architects you know our projects to really live by you know we you know we certainly don't want to be developing AI that it lives in a black box and it's making decisions that cause people to not have not be able to consumer service as an example right we need to make sure that it's auditable right do we understand why a certain decisions made is it predictable right or are we getting different outcomes with every single time it's used yeah and and who the responsibility and accountability of those decisions really fall on they been it's been a great discussion about autonomous vehicles and I really appreciated those comments because your for me the tech is so cool there but there are some super hard decisions that the developers of those AI modules those AI algorithms really have to take on board to be able to make an effective effective product this is one of my one of the most exciting slides that I think we've got there in in the deck and you know it's really you know kind of bringing us up to the end of the webinar you know we're looking at a bunch of AI ideas there you know what can a I do today you know everything from doing anomaly detection with machine learning you know facial recognition transcribing voice you know transfer and labeling voice conversation so it becomes searchable predicting service requirements you know predicting disease or mental health issues and you know you might think some of these things are a long way off all you know this is you know the future ciara systems has worked on every single one of these projects either in a proof-of-concept or with with a client right this is technology that's around today being able to understand object movement and the emotion of of that particular object you know you start to study human behavior and really be able to have a conversation with with a computer in in reality they're you know all the way down to really understanding fraud through looking at anomalous usage patterns lots of really cool thoughts so yeah I I ask the the panel there just to you know prepare beforehand a particular question there that I was interested in because technology's moving so fast so I I asked each of our teenagers there a question the question was your if you were the chief technology officer at Sierra systems if you were the chief techy you know a chief geek there and had the ability to start directing the use of exciting new technology would you drive a I would AI be a part of that and and why so I'm actually gonna maybe reach out to NAS first and maybe now sir have you talked a little bit about that what would you do as a leader well in in terms of applying AI not other things I would start by trying to focus on using this technology to learn to bypass those city of silly little captures and websites like there are the recaptures and I know that sounds a bit crazy and like a really dumb idea but this if Sierra was the first company to actually develop an AI to bypass these CAPTCHAs and this issue is inevitable eventually there's going to be a program that's sophisticated enough to find its way around every single capture you could throw at it now if Sierra what are the first company to figure out a way to bypass these there's a good chance that Sierra could also be the first to fix this inevitable issue of spam on the Internet as a consequence of this new AI and to solve such a major issue as this would be a highly beneficial achievement for any organization yeah that thought process that you just threw out there being able to solve spam right I mean we we have programs where we're purposely throwing spam out to our users there to try and educate them on what spam is and what spam isn't the yeah and we hear all the time people getting caught in it so yeah I love that right that's a fantastic fantastic idea just for anybody on the call if you do start developing the idea please reach out to nows because it was his idea they're nice maybe a dinner I can ask you the same question there yeah if you're the the chief tech here Sierra systems how do you apply a high technology where would you apply it well as you said and you can see this low power pond silence like the prediction of disease possibility mental health issues I studies have shown today that their growth in mental health issues in teens and youth have increased greatly and they say one in three teens will suffer from mental health issues today and this is a huge problem because this is these are the future workers deserve future innovators a future inventors a future thinkers like these these people these people control the future and and being able to detect that world are extremely young could be could be vital to helping our future and so I think focusing on on on stuff like this in the healthcare machines we great I you know you're spot on I spend a lot of time in the homeless serving industry over the last couple years as we've been looking at using facial recognition to benefit that the ambition is as I've talked to the leaders in the industry they're the number one point that they all come back to every single time is if we can solve this problem while these individuals were in the youth they would not be homeless as an adult there and it's understanding those data patterns and those entry points into the system that would really benefit so no fantastic thoughts there and Venice ask you the same question chief geek what would you do well I would probably make technology or work on technology implementing into presentations to help connection and sound I would also use it to help with anyone who doesn't really like presenting so they wouldn't have to they just write up this what they want to say and they have a I say it for them I like the idea that we could have BOTS deliver these webinars there in the future but yeah I think to your point though seriously to your point at you know the point you make is a really important one is that you know if we can use AI correctly it's used to benefit and then able an individual that might be struggling in a certain place there and I think that's key right that's keen essential to everything that we that were doing around AI you're not none of us have perfect traits right across the whole gamut then I think like like you said you know somebody who's maybe struggling with speech or struggling with anxiety when they have to present this is a perfect situation for where AI can really sit and help there so I appreciate appreciate those three ideas and maybe we'll bring bring you guys into one of our technology meetings in the future here and you can start to share these ideas and we'll we'll Co develop them there's some some cool thoughts so just before I wrap up the webinar again just really appreciate what the input that you guys have got I just want to reach out to Virginia one last time here I'm on the webinar just to really share some thoughts with us and with our panel about how our youth today can really get educated in AI and yeah ultimately I think what schools can be doing to encourage this vision that we see from students well I think I've talked a bit about what schools can do and I see that all comes down to exposure is making the tools and the technology available so that students can exercise their creativity I think the more important questions is what students can do so I grew up being told I could be anything I wanted to be when I grew up I think the real point that I missed is that I had to drive that nobody gives you anything so you have to reach out and take it so that means be curious continue to learn use a whole bunch of different platforms so I worked for Microsoft so I'm not going to just tell you to check out the AI and Microsoft products I recommend that you look at a whole bunch of platforms that you check out an open source that you check out Google Checkout Amazon you check out Microsoft as well we have some super cool AI and I'll actually send some links to Paul to include in the responses to the webinar because there's a ton of educational opportunities try things out and take responsibility a lot of technology that I developed today I don't necessarily learn at Microsoft I learned by going on YouTube I learn by taking EDX courses I learn by taking udemy courses I am a continuous learner and if you can develop that in yourself then you're really going to get or and the last point and probably one of the most important point is really work hard at anything the school teaches you that helps you to bring problems down to data so if you think you're not going to use your algebra I think again maybe not the precise equations but the thought process in algebra and math like that is very important to understanding how AI algorithms work it's very cool it's very creative so it's not it's not highly geeky especially with a lot of the tools are out today that are low code and no code options it's pretty easy to try it out and your imagination is the only thing that limits you it's a lot of fun yeah thanks I think I echo that thought right you know we don't we don't have to be that PhD in math to get into AI today you know I know our teams would would share that or resonate with that thought you really don't there's so much education out there you know Microsoft do a fantastic job of creating it align it as well as others as well so I appreciate those comments you know I want to just thank now's venison Aidan for for joining the webinar you know it's something that you know I do fairly frequently I know Virginia speaks frequently there but being a 15 year old 14 year old joining a webinar that's out to business people being able to talk about a topic as complex as AI as competently as you guys have done absolutely fantastic job there and again you know I want to thank Virginia for joining me as well on the on the webinar today it's really been fascinating yeah and I think it drives certainly drives my energy up and make me want to you know find more problems to solve using that AI so you know as you've seen that this really is a bright future of thought leadership ahead of us there so I hope we've been able to provide you with some ideas on how we can how you can address your AI challenges you know if in the least I hope you've really been able to see how you can make effective AI decisions you know my one hope is that ultimately you're not going into AI being fearful or scared of what AI can do but you're going in with the framework that can help you govern how that can how that can work inside your organization if you do have any questions reach out and you know reach out to me via email ask me ask me any question you around AI and we'll get the experts in the room to answer those questions for you just a quick reminder though you know if you are working on defining or implementing your AI strategy or your systems you know Ciara we've got several solutions that can really help you get to where you need to be so you know again if you reaching outreach if you're struggling with that reach out to your account executive reach out to myself so Paul got Twitter NTT DATA comm I'll be more than happy to help help you get there thank you for joining us today we hope you have a great summer the webinars was recorded it's going to be posted on Sierra systems comm later today or tomorrow then you should all receive that email there so thank you and we're gonna resume these technology webinars in September where we're going to really be going back to our grass roots and looking at how we can effectively manage costs in a infrastructure-as-a-service public cloud so thanks for joining us and have a great summer bye bye

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