 Now between you and lunch we have one more really interesting talk for a speaker I'm going to introduce in one moment Who's I think ready to go. Yes, Thomas. Are you ready? Fantastic? Excellent. Um, Thomas has joined us from IBM TechTrade and then will introduce himself and what he does a little bit more and Tell you a little bit more about data Before lunch, so I'm going to hand over to Thomas and please give him a warm welcome So, thank you very much very well. I'm keeping you from lunch. So I'll try and keep it To something that interests you so when I was giving this opportunity to Alton, I can only thank you for doing that I was thinking the first thing why should you listen to me because obviously especially after Audrey's presentation this morning about all big companies just want you to Essentially buy from us. I don't think that's the case from me here So as you will have just seen I press the right button. There we go Dane Wendy Hall spoke last year I actually did some research in the conference as well And and she mentioned here about when in her web conference stuff. I'm very interesting big data at the bottom down there She's talking there about how the web has enabled is pushing a lot more data out to everyone And that's part of what I do. So I'm actually part of our big data and analytics team at IBM And then also to top that off as well on Monday just to help me Jeff spoke about What the come the priorities for education were and in that he mentioned as well just in the middle there a Data-driven world and analytics and predictive. So It's not just me telling you that I think this is an interesting topic But there's some key people in education. You're saying this as well And there's another person from IBM actually Kailin Hargrave. You'll see his Twitter handle at the end But if you follow him, he's got some really interesting things to say around this as well And and then the final thing is is there anyone here from London South Bank University? No, okay. Well London South Bank University. I've just invested with IBM and a lot of money But the reason behind that is because they're really trying to empower the student and work with the student This is actually from a press release on their website that if you Google you can find And I'm going to talk a little bit more about LSBU a little bit later so What I'm going to talk about so I'm just going to give you a quick overview of what IBM thinks big data is and That's come from the reason why we are I get qualified is we invest one billion a year in R&D for big data analysis So it's quite a big tranche of what IBM are looking to do in the coming years Some case studies so to go back to Audrey again So actually talk about reality and not fantasy and tell you some stories about where it's actually been used and then Actually talk about where it's been used in education because obviously that's what everyone's interested in So what is big data? Well according to Gartner, there's three major V's you may have heard of these So they are volume velocity and variety and that to qualify to be a big data Problem or or just be big data. You've got to have two of those. So essentially high volume lots of data Velocity how quickly that data is coming to at you and whether you need to analyze that quickly and then high variety so that There's now structured data and unstructured data traditionally We've always dealt with structured data and we've dealt with it very well, especially from an IT company like IBM, but How do we actually deal with this new unstructured data, whether that be social media log analytics those kind of things and Then there's some interesting quotes here so one from Clive Clive Humbie done Humbie data is the new oil It's just it is data is just like crude It's valuable, but if unrefined it cannot actually be used. I think that's really interesting point So if you've just got data data is just data. It's just just a number or or some text essentially Once you can do that analytics and divide that value and where you want to go with it Then it becomes of actually some value to you and then another one from John Nays bit Who's an author and speaker on future studies? He's he's actually pointed out that it's one of the few resources that is Not only renewable, but also self-generating and data will continue to grow and grow and grow now obviously As we've talked about with Audrey and previous Security and privacy issues do do become a part of this and something that everyone needs to think about when they're dealing with data But essentially it is going to continue to grow and there's nothing new about big data data has always been growing That's just been the case for the time what's new about now is the technology that's available to actually do something with that data I Would argue So this is IBM's point of view on the characteristics of big data. So yes, we agree on volume and velocity and variety So volume as it says on the slide by 2020. There'll be 35 zettabytes of data That's a hell of a lot of data And velocity there's 30 billion and this is this is over a year old slide now So I don't whether that number is still actually true. It's probably more in fact Jeff on Monday spoke about them putting RFID tags on toilet rolls and so they can follow him around I didn't I don't know where he got that from but I found that very interesting and then variety So that's a key one for us effectively analyzing That different variety. So again going back to that structure and then structure The extra one that we'd add is is veracity So actually do you trust that data because it doesn't matter if you do some analysis on data you don't trust it then You're not going to trust it. I'm sure you have it in every day The jobs you do I have it I get a spreadsheet I question a few numbers and then I do the analysis and I'm like well I don't trust analysis because I don't trust the data. It's come from you've got to have that and then These bottom two have a little star on them because they're my personal They're not IBM so using the disclaimer we talked about before is my personal view Understand the value of that data source if you don't know what the vibe some data Admittedly is not going to be valuable and you don't want to be analyzing that Some data is very valuable and only you will know that for your institutions or where you work and then visibility Can you see that some of that data? There's a lot of organizations that we talked to actually can't They know they've got the data But they can't see it and they can't get to it in time for when it actually matters to them and what they Want to do with that data? So that's what IBM thinks are the characteristics of big data So let's talk about some case studies now These out from education going to go through but they give you an idea of what the art of the possible is whenever I talk to Different customers about about big data I always try and open up with these just because it gives an overall idea of what the art the possible is so the University of Entire Institute of Technology actually using it for babies and It's a topic that everyone could understand so it's one that I like to use every time a premature I don't know I don't have experience of this so I can't claim but Every time a premature baby is born and they are very likely to have a seizure And the the cure is out there for this seizure It's just you have to give that cure the right time and they'll be fine And most people aren't aware where this is a problem. So The way that they traditionally do it is they have a nurse walking around the world looking at the babies Looking for the specific symptoms of those babies in in the ward Now what they've been able to do with big data is actually you take all the Analysis and all that data feeding off the baby from all the tubes and wiring which I don't find particularly Possible but obviously it needs to be there and essentially all that comes out and they're analyzing that on the fly So as it goes and they're able to identify 24 hours sooner than the nurse walking around the ward Actually when a baby is going coming towards a seizure as well as that they've also identified a pattern to actually Be able to work out a little bit better why those seizures happen. So that's that's helped Save lives in in this warden is something that a you know, we're looking at from an IBM perspective You know what we can do there Now going back to the security and privacy one I was debating about taking this out this morning after Audrey's talk, but I've kept it in because of what it can do now Terry Eccles they are managing. They manage a lot of secure places. So this is actually The in America. They are managing some of the nuclear Education sites. So obviously they've got nuclear particles on they don't want people coming near the site because obviously there's the Protective around that essentially what they're doing is around perimeter fence You would just have usually a guards in the guard tower in the middle looking out And send out people every now and again what they're now doing is they've got sound detectors all around the outside of that perimeter fence And they're using the last two to five years worth of data To actually tell them when someone is approaching so they're analyzing the sounds that are coming in so this is not data in its traditional format I structured logs or or even text data This is actually sound data coming in so they can tell the difference between a fox walking towards that perimeter fence or a tree falling Over 500 yards away to someone actually coming and walking towards that facility And all they do then is they send out the guard to that area and the guard will deter That person from coming any closer because obviously they realize it's a secure facility now I'm not saying that big brother is coming to watch you with this technology There is very specific use cases and where you want to use it But it's just an example of what what that are the possible is And the third one is a very simple one essentially Infrastructure and managing infrastructure. So actually you understand that a light bulb has gone before it's even gone or that You're managing those energy bill forecasting those kind of things All kind of all Available because we're using the massive amount of data that is out there. We're leaving it in its current format We're sticking it in something called Hadoop in this case, but different tools in different instances and using that to actually drive out some outcome and insight that individually these customers have asked for And the final one that I go into because I find it quite interesting anyway Is the smart crime prevention? So Memphis State Police and we're having a three year three percent rise per year of crime in their state and obviously as we all know with Cuts etc. The US is just the same they were struggling with they needed 500 more police Individuals to actually manage that so they actually looked at a different way to approach it. They're using predictive analytics And to tell them based on pre what they know from the patterns of how criminals work Working out the patterns that so they can send a police car to the place where they think that crime will happen That's actually caused a 30% cut now You know, that's you think that's surprising because once the criminals work out that they're working by a pattern They'll start doing some Anomalies actually the way the human brain works You're still working to a certain pattern, even if you're trying to avoid the pattern apparently so I find that interesting. There's a really good advert actually that I'd be able to have done for that if anyone else wants to Look up at that So the more interesting part for you guys is what have we actually done in education? There we go. I apologize for the pictures These are actually pictures from my holiday to Australia because I couldn't find any relevant pictures for this so And This university in Australia has six campuses around a major city Unfortunately, not all our reference case of these allow us to name them But they have a lot of students and they focus on fostering academic performance to gain their maximum benefit I'm actually created an office of strategy and quality and wanted to look at what they could do to actually improve the students who were at the university on On on how they go through that course and have their experience all the way through that university And so they had theories on correlation on why students were dropping out or showing less interest drawing a course these work range from the level of language their gender their entry schools and their socio Economic status, so they decided to measure an absolute monitor With student opinion and coursework and performance and actually work out if their Hunches and what they believed true was actually true And what IBM have been able to do with this predictive analytics tool using all that data that they've collected from previously Identifying the patterns to that They've can now identify risk factors quickly and accurately and can intervene proactively To reduce class failures and dropout rates now When I'm not at this point saying that we remove the tutor or anyone who is involved on the face-to-face basis I agree with Audrey this morning when she stopped talked about actually You know, I remember when I was a lecture when I was at university the face-to-face was what really drove the value for me but if you can Before you're actually aware of it from an individual perspective be warned to a percentage of we are 75 percent certain this person is dropping out because of x y and z because these four people in the past have shown that Correlation of behavior then you can identify to that tutor or individual to maybe, you know It might just be send them the send them an email to say and there are these funding courses available because we know that they're from They might be struggling with finances or it might be the tutor just goes and have a word with them and say are you struggling? But that decision is still made from the institution That decision is not made by any tool that we tell you you've got to go and do this we give you what the What we think the reasons are why and we we can tell you we can help you make that decision But we will not make that decision on your behalf I told you I'd talk about London South Bank University a bit more so They took all of what we call Exceptional student experience We have these leaflets in the hand out in our stand outside if you want to come and grab one But essentially the key part of that exceptional student experience for the South Bank University was all around Predictive analytics and being able to predict when students drop out And they have quite high rate in their personal view of dropouts and they wanted to reduce that They're doing that through several areas including collaboration and how those students collaborate with each other their tutors, etc but The key benefit to them is reducing reducing dropouts American Public University The Open University in in America and they again and this is going back to that point where We're not telling you it's definitively like this We're actually telling you we can predict with a certain amount of certainty and actually on the tool It you know you can build it out But essentially it's telling you we are 75% or we are 80% certain of this so we're not saying yes It's not a yes or no answer. It's a this is how confident we are and you might say well We'll ignore it if we're not over 60% confident. That's fine We're not telling you otherwise, but we are actually giving you a helping hand essentially towards whatever decision you might make And that's again increased retention Again, which to our State University, and I know I'm we're now going to go into four actual US Examples, but as Jeff said on Monday US trends do come across the waters We found and I know that Audrey talked about some of them We don't want to but I think this is actually one that's worthwhile And then how much in County Department of Education actually using it for their and this is a I don't think this is as As relevant potentially, but they are using it for Their teachers and the training courses that they get they go on so they're actually Working out from their schools that their class has And the teacher feedback schools actually which courses that they go on are most relevant to them and which one they're gaining most benefit from And then finally Michigan State University They're actually measuring and using this tool with predictive to say Tom went to Aston University He likes sport I can see that through social media and things when I'm looking for a donor to Donate towards a new mini bus for Aston University Tom is a good person to send that email out to because he's more likely to donate as an alumni Essentially I again it's just predicting it's not telling you it's definitive But it's saying you know this might be better to go to that person So that's the end of my presentation. I'd just like to say we are out on stand six outside That's the that's actual picture from this morning You can get these if you want to talk to any of us Kailin who I spoke about this morning Earlier sorry is the education leader IBM and he does he's done a lot of these talks. I'm actually Unfortunately, I'm a standing for Kailin. So it's a shame. You can't get anybody's on holiday But he does is heavily on Twitter and then there's all our emails on now including my colleagues from tech trader in the middle of the building And who can also answer any questions that you have on this