 Hey everyone, my name is Alex and I am innovation specialist here at live tiles We are extremely excited to be presenting our brand new chatbot to you, which is the live tiles meeting assistant Now this is the world premiere of this chat, but we have not shown this anywhere else And what better place to show it than the AI for good sign. So really excited to be here sharing this with you We've always been a company that's been innovating back in 2012 when office through 65 was released We were the first to create a user experience layer on top of this platform This was revolutionary because customers could drag and drop their way to employee portals and intranets This had never been done at the time this gave us some great customers like Pepsi, Nike, Disney And some really great names within the enterprise space, but since then we haven't stopped innovating So back in 2017 we released a chatbot platform that uses Microsoft's Azure bot framework along with their cognitive service So the live tiles meeting assistant is our newest release in the AI space So we actually had a report run with our company and we've booked over a hundred and ten thousand meetings since we started Now we're a company of 200 people growing very quickly, but we haven't been that size forever And still we find ourselves putting a lot of meetings, especially internally as we're quite a global company But we have offices all over the world. So naturally a lot of internal meetings are going to take place I'll show you what I mean So I work in the northwest of Ireland in a town called Sligo now Most of my work as an innovation specialist supports people all over the world, but generally it's within the UK and Ireland So I work a lot with my colleague Ross Now this is an ideal as we're not in the same office using Dublin and I'm in Sligo about three hour difference for a drive But that said we are in the same time zone. So it does make collaboration relatively easy You begin and end work at the same time every day Now things get a bit trickier when we want to talk with the New York office now New York It's five hours behind Ireland. So we have about three hours every day of overlapping working time So generally when we talk with New York, we try to talk during the three hours when we're both working now Obviously there are going to be times when we have to talk with New York a Bit later and we'd like or they get up a bit early to chat with us But generally we're chatting within that three hour window, which is the end of our afternoon in the beginning of their morning Now you can imagine that our global company calls are a bit tricky as we have offices on both coasts of the United States Offices in Europe across two different time zones and several offices in Australia So this can be quite tricky within our company. So What does this actually look like within our company? Well, our company doesn't look like this. It's not that we're all in the same Office or certainly not even the same country. We're a spread-out Organization our meetings look a lot more like this across many different continents across many different time zones And so this is quite tricky when you go to book one of these meetings What's going to happen is somebody is going to lose out now what this means is someone is going to have to take This meeting well outside of their working hours. So what happens now? Well, if we wanted to book this meeting right now, here's what it would look like We gather the basic information and this would include everything from the meeting topic the You know the agenda the rough time that we wanted to take place. How long we want it to be After we do that, we're gonna add a few participants So we figure out who's going to the meeting add them to the invite We then have to do the hard work which is comparing the schedules now Unfortunately, this is very tricky because as you're comparing the schedules for everyone that you just saw We're trying to convert all the different time zones in your head So you may find a time that works for four to five people for that fifth person said 3 a.m. And they're not going to be able to take that So hopefully you find a slot that works for you and you send out that meeting invite now Here comes the fun part You may have to revise that you may go through all that work And you still have to send out another invite and you're back to step three of comparing schedules And when I asked that question initially about who has Had to spend days or weeks booking a meeting Really you're stuck in this loop anyone who said yes to that has been stuck in this loop of comparing schedules Sending out the invite and then revising if needed, right? So we want to introduce new technology here. We want to change the way that business is done What we're proposing is a meeting assistant that actually uses a neural network and predictive analytics in the background And then from there scan through calendars factors in schedule availability and then from there We book what we call the perfect meeting Now when we go back and look at the way we used to book meetings Looks a little bit obsolete a little bit arcane Especially when you consider the fact that we actually have an autonomous car over there that car can drive itself We're still booking meetings like we did 20 years ago It's not really the best system that we have But we're proposing is a new model Leverage the meeting assistant to book your meetings and the meeting is booked. It really is that simple So I think it's one thing to show For us to talk about exactly how this meeting assistant works. It's another to show So here is my outlook calendar for Friday morning or sorry Friday afternoon as you can see I have an open afternoon Now the great thing about the meeting assistant is it can actually be used by multiple people at the same time So within your organization, you are able to book meetings while someone else is booking a meeting and from there You can have multiple instances running at the same time So I just think that that's kind of worth pointing out particularly as we Go through the demo, but for right now. We only need one and here We'll see that we want to book a meeting. All we have to do is type in the first names of our participants So the two names that I typed in our Agnes and dad now I specifically chose these names because we only have one Agnes within our company, but we have several Dan's So in this case the meeting assistant realizes this and asks which Dan I'd like to book the meeting with So I click on the correct in from there. It knows the participants now I'm just going to collect the basic information everything from time To the date of the meeting. So we're going to go for a Friday afternoon meeting and Then just the last thing which is going to be the title. So we have this title of the meeting We'll just call it review And just like that the bot is going to go behind the scenes level them leverage the neural network work It's magic and from there we can create a unique teams meeting and Just as if we were to book this meeting throughout look We're going to have that unique meeting identifier that unique run that we're able to join virtually So now the bot comes back with the best times for us to meet looks at everyone's calendar Analyzes their previous behavior their availability Recommends three times. We can also check more of those don't work But in this case three o'clock is going to work just fine So we can actually send that meeting request and all that information is captured by the bot And this is a really really interesting experience because if we go back Without having to go into outlook. We've actually just booked a meeting for three o'clock That is completely unique Now what you may not know is we actually just booked this meeting across three different time zones So it's three o'clock for me in Geneva where we are right now It is one hour earlier in London, and it is five hours earlier in New York So we have actually just booked a meeting across three different time zones using a neural network that works for everyone Consider something like a team meeting. That's global may seem pretty easy at first when you start to factor in Complexities like Jim picking up his kids on Tuesdays or Ryan being six hours ahead in a different time zone Complexities add up and work gets complicated This is very very difficult to manage No one's ever going to understand all these little complexities of our life all these things aren't written in our calendars The bot's going to understand when we tend to take meetings and when we don't We're proposing let the meeting assistant help you put the information in Behind the scenes we're leveraging that great AI technology and out comes the perfect meeting When we look back at the new way we're proposing booking meetings, we are absolutely Revolutionizing this space we are changing the way business is done when it comes to booking meetings So what do you do with the rest of this time? run your company Innovate do whatever it is you love We want you to be passionate about what you do I don't think that anyone here is passionate about booking meetings Lifetiles believes the world is a better place when people are free to do their best work We don't think your best work is booking meetings. So we want to free you from this task We're not necessarily trying to make you more productive We're trying to save you the stress the effort the time that's needed to book a meeting, right? Everyone here is very very highly trained people here are very specialized Do something else that isn't booking the meeting Now as far as the roadmap goes we are factoring in external meetings the ability to be able to Include external participants in meetings. This said we are a GDPR driven company This is really our yardstick as far as development. So we want to be sensitive of data. We want to be mindful of that Along with that the bot integrating deploying to Microsoft Teams to be able to use through that platform as well As this bot fitting into the intelligent meeting suite now This includes other technologies such as the ability to transcribe meetings along with Finding the right expert within your particular organization to attend a particular discussion So we do see this fitting into a larger suite of technology So I want to thank everyone for the time My contact information is up there and our marketing lead Paul is right over here to the side So feel free to come by the booth and come chat with us. We're very friendly We're really really happy about this technology. We'd love to talk about this We're happy to finally get this out there. It's a really great work has been done within this space We want to transform the way you book meetings. Thank you everyone