 So here at the Acer booth and you're showing IOT. Yes. So what are you doing with IOT? So actually we are providing a services called BYOC, build your own cloud. So Acer and Pard build your own cloud with all these companies involved. There's ARM, there's Atmel, all the lots of semiconductor companies, right? And they provide CPUs that work for this. So what are you looking at here? Right, so we are partnering up with the different SOC providers, including what you see here, MediaTek, RealTek and Marvel. So all these companies are quite, actually other than this, we have other companies as well, like XNC, XperiaToe. So while all these companies are quite aggressive, running their products and their strategies into the IOT road, different companies cut into the game with the different strategies and product features. So that's why we need to work with each other to ensure all the platforms are ready. So whoever coming from different verticals, they got their own choices. So what is this one? Is this the Intel one? So yes, this is a hardware platform based on X86. What does it do? So as you can see that it's a box that comes with computing power and huge storage. Like a PC? Well, basically yes. But what the difference is that we are actually putting the most, probably the most welcome to a car The Ubuntu IOT. Yes. IOT optimized Ubuntu, is it? Yes, yes, exactly. And it's actually come together with the latest Ubuntu operating system, code names, snappy. So together with this hot web platform and our SDK, this box is talking to the BYOC at a real-time basis. That's right. So what kind of software are you running here? So actually we're providing the SDKs for people to use and the SDKs is actually talking to our cloud behind. Well, it also worked at the platform level, both at hardware layer and software layer. So is it some kind of operating system for the cloud? What is it? Well, you can set it that way. Is it an alternative to Embed OS or is it compatible? No, no, no. It's actually quite complimentary. So we are also in discussion, we're in touch with ARM and they are also our alliance in the ecosystem. We understand very well the Embed server and the Embed ES. And I think the efforts that are coming out from ARM is actually help facilitate the interoperability of the coming IoT world among different platforms. So we take it as a very complimentary strategic partners other than we're not sitting with each other at all. So what does it mean, bring your own cloud? What is the vision about that? We think in the coming road, both consumer and commercial, there's a need. Of course, you see lots of usage models happening at the public cloud while we do see both consumer and commercials want to lend their critical informations down to on their hands or on the premises. So that means the cloud should be working with all kinds of devices? I think so. And actually, it is our concept to have a distributed computing. Distributed computing happening at all levels. So the computing will be happening at the edge. The computing will be happening like something IoT gateway and platforms. While in another hand, computing will be happening at the back end up to the cloud. So it will be what's it called? Like also on the sensors, we'll also be doing some of the computing, right? Exactly. So for example, you see the medical demo here, the computing will be happening on the edge with like this thermometer. And the computing will be happening in between like this is the patient monitors and computing will be happening at this AB inbox as we provided all go through the cloud, which is invisible here in the cloud. We're also doing some computing. So are you doing a lot of cloud computing? Exactly. So this is another strategic partner that we work with. So the group, the company, so MCon, they are a company specialized in teaching students and all the programmers, a programming language to life goals. So with this life goals, right? So now it's autonomous. Yes it is. It's moving by itself, no controls. Not now, but we have the control app here. Cool. All right. So you can also see that there's a supersonic and the video, the sensor, image sensor here up front. So actually, there's also a voice microphone here, right? So with all kind of a sensor and input output devices, we're actually programmers and can use these platforms programming the very easy natural language which is called Life Code here and interacting through our cloud with the different hardware and software devices and user interfaces. Nice. So it's really important to get all the students into the IoT world. This is a big opportunity for Taiwan, right? Exactly. And this is actually more than just students we're embracing the makers communities. So you can see that the Life Code is very simple programming language while the Ubuntu is probably most welcome, the Linux based operating system, open source, open to the makers communities in the world. So it's very important to get all kinds of companies, maybe in small companies in Taiwan and partners and all that stuff. So it's a lot of partnering. Absolutely, actually it's more than just Taiwan. We're offering this as a reference. I mean, ABing bus come together with our SDK plus clouds of services behind. So I actually open to the global makers communities. And you have server stuff here. And so this is it. This is the end of the IoT demo. Well, actually we have some big data dashboard. Maybe we can go over there and check it out. So what is this showing? So this is the big data dashboard in the big data game, right? The most challenging things because the data is something that you cannot see, right? So number one step for people to work on the big data is visualization. So we're providing different type of user interface like this bar chart, pie chart, train chart that people better understand that how this it can help the business making decisions. So this is called business intelligence portion while we're providing different layers of a big data like this is indicating that how many devices are connecting to the cloud in real time basis. While this one is providing you the heat map, you know, it's immediate snapshot where people can understand how many devices are located in different geographical locations with a real time, you know, service you request the sending to the cloud. Can you explain a little bit how Acer, how is Acer going to make money on IoT? Right, at this moment monetization, you know, in the coming applications and IoT and big data world, we are thinking the winning formula should be as flexible as possible. So as we are helping people to build their IoT stories, helping them to do the operation portion and we are also helping people to transfer all these big data back to their premises. So from this end to end solutions, we have a different type of business model working with the partners from different verticals. So our take is that we want to make it as flexible as possible. Enabling portion, operation portion, data processing portion, it all comes. And devices too, right? Some devices. Right, as you can see, there are lots of hardware and most of, you know, we are coming from the hardware world, although, you know, we've been in the data service business for more than 14 years.