 Then I know a couple of people are still joining in with one of the vendors, but why don't we begin? So I'm Adam Hodge, I'm the Dean in the College of Science and Engineering, and it's good to see you all here today. So it's my pleasure to introduce today's our center on Internet of Things, Adoption and Business, Newly two decades in the industry, mostly in the UK, Europe, I'll let him go through his experiences with us. But I think Internet of Things is a good example of already widespread technology at the cross-section, intersection of several fields. Engineering technology, the world of data science, adoption and value of business and society, some of the challenges that report to the University of New York. So thank you. Thank you, Ram. Thank you, Ram. So I think five minutes already gone through, so we can start. My name is Artur Vartayan, so I spent around 18 years in IT industry, I walked across in the year in the leading global companies like Dell Technologies, EMC and IBM. And for the last seven years I also work as university professor and teach courses around the transformation, IOT and data science actually. And I want to thank Aram for this opportunity to come here and give this short 50-minute selection around IOT. It's a pleasure to be here and I thank everybody for coming. And today we're going to talk about practical adoption of IOT and business because overall technology is not only the thing we would like to discuss. We want to think how to use technology to change our everyday life. And definitely IOT is one of the things that will make and already making our life different. To start with, I want to start with this guy. This is Albert Einstein. He is a famous radical physicist and also he is famous for being a professor in Princeton University in the United States. And once his secretary was preparing documents for the upcoming exam and he was quite surprised that exam questions were absolutely the same that were used a year ago. So that means that the same students needed to answer the same questions one year in a row. He came to Einstein and asked, why do we ask people the same thing? Why don't we change the questions? Einstein answered, there is no problem with the questions. Within this year the answers changed. So at the time of Einstein physics was developing really rapidly and the things that were quite obvious and common at a certain period of time changed very fast. The same thing is happening with IT industry today. So if someone tells me a year ago that we will have artificial intelligence that can write texts like a real human, I can say it never happens. But it's actually already there. If someone tells me that we will have IOT devices that will be smaller, very small and be smaller than a smartphone or smaller than a chip, I will never believe in that. That means that new technologies have new perspectives and we need to understand that things will change really fast. And let's talk about IOT perspectives. According to the recent study, in 2030 we will have more than 29 billion of IOT devices connected. That means that it's much more than people live today in the world and some predictions are more than 70 billion. So we see that more and more devices will be connected to a worldwide web and making things different. In what is also happening, we see that IOT market in 2023 will reach 1.5 trillion USD globally. For instance, the grain market worldwide is 1.2 billion in 2023. So we use IOT the same that we use grain worldwide. That means that this market is not something that is a small one or something we don't see, it's everywhere. The next thing is about the IOT jobs. According to the study in 2020, the average number of jobs listed per month in IOT exceeds 50,000. So every month we need at least 50,000 new specialists who work in IOT globally. And 5 years ago this number was less than 5,000. So 10 times more. And we see that there is a big potential to find a great job in this industry already now. About the data. It is predicted that by the year 2025 IOT devices will generate 79 zettabytes of data. The total amount of data generated by this time will be 175. So humans will do about 100. Devices will do 79. So that means that devices do almost the same number of information that a human can do right now. So this other perspective means that IOT is definitely changing the world. And applications of IOT in business can be pretty much different. And for instance, I will show you this photo. What do you see in this photo, guys? Any suggestions? What is that? Refrigerator. I think it's a little bit dark here. Underground? Yeah. Well, actually, yes. We have seen a man here, right? There was a man here. A smartphone in his hand. Some food shelves. It looks like a food shelf. Camcorder metro station. It was actually a metro station. So this is actually South Korean metro station. So these guys are going into the train. And this is not a real shelf. This is just like a digital shelf. It's not a real one. It's South Korea because in North Korea, I'm not sure they have trains or retail stores or smart cars or anything like that. But it is one of the UK companies who just started a great project to implement new way how people who have less time and they want to save time on their commuting in this particular example. So a person, when he's waiting for a train, can use his smartphone to order something to his house, to his work remotely at any time and just get it delivered by the time he comes to the needed location. And this is not a real refrigerator, you mentioned it. This is just a photo of different items that they have been printed. And this is just a light and you can use a phone, use the QR code and make the transaction with the needed app. So what we didn't see here is of course we have the video face recognition. So it checks what are the items that are most important for the customers. At which they look more often. So we can track their ideas, they view how they consume things. We also have the optimized supply chain. So that means that the things listed here are based on different things. For example, we check the time of the year, the weather conditions. For example, if we are in winter times, there are some maybe hot dishes, maybe if we are in summer times, there are some cold drinks, whatever. Of course, weather data is controlled by artificial intelligence and we of course have the support of e-commerce. So we have full integration with smartphone. And the funny thing is that all of that is possible with IoT because there are no humans interacting. There are only devices that collect some information and make things like that happening possible. So an IoT and when we talk about IoT or like Internet of Things, it's not a thing, it's a concept. Concept of many basic things of course because all of the things are pretty common today. We have different devices, camcorders, smartphones, whatever. Something that we need to track. We use different sensors that collect data, provide this data through connection to the IT infrastructure where we use business intelligence to make different business advantage decisions. So and this is just a very brief explanation what is IoT. But before I go to the real definitions and maybe some other examples from business, I will give you some history updates about IoT. Well, the funny thing that the first guy who ever thought about it was Nikola Tesla in 1926. He had an interview with Collider Journal, Collider Magazine. And he predicted that in the future the whole earth will be converted in a huge brain. Of course he talked about the Internet. And we will have special instruments that we'll be able to use. And they were so small that we could carry them in our pockets. So he predicted smartphones and he predicted the global Internet. And he predicted that we could interconnect each other in seconds in a respective to the distance. So this guy was pretty smart. I think he comes from the future most probably. But the term IoT maybe the first implementation of the classical IoT was in 1990. It was done by MIT guy, John Romkey. He connected his toaster to the Internet. He made the first thing. He was actually the creator of TCP protocol. He just used this protocol with this toaster just for fun. The first guy who ever implemented the idea of Internet of Things was Kevin Ashton. And he actually was the one to make this term widespread. And in 2008-2009 we saw a new big change in the world. We moved from the Internet of People to Internet of Things. So the number of devices connected to the Internet exceeded the number of people connected to the Internet. And this will be growing much faster if you remember the first slide I talked about. So what is the concept of IoT in general? So IoT is a single network that connects the objects of the real world and virtual objects around us. So it's just like we try to connect something from the physical world and the virtual world. Try to collect some data and try to integrate it somehow to make different business decisions. And there is also some other explanations that is this large growing set of billions devices operating on networks with global potential. And when we talk about IoT, we also talk about connection and many things that integrate. And some features of IoT can be coined into different spheres. We can talk about wireless sensor networks. It's widely used in many use cases, for example in agriculture, which I will be talking a little bit closer. And radio frequency identification or FID, it's a very popular thing. I think you have seen our FID even 20 years ago, maybe even more than 20 years ago, but it is now much more widely used in many spheres. And I will give you some examples of a FID application in retail, especially in new types of stores that doesn't have any cashiers. So cashier less stores that is using RFID technology. So let's talk about the wireless sensor networks. Well, wireless sensor networks is a distributed self-organized network with different sensors, routers, acutators that interconnects between each other with a special radio channel. And this type of IoT applications is designed to remotely monitor something. Some event or some specific phenomenon, for example weather conditions, humidity, like air, pollution, whatever. So you can monitor even the application that you can connect the camera to some kind of things you try to check. It will also give you understanding what has happened. This technology is used to solve many practical problems related to monitoring, management, logistics, whatever. It's widespread and I will give you practical examples where it's applicable. RFID technology is more of identifying objects automatically. So RFID tag helps to track the object in a specific location or in a specific area. So for example, when we talk about clothing retail stores, each piece of clothing has a special RFID tag that is tracking the location of this clothing inside the store. If you take this clothes without paying, without removing the tag, the cashiers, the people who are in the store will be informed that you have stolen it. So this is the first maybe classical implementation or RFID. There are many other implementations here but this is the thing that is making it quite obvious to track things inside separate locations. And we use it in many other ways also. What are the main means of IoT? So what are the main important things, features that need to be implemented to make all of the things working? The first one is identification means. So we need to use some of the technologies that will identify physical objects in virtual world. So for example, RFID tag is a type of identification means. QR code is a type of identification means. Bar code that has some information about the product without maybe any some analytics can be identified with this type of thing. The second thing is the measuring means. Measuring means helps to use these identification means, transfer them to machine readable data like zeros and ones to bind and recode. That can be then implemented to the next stage. Which is data transmission means. It is wireless or wired connection that is used to transfer the data to the next stage which is data processing means. So that means that we have special identification tools like QR codes, RFID codes, radio signals or even classical MAC addresses that we use to make measuring means. So transfer that to machine readable information. Then we move it with wireless or wired connection to our data center where we can use the data processing technology. This is just basic means of IoT. And what are the pros and cons of IoT adoption? In general IoT gives a lot of benefits because we can manage remotely a lot of things. Allowing we have full control of remote operations from different locations and many companies have benefits from that. Without even having people present in some locations. For example in oil and gas industries IoT is widely spread because some companies looking for oil in locations with very bad weather conditions where people cannot be staying for the whole day and even its very distant location. And IoT is one of the tools to help them track that everything is working properly. Also IoT helps to collect analytical data that we previously were unavailable to find. So new data can be generated and actually IoT is one of the key sources for big data today because we can find new amount of data coming from different sources and it helps a lot because new data means new ideas, new things and new maybe strategy. What are the cons of IoT? The first con is there is a lot of devices today and there is no common standard to integrate them into one network. It's a big problem because you need to invest a lot into developing things across different technologies. Maybe someday in IoT there will be something implemented like USB because USB changed the way we use devices today, it's everywhere. So IoT still doesn't have any USB connection, most probably it will be sooner or later. And it's maybe one of the spheres where we can all work because definitely this is still in demand right now. Many things connected to IoT lack energy and they need energy support all the time. It means that could bring some issues to the environment most probably. So we need to have a lot of energy to support the IoT. That is very important. And the last thing which is very popular among movies of the 90s like Terminator or the Matrix that a big huge network that controls the entire world will sooner or later kill everybody. Of course it's maybe just a joke but of course IoT together with artificial intelligence can do things like that possible and most probably devices are connecting between each other and no humans can control them. Someday they will do things that we cannot imagine and already this is on the way. So let's talk about some industrial applications of IoT and maybe some examples from real businesses. So here are some of the very popular examples that is used everywhere. The first one is of course IT infrastructure managed power systems. A lot of companies today especially those working in the solar energy implementing IoT connections to the solar plans because it can easily track the way we can consume more energy from which location we can track it easily. In the industrial IoT when we talk about different manufacturing plans a lot of IoT devices helps to track the performance of different aggregators on different things like different machines. Of course electronic cars have a lot of IoT implementations and self-driving cars of course are only possible with IoT because artificial intelligence is working only when they have more information that is coming from outside world and IoT is responsible for giving that information from the cameras, from the sensor, from the location, from everything. And let's do in precision farming. I will give a little bit more deeper example in farming industry because it's very interesting how we can implement IoT in making plants more sustainable, more effective. Healthcare is very popular right now. Also I will give a very detailed example on the healthcare applications. In e-commerce especially with RFID technology when we can track the location of the good we can track the performance, we can track the logistics schedule and everything. Other examples in smart cities, smart houses, so we can manage the temperature, the lightning, everything actually in terms of housing appliances. Environmental monitoring, so when we can track the weather conditions we can track how we can predict some of the things like earthquakes without you. We can predict things like flooding with these devices. Military application quite popular with different drones and actually a lot of things that we have in IoT today comes from the military application which is quite common across the technology. A lot of things are invested the first time in the military industry and then they move to the, you know, not military use cases. Let's talk about the IoT in agriculture because more or less if we talk about Armenia as a great country it's a country where we can use IoT to make better agriculture. There are some of the examples like climate condition monitoring. So we can use IoT weather sensors that collect various data about the weather conditions and we can choose the appropriate crops that could be sustainable in this weather condition. Here are some examples of real companies who provide these devices like old medias, smart elements and PIKNO, if I read it right. So I will share this presentation, the links inside the presentation. You can check the website, what they're offering. The second option is precision farming. Very popular to make, you know, our crops sustainable. In precision farming we check how crops are growing. We can check the health, we can check the humidity, we can check the soil condition, the lightning, everything. And with that knowing, we can adapt the conditions to make crops growing faster and more healthier and more fruitful. So here are some of the examples of the companies who provide these solutions like CropIx, Mothive and others. So also precision farming can be applied to greenhouses which is very popular so you can track everything inside the greenhouse from humidity to temperature to lightning and adapt it accordingly. So precision farming helps to keep crops alive longer and it keeps crops much more fruitful. Cattle management. It's not maybe agriculture but actually it's connected so we can use different devices to track the animal's location, their health, their temperature, if they are ready to maybe eat or not. So we can track their condition all the time and that means that we can check if there are some animals that are, you know, not healthy, if they have any problems, if they are to distant locations. Some of the examples are here, Scholar and Essier. Agricultural drones. We can use special drones that use surveillance. They can help with planting crops, fighting pests and infections and other applications. So here's a real example of, which can be of course applicable to Armenia because I like Armenian wine and I just wanted to take some of the examples from the wine production. Well, it's not Armenia but it's also a country where wine is good also, it's Spain. I'm not very good in Spanish. I may not name the right name of this, you know, winery. It's Pago Eilis, maybe it sounds like that. But this is a winery that actually implemented IoT in the production of grapes. So they track the health of grapes, they track the humidity, they fight against pests and what are the real implementation they have. They have 25% increase in quality of the product by implementing IoT. They reached 30% return of non-investments by applying IoT and the production costs were used from 10% to 50% depending on the vintage of wine. That means that only applying that technology, you can make your product better, cost cheaper and much more effective. So there will be a link here, so after the presentation you can go there and just read it directly. It's a great example of precision farming actually. It's not a winery, it's precision farming, most probably, but I just wanted to give you some example like that. So healthcare, very popular today because healthcare is something that we all see today because we all go to the medical organizations, we track our health and we know that many things, if we could make some things remotely, that would be great because I have been in the healthcare in the medical center like two weeks ago, not two weeks ago, two months ago, sorry for that. But I stand more than one hour in a queue because many people was coming there and just, if I could do something remotely, that would be great I think for everyone. And IoT is definitely one of the sources to make things remotely because it can help to remote monitoring the patients. So we can remotely connect IoT devices to medical organizations and track the patient's heart rate, pressure, temperature, glucose levels, anything. And this will give us understanding how we can help people much easier. So for instance this Fitbit device is a great example of heart rate tracking and it tracks it all the time and it's connected to the worldwide web and I think Google who owns the Fitbit knows everything about my heart rate and that helps actually Google to provide a better service for me. I don't know which but definitely they will use it someday. The same thing comes for tracking, depression and mood monitoring. I have read recently an article that we are in a pandemic of depression today because many people due to social network are affected by depression and mood problems and they don't know about it. So this is just a very common thing and if we can track it on earlier stages the treatment is way better than in the stages where we are already in depression mood. So there are some devices that can track and collect the data and predict the mental state. So we can actually know if a person has depression or not or have a pre-depression condition for example. Third application is adjustable sensors. It's like eatable sensors where we can put inside our body and we can track a lot of things like stomach pH levels, sources of internal bleeding, many things. So it's used widely to help people in different stomach problems, whatever, running therapeutics is one of the examples of the companies that work in this sphere. Of course the last example is robotic surgery. Well I think I've seen that in the film in the 90s. I don't know, I didn't remember the film but there were some small robots inside the human body that was, well, I think it's one of the new films today is Ant-Man but it's not a robot but the idea is pretty much the same. So very small IoT robots will be inside the human body and they will make some surgery inside the body and that will help people to recover faster. There will be no errors, no problems, everybody there. So Striker Corporation is providing such robots for some blood related problems. So to say, blood system related problems. So another example is healthcare more or less understandable. So let's take another example of IoT in retail. So I have already provided an example of a retail store in Korea. So let's talk about Amazon Go which is a new type of retailers across UK and US. Around 31 convenience stores are open right now by Amazon and Amazon actually did this thing. Each customer can enter the shop with a QR code that is generated in the Amazon app. So there's no people inside the store, it's absolutely cashier less. So you don't have any cashier there, you can check the goods by yourself. You just enter the store with a QR code and once you're in the store you just take any goods from the shelf and all shelves are equipped with RFID technology, with video cameras, with waiting things. Once you take it from the shelf, it is inside your virtual cart which is connected to your Amazon account. And you can put everything you want and if you want to go outside you use the QR code and the sum that is in your virtual cart is automatically deducted from your account. So you just can go there and go outside. If you don't have enough money of course you will not get out. So it depends. So this is the idea how we can implement IoT without maybe using people. So most probably this is the future of all retail stores someday. So we will come to the retail store without anybody and just pick the goods and go away. But of course there are good examples but maybe they're not that popular, maybe they're not that game-changing. So I'm not sure if I have Amazon Go store nearby, I will go there every day. Most probably you see that there's only 31 stores in the world. It's not a very common thing so it's a very new thing. So what are the barriers to IoT adoption why we don't see that much applications in business today? So there are several reasons for that and one of course is the lack of value propositions. So we don't see the full value of IoT today and companies who do IoT are mostly early adopters and they really don't see any value sometimes. So finding the right value is an important thing. Security concerns. We collect all data and we need to protect this data. And protection of this data is not only protection that itself, it's protection from the outside. So if you have a lot of network connected to your data center, someone can use this network to connect to your data center and steal something from you. So that's a big problem that we need to solve. That's why not everybody adopting IoT because of security concerns. The governance structure of the companies. Companies are very bureaucratic in decisions and many companies have no, maybe they have will, but have no power to fight the bureaucratic process to adapt IoT fully. The next problem is business playing prototypes. According to the statistics, 70 to 75% of IoT applications doesn't bring any value. They are unsuccessful. So they can be used. That means that only 25% of real examples of those you have seen, others are not applicable. And the last thing is quite common is that we lack qualified specialists in IoT. So we need people who will work directly in the sphere and develop the industry somehow. So what are the IoT careers today which we can pursue and which are in demand right now? I showed you that we have 50,000 job listings every month worldwide. But which professions have the highest demand? This is what I investigate in myself and just want to give you some examples where we can go if you want to pursue a career in IoT. The first one is cloud engineer. So it's the guy who actually connects digital, middleware with databases and collect the data from IoT devices. This guy is connecting the cloud to the IoT devices. He builds some software and database to make these all things working. So it's most probably developer. So to say, but this is his specialty. Device designer. So many devices need to be designed from scratch because there is not so many applications that we can use in business. And design the IoT device, it's like designing a car, for example, or designing a computer. So it's something that is very important because on the one hand, you need to design software in the right way. On the other hand, you need to design hardware in the right way to make it cheap, lower energy consumption, everything. So these people are really in a big need. Do you mean designing at PGS? Yeah, or less like that. Material specialist. So those guys are responsible for finding which materials should be used for IoT devices to send from them. Maybe it could be materials like plastic, like for example, metal, even it could be organic materials. It depends on the use case. And this is very important to do so. Embedded engineer. So those guys are responsible for developing and implementing software to the embedded devices. So it's more like a software guy. And a network engineer because we work a lot with networks and managing the networks are very important. So these are maybe main use cases. Of course, it's not the only career path they can use in IoT, but those are the most demanding careers. And every salary for this careers exceeds $100,000 a year, which is pretty high for a specialist. And there is very low number of qualified people here. So potential career in IoT is very good for those who want to do one of these jobs most probably. I think I'm coming to a closer end for my presentation. And I think in the end of my speech, I want to give some words for the younger generation. I'm not that old yet, but of course, people who are starting right now have great perspectives. I want to give you the thing guys, I think that you should take these opportunities. You should learn new things like emerging technologies, which IoT of course is. And you should use this knowledge to develop a career path that will bring you to closer to your vision of a successful and happy life. You should work hard and change the world. Because if not ask who, if not now when. So it's the right thing to do and maybe IoT could be a great option for you. So this is all from my part. I want to thank you for your time and passion. I want to thank Aram for making this presentation happening. I'm ready to answer some of your questions. If you have any, we have a think of around 15 minutes. So any questions? Yes. How they were designed for it? How they were preparing to design for it? For example, they have a need for something or they see the client taking probability of something? Well, of course, there are many ways how you can design a product. And if we talk about Dell, because I've spent around 10 years in Dell. Dell is designing product on the client responses. So of course, they collect information from their clients and try to adapt their product design based on that. And they'll have some different solutions in IoT. We talk about the health and better devices which can be used for IoT in telecom industry mostly. And they have special IT infrastructure that will be used at the data processing means for IoT. And the design is also based from the customer's response. So they have a big number of customers who purchase different solutions already. So in taking them, asking them what will be the new product you would like to buy is one of the ways they make a product. And of course they make some products based on their market research. So they check what the competitors are doing. They try to assemble it. So many ways to do a better product depending on what maybe strategy you're looking for. But if we take the largest IT corporations, they have very close products in their portfolio. Mostly it's because the customers want this part to be there. So of course, at the same time they copy and paste the same solutions. And because all of them have the same maybe hardware inside, the difference is also in software level. Any other questions? Yes? The initial discussion and conversation about the future of the IoT. And I remember that one of the most important programs was security. So could you tell a little bit about the problem? What kind of trends now and so what can they expect? Yeah, security, thank you for mentioning the security concern. And actually it was one of the things I mentioned why IoT is not developing that fast, security concerns. When you open your data center to a wider network with maybe all of the devices connected, those hackers can use this network to get to your data center somehow. Because the level of protections of IoT devices is not as good as the level of protection of the inside network nowadays. So I think there is still a big demand of companies who will provide full security solutions for IoT. And those options that we have now still not maybe that effective. What I heard, I'm not maybe too much in the security market, but I have seen that many companies, with whom I work, didn't implement IoT because of security concerns. They said I don't have enough software solutions to protect my network. So maybe this is a potential trend that we will need security solutions for IoT. This is one of the trends where we can invest our time. Maybe new solutions can be coming from here. So that's maybe what I can comment from that side. I'm not very good in solutions on security, but I think there is some, but not many. So is it kind of personal problem? Yeah, I think so, yeah. Yes. I think it's very selling. The solution that we have already is blockchain. And if you create a solution like this, in this case, hackers cannot steal your data because your servers are decentralized. So it's one of the solutions possible. You've got a great example. But blockchain is, that's why it's so much in trend. Because you can't steal actually if you don't have private keys, etc. And maybe for IoT, blockchain should be in addition. Because I'm also working in IoT sphere. I have a startup in NPM. Oh, nice. Yes, that's why we're considering now to have patient data via blockchain. That's a great thing, yeah. Yeah, that's the, I didn't thought about it the first time. Yeah, but it's a great implementation, it gives you the opportunity to protect the data. It will not be encrypted or somehow. So yeah, blockchain is a very good example. Of course, I think that all of the things will be connected like IoT, blockchain and artificial intelligence. This will be one big digital story interconnected with each other. And of course security issues, because we work with data. We want to work with data, with some kind of data. Security issues are very important at some point. Any other questions? Yes. I'm struck by the distance that IoT is creating between the natural environment and the human anesthetic experiments. So you mean what will be the distance? I realize what my concern is that the Internet of Things, given some of the examples, is distancing humans from their kinesthetic experience. Ah, of course, yes. And that that is the diminishment of human capacity and the value of the expenses. Yeah, so I absolutely agree with that, because the more we go into that digital world, the more we lose some of our senses or even change our behavior. For example, there was a great example of the effectiveness of social networks of a human mind. On average, before the implementation of social networks, the time span for the reaction, if you like something or don't like something, for a human was 12 seconds. So within 12 seconds, if you see something, if you like it, you will continue watching. If you don't like it, you will just go away. After social networks implementation, this time span is now 9 seconds, or even 8 seconds. So much lower. For example, fissures have 9 seconds, or the same thing. So we are not that attentive than fissures. And of course, any implementation of new technology will affect our senses and will distance us from different things. I absolutely agree with that. Is it good or bad? I don't know if it makes our life easier. Look at the positive feedback group where you just talked about relative to isolation. And you know that depression is a consequence of isolation. Yes. So you're using a technology to assess the depression, which is based on isolation, but are you not amplifying the isolation by using the digital technology? Yeah. Because I could see a chatbot being used to communicate with the person who indicates that they're depressed, which then is multiplying the opportunities for the depression. Yeah. Yeah, this case in depression, if we remove the social networks, we will solve this problem. We'll solve it with an IoT device instead. So, absolutely true. Maybe it's because everybody wants to earn money from people. So, that's why we are not banning the social networks, like with ban, for example, drugs. Because social networks is the new type of drug, my personal opinion, because it changes the way we communicate, it changes the way we live. Social media networks. Yeah, social media, I believe. That's different from social media. Yeah, social media, I'm sorry for that. Social media network, yeah. That's important, because social media. Yeah, so I think that it is a new way of consuming something. It's like, maybe in the future, maybe there will be some restrictions for that. Maybe, maybe. It's already been imposed, for example, on Facebook there was some infusion on that case in the European Union, because it affects people, mental state, definitely. For its good news, we are going to the Amazon Go store. Well, yeah, maybe they're not going because it's not that widespread. No, maybe it's not, maybe it's maybe the problem of sometimes you implement a technology that is not in the right time. Maybe it's not time for that yet. Or maybe nobody needs it, because as I mentioned, 75% of IT implementations are not successful, because it's not needed. Maybe even some of the examples, like I already mentioned, are not applicable that much for many countries. It depends what you want to get and what is your purpose. Thank you. Thank you very much for your question and for your ideas. Any other questions? Yeah, actually I haven't thought on the fashion side I'm just going to interview for a moment because this is a topic which I've been thinking of lately. And I've been wondering why BR is not that popular right now because I've thought that it's become an enormous, very fertile space for actually incremental diseases. So for example, if a person is at a phobically scared of public speaking you can create this VR space and place him actually into the space to treat this. So when you talk of what do you call this? IoT devices, yes. I think there are two sides of the coin. Social media networks and IoT may lead to isolation and depression but on the other hand you need actually to treat this. Right? Maybe we can develop also IoT into actually treating something that in the first hand was caused by itself. So it leads to depression and then you do something to treat it. So that's debatable. Dependable, yeah. Questions? Do you have some estimation about the total market size that IoT creates and is that number growing? Yes, it's growing. It's according to the recent studies worldwide we spend 1.1 trillion United States dollars on IoT into 2023 that is projected. I gave the example that for example the grain market all the grains worldwide it's 1.2 trillion. So it's like we use the same amount of grain as we use IoT today and it's on the growing scale. Growing I think doubles its growth year over year so most probably we will see it much larger soon. Okay, so thank you Arthur and thank you everyone for coming. Thank you very much. Thank you, thank you very much.