WEBINAR: IoT Data Management & Analytics: Challenges, Solutions & Trends

welcome everyone to today's webinar on the topic of IOT data management and analytics challenges solutions and trends my name is clueless aleut I'm the CEO here at IOT analytics and I will guide you through today's webinar before we begin I want to do a few housekeeping items this webinar will be recorded and made available a few days after the webinar there will be a moderated Q&A at the end of the session you can submit your questions at any time you can use this Q&A button that you should be able to see at the bottom of your screen all of the attendees are currently muted so you do not have the option to talk but if you want to read you there's a separate chat window that you can use to chat to the panelists and lastly should you have any issues seeing or hearing us please use that chat box send us a message and we will then get back to you and resolve this great let's get started here in IOT analytics we strive to be on top of the latest IOT trends and we have no dedicated report on the topic of IOT data management and analytics which is why we start we'll do a webinar because we have talked about this quite a lot and path pieces of research and we did realize in a discussion we had with Bosch that they have also done quite a lot of work on this topic and we decided to do a webinar together and this is what we're doing today the agenda of this webinar is apart from the introduction which I'll run through quickly in a second we have four different parts the first part is about the state of the IOT platforms and analytics the third one is presentation from bottom like a boss from hardware technology to the connected worlds in the fourth element we will have data management and action and live demo of customer example of data management solution from boss connection and finally we'll have a Q&A session quick introduction of today's speakers so I just introduce myself I'm the CEO and founder of IOT analytics I'm joined today by my colleague Misha Ryker who is our lead analyst for AI and analytics from the Boche side we have Lukas clink he's the digital sales manager and from Bosch IOT inside ed for software innovations and we have al Qaeda Eddie's the product owner of the Bosch IOT insights tool adverse software innovations very brief intro for those of you who have never heard of IOT analytics or don't know what we do we are a market research firm that specifically focuses on IOT and industry for zero we're not financial analyst or analyst firm we are particularly focused on market research and market analysis we produce market reports and have our own research services on six different topics IOT software smart city industrial IOT IOT connectivity and emerging technologies we have sort of a bunch of customers and on the right hand side you can see a couple of reports that we recently produced you can see that on our website and maybe quickly run through the upcoming reports we will have a report of IOT startups very sooner large and the IOT platform n user satisfaction study industrial connectivity we currently working on a piece of 5g and all of this will come out and the next couple of months good state of the IOT platforms and analytics is divided into three parts the first part being an overview of that and then we will look at the user side and the trends as a starting point today we are seeing quite a few examples of successful industrial IOT projects I'm sure some of you have heard a scene the kissing from elevator examples last time I checked the head I think about 170,000 elevator connected by a IOT and they do they have the predictive maintenance service on top of that that's a pretty prominent case another one that I find quite interesting is the hello machinery cave they're selling equipment as a service using IOT data poncy is agricultural machinery manufacturer and they have optimized vehicle health sand and other data with IOT and lastly an example that is close to my heart because we are actually quite close to where this is happening the Hamburg port is tracking ships containers bridges all that kind of things with a smart oil t solution these are all interesting and fairly widely marketed IOT solution and one of the interesting thing is that when you look at it today they all use some form of an IOT platform and IOT platform has many different characteristics but Susan Cooper uses Microsoft Azure hell I use the Siemens mine sphere phones are users Porsche and the court in Hamburg uses a piece of PSAP Leonardo stack and and that is really something which is I would say almost fascinating because if you take the Google trend graph that we for IOT platforms you can see that this topic was essentially non-existent until 2030 2014 and since then it's had a steady rise and u s– now see continued interest and the reason that is you can see on the right hand side IOT platforms play an important role in the overall stack they connect essentially anything from hardware to the application and when you talk to people that are using these platforms you realize that they say well it's quicker and cheaper to do this than actually building all of this by myself it makes it simpler for people who are not as deep into the topic and the whole topic of where do I do it edge cloud all of that gets simplified so you see this rise of the IOT platforms and we've covered this since 2015 from a market research point of view and we first at 265 from providers recounted this went all the way up to about 500 last year we're haven't concluded our research on this this year we think we'll will probably be at 600 we still see new startups in the space coming up all the time pretty crazy actually just listing a few of the ones that have more of an industrial focus there's no just a selection but there's really quite a lot and this is an area that has continued interest and place a continuously important role if you look at the stack and you look at kind of what's in it there are we see six different groups of platform services even though the first one is more of an infrastructure cloud back and industrial data connectivity anything that is telecoms which is more around building the the connection and things like that device management which is about over-the-air updates and controlling firmware application ableman which is about making sure that people can actually build something with this platform and that all these into advanced analytics all the way to AI and today we're going to cover this chunk so the bottom of this as well as the top of this and everybody looks at it somewhat differently this is sort of our consensus and everybody says yeah this fits with us this fits with us yeah I mean this is this is what we're taking as a starting point today so breaking that a little bit more down these elements that are just highlighted if you look at what's happening is and you just take AWS and and Microsoft Azure which are undisputed at the forefront of doing some of the IOT services and have seen a lot of interest for their solutions in the last year both of them and 2015 came out with an with a general IOT platform AWS was slightly quicker than the Microsoft but if you look at it generally from a data management and analytics point of view and data management analytics here is subdivided into general data management event management distillation tools tailored analytics analytics isn't winners AI machine learning all of them has developed some sooner some later different different tools and this is going on all the way until now essentially and so you see that the bunch of this data management analytics is actually fairly recent and the service is launched and used by people is also very recent this is not necessarily complete as there's other tools ago that were announced previously and there's obviously add-ons that are not part of the core platform but it gives you a good overview ER but that there are quite a lot of different things people can use for data management and analytics so at this point we switch over to the user view and I'll have my colleague meter Rykov explain his view on this I'm just gonna yeah Misha can you hear us give me one second on YouTube yes so now we will start our data management over overview with the benefits and I'm sorry it's slides are changing a bit slower so it will take a bit yeah so let us look at the main benefits of good data management and analytics cost reduction is still number one benefit and beaches the use case of predictive maintenance or beat the use case of acid optimization cost reduction is still number one benefit that the end user get safety and better resource allocations are of course also really important benefits and together with them come such things as compliance operational efficiency improved health of portfolio improved culture which leads to the overall drive of digitalization of the industrial acids and so on then if we look at how data management and analytics are implemented from the point of view of of the end user or data scientist we have seen nine key consideration and we have divided them into three categories and the typical flow is you start with data management itself then you dive into analytics and then you dive into some use case analytics in this case we show the example of predictive maintenance so the main questions that a decision-maker has to answer start with what are the data security requirements and then how do they process my days and then both what are the requirements on the data itself then what level of visually Jason do I need yes so this is the court is the desert Management Corp from which you can you can then move to what type of analytics do I need to and then what analytics method or use speed machine learning or or just simple statistics and then if you look at the last three here for predictive analytics then you deep dive into which strategy you want to to choose Beach you want to find remaining useful life or just look at when when and it richer probability your asset is going to fail and how you do this data imbalances and so on now let's keep diving into what are the data requirements as these are what we believe at the main is is the most important part of what data management is about so for a good model data needs to be relevant sufficient and of high quality and if we speak about IET beta in particular for the for ensuring the data is relevant to you you have to you have to use domain expertise a lot and then it it sometimes needs answering the questions like do I have to retrofit my sensors to to get more data what kind of acid data do do I need to to get from the asset like is it is vibration data if the temperature theta is the combination of both and then of course what kind of historical base do I have to combine my data with you had to get relevant data then if we speak about petitions again in case of AIG DRA is usually too much data not too little dictator and then the question is how do you how do you ensure that you can work or your data scientist can work with that high level of a Buda of data and when you speak about quality of data it means eliminating noise and their imbalances for instance in case of predictive maintenance this would be ensuring that you have enough of failure date in your data set now let's look into the main trends we have found five of them these are everything is becoming predictive so predictive analytics solid is leading the show now then a revival of basic statistics entwistle elevation which means that in most cases users still like simple stats and of course cloud computing increasing use of machine learning and AI and digital twins when we look at four type of analytics or a descriptive diagnostic predictive and prescriptive they are categorized depending on what kind of question they answer then a predictive analytics is dead but answer the question what is going to happen in the future predictive maintenance would be the biggest use case of usage of creative analytics in IOT in this case I here on here is an IT example you can see the charge when the remaining useful life is predicting for a machine and if you look at the visualization here to behave actually a data point this general dashboard entries organization is the second largest use case for reach and user use IT platforms at the moment behind general process of optimization and here on the right side you can see how actually powerful visualizations even with simplest dashboards are in IG you can build for for fleet tracking you can combine that reports for speed for fuel and to the map you can you can visualize the whole assets and type 3 with the use of 8 so in IOT now and in the future visualization coin true to only grow as a trend and now I hand over back took note for a summary thank you good great Thank You Misha so just to summarize what we just discussed in terms of research presented today first of all IOT platforms have become a key unifying element of IOT solutions we discussed for such solutions there are close to 600 platforms now 7 different groups of services are highlighted because they are relevant for the webinar today leading cloud vendors have led the development and in the last two years we discussed AWS and Microsoft cost reduction is the main benefit of good data management and analytics we discussed nine consideration and five overarching trends and with that we want to go a little bit more into what does it mean on a practical side and we'll hand it over to the guys from Bosch I'm handing it over to Lukas clink who is Ed Bosh and Lopes you should be able to speak now and you have control over the slides as well in the meantime I just want to remind you that three if you have any questions – in the Q&A we will try to answer them at the end of the session thank you for handing over hi everyone this is Lukas of Poe software innovations now we get to into deep dive like a Bosch boss commonly known as one of the key suppliers for the car industry and one of the biggest provider of for example power tools but Bosch is changing changing from a hardware manufacturer to a hardware technology company boss is doing now IOT the Internet of Things we started as a pretty conservative company but we're now transforming to a connected world so IOT is the core strategy of Bosch and if you haven't seen it check out our new spot with Sean on YouTube you're gonna love this video and it totally reflects where Bosch is heading at anyway we wanted to get a deep dive into IT solutions and area IT solution needs a technical basis and that's what we are here for today the technical basis of IOT solutions that we build is the Bosch IOT Street in the past we always had to start from scratch when we were building IT solutions with Bosch IOT sweet we leveraged the IOT knowledge within Bosch and connect various devices in the four quartermaines mobility solutions consumer goods industry and energy and building technology with the Porsche IT suite we provide our customers and partners internally and externally with a comprehensive software platform for the IOT the platform consists of various cloud services software packages all aiming to help IT developers create implement and also maintain IOT applications in a in a fast easy and secure way so to sum it up the bus T suite is comprehensive toolbox especially for IOT developers but what are the elements of the boss a three sweet how can I utilize them how can I use the boss IOT sweet I will not go into every detail of the boss at least wheat because today we want to have a closer look on data management but nevertheless I want to sharp your senses for our platform if you think of this picture as an IOT solution you always would have to start with the device which is illustrated on the bottom of this picture it really doesn't matter which device you connect it could be anything between a camera a driller or awesome washing machine and so on but as an end user you want to have data of the device in the cloud and you want to work with this data online and in order to get this data in the cloud you always need a connecting point in the case of the boss ITT Suites the boss IT hub is this connecting point the hub handles various protocols and serves as a translator for all the other displayed services on this slide polite heat things can then use the receive data and turn the data into information this information is our digital schwinn service a means that from this point on you can see the status of you device in real time at any place of the world but we already heard in most IT solutions this is of course not enough so this is why you would have now the option or you would now have several options to build on top so we offer the full stack from device and software update management in our case it would be the IOT manager and IOT rollouts to data management in our case Porsche IOT insights the data management provides the basis for optimizing your connected devices and functions and moreover it has essential to develop new services and solutions so you can literally use the service to process data cannot generated by it by any device but Paul will go into more details later and of course you don't want everybody to get access to your device and you don't do not want everybody to manage your device for this reason we use Bosch IT permissions and last but not least the analytics service allows you to detect anomalies within your data set but enough said about now about the Bosch IT suite let's take a closer look on Pascha IT insights we first want to talk about where Bosch RT insights does come from and what Bosch IT insights is capable of as you can see on this illustration Bosch IT insights started SS fde in 2013 with a first project in the automotive sector in connecting over 100,000 devices so growing with more and more projects we established as if t e as a cloud service and from this day on customers were able to access their device from almost all over the world and also in 2017 we celebrated our first non-automotive customer and I can tell you this was a great success for us and a big step towards the market as of October 2018 but he insights is now our a member as you have seen of the Bosch IOT sweet family was now with more over 30 customer projects managing over 2.5 terabyte and receiving data from over 4 million devices so those projects are not only realized in Amenia those projects are realized in over 10 different countries like Russia Japan North America of course Germany China and so on and we see that the demand is increasing and more and more companies see the pain and not having their data managed appropriately so this is why we gather feedback from the duysts the one that are in the real projects the one who know how data management works and what they came up with is the following so what you can see they mainly struggles in four areas technology data privacy and quality and IT challenges or we named it as ayat heat challenges in general so from the technology perspective for example many existing protocols out there need to be implemented and need to be configured which means as we heard earlier a lot of work resulting in a higher costs and to face this challenge and moreover they struggled with real-time requirements because customers want wanted actually to have their data in real time but when doing projects and they noticed that sometimes real-time data is not available or it is not even necessary for their use case since May 2018 we all know how much effort it costs to implement a smooth gdpr process within an organization and this is also a key challenge that doers have been struggling with because when you have the responsibility for managing managing GDP our regulations you obviously want to have a control over the data you're receiving and working with the third big challenge area is IT challenges in general a lot of doers were trying to handle connectivity between the devices in the cloud on their own until they found out that existing sensors for example are not even connected to anything so and also they were scared to migrate into the cloud as you can see that is what makes it really hard to handle IOT data management last feedback what was that they had too little data when it comes to data quality to do big data so there you have it four big challenges in IOT data management and the one or other of you probably already came across those challenges but don't be scared other companies did also what we have here is a slide with five famous companies and I wanted to go through it quickly this is 14 died Honda BMW and Porsche all of them had to recall their cars because of various reasons and as you can see this happens more or less in a regular basis so and if they would have had managed their data over the cloud in the first place they would probably have been a chance to avoid those recalls and you probably got a wondering how we would prevent this with Bosch IT insights and Paul right next to me and can't wait anymore to give you guys an explanation on the technical side so thank you Lucas and could you click further please okay so well you usually have a lot of use cases around in the real world and all of them have their use case ok I have different protocols I connect this to my back-end and what is then ID I have two payload which is usually in some proprietary format or maybe some standardized format who knows you cannot handle that so what we establish is a pipeline underneath similar to a show data factory it doesn't matter what kind of payload you send to us we accept everything and then we allow the customer to include his coat his own processing logic into his pipeline to restructure the data into a JSON format so that at the end he can create queries and aggregate the data together to visualize it and on top of that we of course provide additional feature sets they take varying of course what I just mentioned exporting the data and a few different formats so that he can maybe work with his own tool sets a master data management which is what we figured out from our experience main key point you don't just don't need only the data the payload that you receive from your devices you need also master information like what kind of version was this when was it received maybe which kind of vendor was this and so on user administration to invite others to your project space and handle the rickman rights of course security support and of course on top professional service if you don't know what to do or come to a point where you say guys I need help we will help you with that ok ok and as Lucas mentioned since we are coming more from the automotive domain you see a big sign here all kind of data that we currently handle but as you also see we are now you know many other domains like smart homes Matt Sitton retrace and increasing there more and more and actually if I would look it at it now it would be like 5050 or even more non other modest and automotive cases well it slides a little bit slow okay and to give you a good sentence from one of our customers which we asked okay what did we do for you could you explain it in one sentence and he said to us thanks to the clear presentation of my machine data on the dashboard our customer service can quickly dandy here what needs to be looked at this is one example as I just mentioned it was from the hormone machine bhaji in Bihar agricultural sector we also have projects in the automotive case in this case we selected for another example the connected validation where it is the point to optimize brake systems and another one would be ponder in this case of highway where the customer wants to understand how how this machine is being used out in the field and how often it has malfunctions what are the problems and now can I decrease the time and the last but not least one of our older projects with the English government move UK where we want together with Bosch and Yahoo and Land Rover to analyze and optimize the behavior of self-driving cars inside of the city and this is also the project that I would like to show you in a live demo so one second I have to take over the screen as you see now this is the project start page which the customer designed for himself I'm only a normal user so I can not modify that but I will show this in another project as you see several data sets have been collected over the last two and a half years and goal of the project as I just mentioned was okay I need to optimize mine sensors for automated driving inside of the city what are the problems out there based on a few examples I will show you how the processing pipeline that stocke beforehand works see here in this case we just retrieve zip files and if I would implant Packer download them that's just binary data at the end the customer provides his processing logic decodes this incoming binary data and this is then stored as Jason images traffic sign recognition surround events and other informations which your translator can use to visualize in dashboards in this case it's only seven cars as you can see and only 40,000 files have been collected over the two years but still it's four hundred gigabyte of data you can then visualize this information knowing okay where were we are the cars that were driving around in the Llano city what have they been doing there and then on top of this you can build your use cases for example that one where the customer analyzes the behavior of his rudder system inside of the London city to understand okay when are the cases when there are other system is getting lost or detects invalid signs or recognize recognize the car in front of me and then loses it again as you see here on the screen and based on this information the vendor can optimize his product for real-time use cases another example that I would like to show you is this one here here we have a video file and the use case is very simple I have a driver assistance systems which breaks in immersion emergency situations and now I can analyze if the driver brakes very hard and the system does not why usually you don't know but with all all information about the field I see here what was the reason why the driver brake the system not well easy on the street ever bumpers and the drivers assistant system did not detect them so afterwards after they detect this malfunction behavior they implemented and extended their firmware and now to detection books and coming back to a more let's say easy a use case this is one of our employees who is managing his smart home with the same solution on top he is collecting his water consumption over his flat and for his as a landlord he is collecting his gas consumption and this is all editable as you can see here and mortar for modifiable by him also he is collecting his power statistics and of course his last trip to Scotland with his mobile home done with the same solution and with this I would finish my short life introduction into the system and come back to the Q&A session to Lena no good thank you thank you very much Paul we will start with a QA shortly in one second please okay so we'll start with the Kuna we've already received quite a few questions and we will be answering most of them are trying to answer most of them there's a bunch of questions with particular specific to Bosch so maybe we start with that as we just saw the fresh demo here so let me start with the first question which said is IOT cloud a competitor to AWS in the zoo and I think we've had this question in various formats not sure was the right person Lucas who wants to answer this well it depends on the use case in some ways yes in some ways no but we both work together with obvious and Escher to provide combination of solutions so we have common customers where we really base our solution on top of the Microsoft infrastructure and sometimes it's the other way around that's really depends on the project and the customer in the use case behind it so I would say sometimes we are competitors but most cases not yeah I can also say from my side that many companies use more than one platform and it's not necessarily only one it's different components to put together the second question on that is why why why only in China because I think you mentioned that it said on one of your slides that you're yeah well I can answer that well answer a question back what would be the other option a sure if you ask Microsoft they tell you not to use Azure in China so that's their own recommendation to not use their system the same goes for Ras and the only other thing that is available there would be Alibaba and well if you look at their slides and their technology most of it is very outdated not really available so the only option left is right which is also not well best solutions are coming back from a political point but the only option left for us good there's another question and it will continue with a couple of more specific ones and then zoom out to the more generic one can one use IOT for solution two minutes boss bosses was other manufacturer devices for example ABB Cukor Schneider Electric and so on yes of course I get that the very simple answer how's how there is a more specific question to last mile connectivity how its Bosch providing last mile connectivity two devices are you partners with telecommunication companies directly or in do you go via intermediaries like Jasper I don't get this question lost my communication in my terms of sentences usually a term which we use in yeah Internet connectivity to the end customer don't know what this means in combination with business partners okay is the person who asked wants to perhaps clarify it we can pick that up again good there's a lot of lot of both questions here how's boss managing pricing other vi price project or do you have a model supports multiple price plans like prepaid postage based on service users so I guess this is the question for Lucas right yeah right so when it comes to the services only not for a whole project we have a free starter and stand a plan whereas the stand up plan is pay as you grow and the starter plan is sort of a fixed in constraints now I will not go into the details of the pricings but they're all available on the bottle IT suite as I said there's also a free version available so you guys want to try it out just go on party suite and there you have two chance to another question read thank you another question Rhys can you talk a little bit more about IOT data stored in the cloud versus in-house and how do you justify the security level of cloud storage obviously my security is an extremely extremely sensitive topic suppose you're asking to that well a lot of customers are coming from that point are usually saying okay I want to store my data locally I get that from a security point of perspective it's somehow let's say not as not a real security problem it's more trust problem so if you look at it you usually want to provide your IOT data to your cur employees and also to your customers so it must be available worldwide and from the technology pointers perspective it doesn't matter if you create a server in your building or a server somewhere else it's still available in the Internet the other way or another way around the problem is later or more on ask yourself can you provide a server in your own basement literally speaking which is secure which is fro out in the world wide web and then give access to your customers if you're a small company usually no if you're a big company then yes and in this case we can of course provide an on-premise installation of our services there's a question which I don't know if this can be answered very easily it's not necessarily related to boss is there an IOT analytics platform which features AI filters in the data collecting process in order to minimize the data noise this is a very specific question so I guess I personally cannot answer this I don't know well Misha you seem in a solution on that Paul if you want to you seem like you want to answer that one yeah we have the IOT analytic service on top of our services which actually does goes into this direction it all of course it depends on the use case what you want to minimize on noise here solution connectivity to this is was we would need more details to clarify what the noise actually is here is it just the noise like saying okay temperature sensor misbehavior or noise in kind of terms of GPS position problems it really depends good the next question is a very looked more like five questions at once so let me let me try to pick out one that is quickly clarify if you we you and the Internet of Things becoming a commoditized solution I get that that's the first that's the first question then obviously is very broad because you know things there's a lot of different elements and I say if I cannot take a shot at that one I think you need to look at different technologies some of the hardware it's certainly much more commoditized than some of the software if you look at i/o te software platforms I think there are certainly specific nuances and we have if you have a record on IOT platforms coming out in two weeks on exactly this what are the difference between different providers but and you see there are still quite substantial differences but at the end of the day these platforms aim to do different similar things so I think over time these platforms more or less solve the same issues some better and not in some vert and other verticals but I think there is a certain level of commoditization with the platform quick that if that's what the question is aimed at versus not but at the end of the day things like doing data management analytics there's still some some differentiation again another question for a boss that for software innovations to all software development and supports an operation of the IOT platform by their own or are you considering software implementation and support in operation partners well it depends we have our own cloud system in this case we do the operations from Bosch insights from employees if you come to our services Klosterman asher another yes we usually tend to partner together with Azure obvious that's this answer the question are there any transitory use cases using the budget I mean today we talked a lot about vehicle of any software cases using this platform there were just have any example I would ask Lucas if I can mention a customer name here but not yet no okay I can I mean I can say I attended the boss conference a couple of months ago and there were some showcases so I can I can I can i I know this is happening the next question is I guess more question to share is IOT analytics what is the global IOT platform market estimation in the sense how much companies will spend in the following period and and so we have obviously here at IOT analytics has a model for these platforms we monitor on the second we have an estimation behind which how much each of these companies actually make in terms of revenue and we will update that later this year we better estimation but the overall market for these platforms and our view the way we define it is probably and I don't have the exit the exact numbers here it's somewhere between three and five billion u.s. dollars right now and I think we look on our website you'll find more exact numbers and the question then is how much will companies spend in the in the in the following period this is growing pretty rapidly and if you just look at the companies that some of the leading companies they're growing somewhere between thirty and a hundred percent in terms of their annual revenue so you can see that companies are spending a lot on it for our company faces I can say that I've heard of cases where companies spent very little they use a free free option and do a little bit all the way up to several millions and there are some deals that are north of to five million US dollars a year but those are are not about the majority there is another question on Bosch is there a more detailed tutorial on how to use the Bosch IOT inside service yes we have both we have tutorials and getting started for Bosch IT insights but not only for bajjis inside of course also for the other services all available online but you're gonna gonna get a link afterwards in the follow-up email all on the Porsche I'm not sure that I I personally understand the question but of positi what would you consider using open data to avoid looking for recordings of false warnings in urban environment it's not what other constraints from your site is it something that you can answer would you considering using open data to avoid looking at recordings of faults on very specific questions not sure how to answer that what is open data to you yeah maybe the person can send a follow-up email otherwise I mean if you you can send an email to definitely to webinar at IOT analytics calm and if there are any open questions we will forward that to the people who were on the call today but we still have a few minutes left so I will continue going through some of your questions and they keep coming in so so this is great is it possible to feed the data from Bosch IOT thing / digital twin to Bosch analytics and if yet how from Bosch IOT things to Boston oolitic snow currently you will have to go to Bosch the inserts and then to bascially analytics there is currently no implementation or not the concept to go from poverty things directly to poverty analytics so you need to go through the to the data management service IOT insight so but not directly what can we use Bosch IOT solutions at the back end I guess this is more of a question of back-end and cloud hosting what I would assume between all our services and basically API B are all API based on REST API level and everything this Y on top is just the UI you can create your own UI or integrate our services into your own back-end or your own solution of course person actually clarified I mean can I call Bosch IOT API to calculate something and then show it on my own dashboard yes okay how is the data fed into inside is it directly from device or hub both did it depends on the use case some customers are using the hub to fit data to us some are using a direct connectivity that I just dumped in the data some are just uploading it manually as a file always are possible on this case of course it based on the use case we usually give a recommendation but that depends on the use case another question is from 600 IOT platform vendors how many have complete building blocks this is extremely difficult to answer because everybody claims they can do it all and I can tell you we we on our side tried to navigate the jungle as best as we could and even then it's difficult because he was the same name it means something else and I would say the following what they can all do is they can all ingest data from different devices in some kind of modular form and they can all let you do something with it and I guess the thing like it dashboard is almost always part of it but there are differences and there are certainly out of the 600 there's certainly about 30 to 40 which are pretty complete if you look at it and and maybe one other comment is also you saw that we discussed that the number is growing to 600 but that doesn't mean that they all have a similarly successful that what we also do see is that there is a concentration happening in the market that the top vendors are being considered way more often than than some of the smaller vendors and that the market share is concentrating with the top tens of 20 companies and we'll talk about that in the report coming out later in the year good own vector Bosch what about IOT devices assume Bosch delivers we end-to-end solution including the sensors do you also support integrating with other vendor devices with standard interfaces support I think we had a similar question earlier and you said yes I guess with standard interfaces support the question would be what would be the standard interpreter was the we have some standard interfaces and API is available where we support different protocol levels but coming back to your question the example that I just saw in the lifetime of movie okay there is actually another supplier providing the device inside of the car so it's not Bosch here in this case it's a smaller German company which just sends and feeds in the data so yes we support devices from other manufacturers and also we deliver end-to-end solution but not only yeah and there was another follow up on somebody he has a partner program for third-party developers not that I know of this is a no to that question okay we had a question on last mile connectivity and the person had specified saying what he means is basic Internet connectivity is not good enough not enough ride or secure for commercial deployments there are better standards like LT n + bi 80 or even private 5g network based on your response I believe that not your focus area at the moment that's correct yes that's not our focus areas but there are other boss divisions who are focusing on that we are focusing on the back-end solution here well I can I can definitely say that I know I attended Hannover fair the large industrial fair this year and the boss was the only companies with their own 5g network at the fair so it's certainly a big topic for boss yeah Bosch is brought so there are a lot of divisions handling different topics good we have I think we have one minute left so I'll try – we still have we still have could go through another dozen of open questions but I'll answer them as they came in somebody asked several variables being collected from the equipment that is get the follow-up I need to reconnect sorry this is for me it's incomprehensible because a person who has several things is this is a pretty technical question imagine a company which produces IT and abled product should there be unique global ID the global thing I be defined as for master data by this company for its products and able future use cases for example for software updates or is make ID sufficient what you recommend I would not recommend Omega D to be sufficient actually from technical point I would recommend the user ID but in real-time use cases most vendors tend to use some internal device IDs which J just sum up from one two three four five six seven eight eight and so on and then afterwards they complain all the the we don't know ID this was or what to us this was we usually recommend some really at least in the company global identifying ID that they use and recommend the new unity or something similar technically but in a realistic rife case they tend to use something very simplest stick and that's done up to the customer to decide we support all day create unfortunately out of time there was one question from a guy called Eric I won't deny his last name here but he's also sent an email already before if you're still on Eric we will I will get back to you by email shortly I think you had a very lengthy question other than that unfortunately we're out of time we can't take any more questions feel free to send us a webinar at IOT – analytics dot-com if you have anything else I'm happy to forward them to the boss guys that they're both specific otherwise the recording as discussed earlier will be made available soon and you'll get an email and I would be very pleased if you could give us some feedback on the webinar what if you liked it or how to make it better in the future you will get an email for that shortly probably tomorrow that will ask for your feedback thank you very much it's been it's been fun from our side we hope you enjoyed it and wish you a fruitful rest of your day bye bye

Be First to Comment

Leave a Reply

Your email address will not be published. Required fields are marked *