Transcript 0:00 [on-hold music] Talk to me. Information, news and entertainment on demand. WUSradio.com. 0:13 [on-hold music] Welcome to The Peggy Smedley Show, the voice of IoT in our connected world, with your host, Peggy Smedley. [on-hold music] Hello, listeners, and welcome back to The Peggy Smedley Show. 0:26 After twelve years of work in mobile and enterprise software, as well as heading up the development of startups focusing on parallel programming technology, my last guest today has become the go-to guy to connect customers with the right data-driven product they need. 0:44 So please welcome Max Kashu, Senior VP of Sales and Development for Mobilia. Max, welcome to the show. Thanks, Peggy. Thanks for hosting me. So Max, let's talk about... 0:56 There's-- We've been talking about most of the day today about industrial IoT and Industry four point O. What kind of trends do you think are happening in that? I'd love to hear your thoughts. 1:07 So I see, um, I see three key trends, uh, in that space. Um, the first one that we encounter very often with our customers is the emergence of artificial intelligence and, uh, machine learning. 1:19 So it's really becoming a very strong IoT enabler to drive performance in the manufacturing chain and also optimize, uh, energy costs, right? 1:29 Uh, we see that our, our customers want to turn, uh, advanced analytics, they want to get insights. They are getting more and more assets connected, and we see that, uh, we can enable a lot of value from that, right? 1:43 In terms of, uh, predictive analysis, uh, conditional monitoring. So having millions of, uh, assets connected, uh, can drive a lot of benefits from, from that, uh, from that piece in terms of ROI. 1:57 Uh, the second trend that we see is, uh, in terms of, uh, uh, edge analytics. 2:03 There are more and more powerful device on the edge, um, and we see more and more need for device-- smarter devices on the edge that can collect and not only aggregate, also filter and also relay data, uh, to the industrial process. 2:20 And very often these, uh, industrial environments have lack of good thing-- good connectivity, sometimes no connectivity at all. 2:28 So you need edge analytics to be able to, uh, perform analytics on the edge and then relay that to a cloud and the, and the back end. So it's very important. 2:38 And third one that I will, uh, mention, uh, that we encounter as well is the emergence of augmented and virtual reality solution that are combined with industrial IoT, right? 2:50 Imagine, uh, a field workers with maintaining any piece of equipment with an augmented reality application on a smart glass. 2:59 It creates a lot of benefits to have live information on the condition of the piece of equipment he's looking at, right? 3:06 If you are doing a step-by-step maintenance, uh, you know exactly if you're performing it correctly, you get real-time feedback, so it creates a huge advantage for any AR/VR solutions, uh, combined with IoT. 3:21 When you talk about these three trends, which is interesting, AI, you talk about, you know, analytics to the cloud, the edge, and augmented reality. 3:31 When we talk about AI, are we talking about it because we see self-driving cars, we see what's happening on that? Is that what you're really talking about? 3:39 You see what's gonna happen in the whole autonomous vehicle kind of world. Is that what you're seeing with the whole AI kind of thing? Is that where the big kind of push is going to be? 3:52 Yeah, we see, we see a very, uh, uh, a strong push on this because you have more and more po-powerful, uh, public cloud infrastructure, right? To leverage artificial intelligence. 4:04 So once you're able to connect and relay all that information from your sensor in a factory, uh, you can run a very powerful model that gives you very advanced insights, right? 4:15 Uh, one example is in a, a factory who wants to optimize their energy consumption. 4:20 So we're able to, uh, uh, plug that to a machine learning model that will learn about the process and then start off really optimizing the, the process from a, an energy efficient way, leading to a twenty percent energy consumption reduction on the production line, right? 4:36 So we can do now very, very powerful, uh, things leveraging the, uh, architecture such as, uh, GPU, for example. 4:45 So when we look at all of these, we, we see all this coming together, all this data that you talk about and the machine learning, but we still have a lot of gaps right now in all of this that whatever we're talking about, whether we're talking about machine learning- Yeah. 5:01 -or whether we're talking about getting all the analytics, we still have a lot of work to be done right now, would you say? Yeah, absolutely. 5:09 I mean, uh, there, there's one obvious one that I'm, I'm sure the listeners are, are aware about is the, uh, the gap in terms of security, right? You have more and more complex networks of sensors, endpoints. 5:21 Uh, there's a high risk of security breach of this sensor getting tampered or compromised. Uh, you also have sensors that are from different OEMs, uh, different vendors that have different firmware. 5:34 So it, it becomes increasingly more complex to, uh, to manage all these sensors. So you need solutions to be able to onboard, monitor, and manage all these, uh, endpoint, right? 5:45 So solutions like managed IoT or firmware over-the-air, secure firmware over-the-air are extremely important from, uh, from that expe- from that perspective. 5:56 The other one that I see that's also a big gap is a, a gap in terms of, uh, interoperability.So you have tons of different endpoints, different sensors, different protocols, Zigbee, Z-Wave, BLE, um, LoRa, right? 6:12 And, uh, you need, you need to be-- when you build an end-to-end IT solution, you end up spending a lot of time, uh, connecting all these sensors to your, to your gateway. 6:22 Um, so fortunately, things are moving in the right direction here. 6:27 Uh, you may have heard about, uh, EdgeX, which is a, a vendor-neutral open source project that is building a, a common open framework for IoT edge computing. So we are... 6:38 Mobiliya is part of it, so we are working on this and to have an ecosystem of, uh, plug-and-play components that have connected the gateway. 6:46 So that will be basically standardize the ecosystem at the, at the edge gateway so that you can spend more time on what really matters for the customers in terms of analytics and doing more intelligent things on the, on-- with all the data that you collect, right? 7:02 Um- And we talk about trying to get that interoperability. 7:06 W-How far away are we to achieving that goal that we need to, you know, have to look at that and a-achieve some kind of a goal like that for interoperability at the edge? 7:17 So Edge, uh, so EdgeX, uh, this vendor-neutral open source project was announced just a few months ago. Uh, there is some reference codes. All the, the members are, are working in that direction. 7:29 So, uh, from an edge perspective, I think we are making, uh, we're making good progress, right? 7:35 Uh, there still remains, you know, a lot of different, uh, uh, vendors on every layers, but I, I think we're, we're making progress towards that. And how are we looking on the security side of it? 7:46 You know, because when we look, security is such a critical aspect, as you mentioned. You know, how- Yeah...do we achieve that goal of being, making sure that everything is secure? 7:56 Because you know, when we created all this, it's not, but that's like, uh, first and foremost on everybody's mind. Yeah. 8:03 So on the, on the security side, there's also a need for a platform that can manage all these different, uh, sensors and endpoints, uh, that are on different OSs, you know, the different protocols. 8:17 So they need also some, uh, some way of, uh, a way of abstracting that so that, uh, and then customers, uh, don't have to worry about this. So that, that's also something that some vendors are working with. 8:30 So there, there seems to be also some, some progress done in, in that sense right now. S-so Max, it's great. Where can our listeners learn? We're out of time. 8:39 Our listeners can learn more about what Mil- Mobiliya is doing. What's your URL? Uh, what? Sorry, what did you say, Peggy? Your URL. What's the URL so our- Yeah, M-O-...listeners can learn more about you guys? 8:50 M-O, M-O-B-I-L-I-Y-A dot com. Mobiliya.com. Max, thank you so much for being with us. We wish you guys continued success. We hope you'll come back and talk to us soon. Thanks, Peggy. All right. Thank you. 9:06 All right, listeners. We're out of time, but you know what? You can learn more about what we're doing. You know that we're broadcast live every Tuesday at twelve PM Central. 9:15 So, uh, tell us what you want, but please check out our website at connectedworld.com or our show is always at www.peggySmedleyShow.com, and you can check out all the past archives. 9:26 But as always, you can share your thoughts with me on Twitter at Peggy_Smedley, or you can certainly tweet at me at ConnectedWMag. So we'd love to hear everything you want to listen to. Let us know. 9:39 As always, this is The Peggy Smedley Show, the voice of IoT. Have a wonderful week, and remember, with great technology comes great responsibility. 9:50 [upbeat music] With great technology comes great responsibility. 10:05 Follow Internet of Things tech expert and futurist Peggy Smedley, repeatedly ranked as a top IoT and M2M influencer. 10:13 Go to Peggy_Smedley on Twitter for her take on the latest tech news and lively interviews with other industry insiders on her weekly radio show. Visit twitter.com and search for Peggy_Smedley to follow her today. 10:27 [upbeat music] Video consumption is on the rise, so to reach this audience, Constructek Magazine created Constructek TV. 10:39 Constructek TV helps construction professionals leverage emerging solutions to better their business. Tune in to constructek.tv to catch the latest show on the first and third Tuesday of each month. 10:50 Like, view, and subscribe to constructek.tv, bringing dynamic video to construction. 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