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Shamik Mehta with Hitachi Vantara
16th August 2022 • The Industrial Talk Podcast with Scott MacKenzie • The Industrial Talk Podcast with Scott MacKenzie
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On this week's Industrial Talk we're onsite at IoT Solutions World Congress and talking to Shamik Mehta, Director of Industry Solutions Marketing at Hitachi Vantara about "The Never Ending Pursuit to Innovate to Positively Impacts Lives".  Get the answers to your "Innovation" questions along with Shamik's unique insight on the “How” on this Industrial Talk interview! Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2022. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

SHAMIK MEHTA'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/shamikmehta/ Company LinkedIn: https://www.linkedin.com/company/hitachi-vantara/ Company Website: https://www.hitachivantara.com/en-us/home.html

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PODCAST TRANSCRIPT:

SUMMARY KEYWORDS hitachi, Mehta, data, problem, iot, companies, solutions, industrial, people, bag, customer, conversation, world, vantara, manufacturer, industry, recorded, information, asset performance management, disappoint 00:00 Hey, industrial Talk is brought to you by CAP Logistics. You want to minimize downtime, absolutely. increase reliability, you bet ensure operational profitability. Yes, you do. That means you need 24/7 365 insights into your supply chain, look no further CAP Logistics, go to CAPLogistics.com or just call them. They're great people 800-227-2471 also Industry IoT Consortium. At industrial talk, we always talk about education, we always talk about collaboration, we are always talking about innovation. And if you're a business that has any desire to be resilient to the future, you need to be able to educate, collaborate, as well as innovate with other industry professionals. That's a must. Industry IoT Consortium brings that all together, you need to be a part of this community, you need to be connected with these leaders that are all apart the industry IoT consortium, go out to ai consortium.org. Find out more again, you will not be disappointed. You're just going to be happy. Again, welcome to industrial talk. Once again. We were broadcasting from IoT solutions World Congress and we caught up with a jet by the name of Shamik Mehta. Again, you'll hear in the interview, but I met this guy virtually, and he does not disappoint one bit he's with for Hitachi Vantara, we had a great conversation. We discussed everything at this particular event. Because you know why? Industrial talk is in expanded ecosystem. I'm using that term quite liberally. But it is about solving problems collaborating, and definitely educating should make doesn't disappoint. Let's get on with conversation. 02:07 Dog ontogeny, so listeners, by all you know, should make from a television screen or a monitor. I've never met him in person. I'm now I'm meeting him in person. 02:19 And it's so good to be here. I recognize you instantly. 02:25 Yeah, there's a lot of good looking people around here. But I'm the ugly one. So it's easy. 02:29 All right, you have the best hat is the best. He's the best dressed guy over here. Just being here. 02:39 Now, you know, what is I get to live my Discovery Channel Live, I get to talk to everybody who who has the solutions. And I just sit back and soak it up. You know, eventually, I don't know what I'm gonna do with it. But I'm, I'm Scott, the AI guy. Like just just keep on soaking up information. So for the listeners, let's let's just sort of level set their show me give us a little background of who you are. And then we're going to venture on into a touchy fib Daraa. 03:03 Absolutely. I'm sure Shamik Mehta. I'm director of Industry Solutions Marketing at Hitachi Ventura. And I've spent the past 2025 years working in the world of high tech marketing, product management. Everything from semiconductors starting in nicely designed to renewable energy, product management, EVs and battery leasing for fleet management, internet of things when we were calling it machine to machine and we were equipping solar arrays with IoT sensors inside the inverters. And we were looking and collecting data from inverters on three gigawatts worth of solar projects from around the world in seven countries. Yeah, and wind turbines and everything in between and anemometers. And making sense of all the data and figuring out when to service the panel's will never clean them and all that and they talking about 911. 03:54 So you see, this is interesting, because I, the conversations have just changed so drastically. When we were here, what, three years ago? Yeah, okay. People are saying, yeah, now we put devices out there. And then it does this is sort of rudimentary, but it's been around but But now, the conversations aren't just real tactics. It's like, do this, grab this be able to make these type of decisions? And, and I think Hitachi Ventura is leading the way that you guys, not, I mean, you guys embody, from my perspective, the just this energy and innovation, because you never stop. It's always like something else. Yeah. Hi. 04:36 Well said, because we've not only been like an innovator in this IOT space, but we have been creating and simplifying business problems by saying, let's focus on the outcome that customers want. Customers are not interested to learn about an IoT platform. That's not what they do. They don't yeah, I'll be customers, I think, hear a word of term like an IoT platform and they are great what One more silo of data that this vendor is now going to control. And we are here to tell the customer ask the customer, what problem for you keeps you up at night? Is it asset performance management? Is it using computer vision? Is it using artificial intelligence to drive insights and tell you things that you did not know, before? You were sitting on it all the time. 05:25 The companies have tons of information, there's data, there's just but they don't know what to do with it, it doesn't have value. And it's a constant problem. 05:35 Just because you have data does not mean it has bad. Yeah, too much data is actually a bad thing. As too much data, that's a bad thing. Because if you cannot understand the data sources and ownership and what is inside the data, then what good is 05:52 it? No, in fact, I don't know you probably do know should make is there's a point of diminishing returns, like okay, this, this is MIDI data. And this data can be sliced and diced in so many ways that makes sense. But then, you know, there's some, there's some thought out there and they just keep on collecting different types of data. And it just eventually just sort of, okay, I'm, that's like, 06:15 I'm gonna give you an example of what happened on Monday, when we got here from San Francisco, San Francisco, to Frankfurt, and then Frankfurt to Barcelona. The halt the layover in Frankfurt to get to Barcelona was only an hour and a half. From international third said, 06:31 that's incredible, that's tight. 06:33 So guess what happened? We got, we made it here. My my colleague, Bjorn and I, our backs did not. So then we landed the Barcelona, we had a we had an email from the fans are saying, Sorry, your backs don't make it. But the good news is, the bags are already in the next slide. And it's coming over. So we had to just figure out whether we wanted them to deliver the bags to us, or he wanted to wait a year or to pick it up. So we went and checked the Congress that was handling loss baggage for the thunder, a company whose name I forget, right. And we also had had an email from distanza saying, upload your records on our website. So we did that address where we were staying all of our contact details everything else. When we went to the global company that was handling Lufthansa and a few other airlines for baggage Yeah. And we went there, they had to enter all that information all over again, all the information on the status page, or wherever we were description of our bags, blue color, with rulers without rulers, whatever we entered, all that information at the clerk had to enter that information in their systems. Again, that meant that it is silo of data that this company has, and that Lufthansa has, and they do not talk to each other. 07:45 It doesn't have to be that way it does. And outside of the fact that somebody's fat finger in your data into another system could be you know, introduction of errors, and then all of a sudden, your red bags, a blue bag, or whatever 07:56 it might be. This is a great example of IoT that can be used, or it's a matter of data integration. But more than that, because those two companies have to agree on a partnership, it is going to change the way they do their business. This is Digital Transformation 101, where you're not just telling the fans or ended up partners to open up all right API's and access each of those datasets. It is transformation, which what the companies are completely transformed. And we are not even talking about adding an IoT sensor or an RFID on the back or an apple tag that continue the location to the back. If I were to introduce that complexity, I would just actually made the problem worse, because now I have an old T sensor source of data, which is telling me where the bag is located. But it provides no value because I'm not gonna be able to go pick up my bag from the Lufthansa plane myself. 08:48 Yeah, see? It's the solution is available and plus be in a customer. You know, I, I want a good experience. That's not a good experience. 09:02 That's not a good. Yeah. And but if they were to have data integration, if they had embrace digital transformation at that basic level, think about the amount of customer satisfaction and efficiencies that this unleashes, my back is lost. I only recorded one time, and it's all taken care of. 09:21 So using that analogy, we flew in on Delta. And really, for the first time I've been we've been flying forever, right? There's there was communication to us about, Hey, your bag is being loaded on the plane. Like, oh, cool. I leaned over to my wife, hey, I love it. And then and then the bag is on its way. And it's just, you know, we find ourselves the market itself should me because just we've got an expectation and I call it the Amazon expectation that better. The better dazzled me If my package better get there yesterday, right, right. And we we carry that expectation through all aspects of our art or our life. 10:10 I know, I think it's a great thing that the tanza handled our facts so well that by the time we landed in Barcelona, we had an email telling us, don't worry, your backs have been found, and they're on their way to you. I love that. Yeah, it was just the act of avid to add that information to times made me realize that I'm heading to an IoT show, what are the best of the world? Yeah, and here we are, before we even get to the show, where I'm trying to figure out a data integration problem that I'm experiencing live as I get there, 10:36 and it's not a it's not a it's just a basic one, quite frankly, here field field field field field field field. 10:44 It was resolved peacefully, we had to stay at the airport for another hour and a half to get our backs. It's not a problem at all. But that's kind of outcome that we try to focus on, right? What is the outcome with tons of your package happening that you want to solve? Let's work backwards from there. 10:58 I do like that. What else is Hitachi Ventura bringing to the table here at IoT solutions World Congress, 11:04 we are showcasing our smart manufacturing solutions, manufacturing insights, everything from a supply chain control tower to digital game boards, and asset performance management of factory assets, whether they be in one factory, one location or another one another country. Similarly, in energy, we are showcasing smart energy solutions, we are doing image based computer vision based asset inspections, and identification where we can take a look at a transformer and make out figure out exactly whether the transformer or whether that insulator is showing any signs of wear and tear and defect and might cause a fire sometime. 11:43 Are you seeing any, and this is always the case, that my experience some people that there's a there's a learning curve that has to exist here where people are beginning to feel more comfortable with what's taking place and how this whole digital whatever Renaissance where we want to call it is impacting their lives in a positive way manufacturers are we getting to a point Shoemake where the solutions are, are easy for the my expert, I'm a manufacturer, and I can't bring on any more complexity. But I know I need to do this, are we trying to drive towards simplicity for these solutions 12:28 we are. And I think the easier you make the visualization of the solution, the easier or make the adaptability of the solution into what the customer is already used to without forcing them to change their databases without forcing them to change. They're not well known tools and dashboards that they want is a way to go. So we need to have modular scalable systems that does not disrupt the customer's environment, but adds to it. And we think if you know exactly the customer's outcome that you're trying to help them achieve, you can get there. If you don't have a clear understanding of that. I think vendors will try to push what they think solves the customer's problem and forces them to move to a new solution or a new tool or a new visual dashboard, that disrupts things. If you don't have everybody on the ground floor on up and agreeing to the new tools that they're going to use. They're just going to make things more complicated. How are 13:28 you addressing from a client perspective? All of this is great. All of those are wonderful solutions. And and quite frankly, if you're a manufacturer, if your energy, whatever, whatever industry you're in, you need to do this. No matter how painful it is, but you find trusted, you know, people companies to be able to help you with that journey. How are you? How's Hitachi vantara addressing this need for reskilling upskilling existing workforce? 13:59 Yes, the question. We have about 240 to 280 openings for software engineers as we speak. And it's getting increasingly difficult to find candidates to interview for get hired. We think that the skills gap is severe. We think it's widening every year, and the demand is out of whack with the supply. Yeah, we have a lot more need for competent, well educated engineers than the world is putting out today. As a result, not only us but we find our customers constantly investing in retraining of their workforces. One of the things that we are helping manufacturers do is establish a digital game bubble. Where you know, when a shift changes, you typically have the operators get into a room and to post it sort of drawing on a whiteboard, change the knobs and conditions at work to get them to yield that they did and what brought problems be observed in a machine. And all that information is usually just passed down to Macbooks, to conversations and institutional knowledge. But as many of these workers start to retire, and new ones are encouraged to join, there has to be a way to capture that information, we do that using what we call a digital camera works. It's a giant touchscreen, where inputs are recorded, is shared with other factory locations and other workers in other places. So now that knowledge is not only just best practices in that factory, and what happened on a particular day that got them a good result. But those learnings are captured forever used for training purposes, shared throughout the company, and is overall positive virtuous cycle. 15:44 If you see that you're you're right, I think supply demand that type of reality that test is impacting, specifically, let's say the IoT world, I mean, companies like yours, and others, and professionals like you and others, you you, you push the envelope in a positive way you create new use cases that were...

Transcripts

00:00

-:

02:07

Dog ontogeny, so listeners, by all you know, should make from a television screen or a monitor. I've never met him in person. I'm now I'm meeting him in person.

02:19

And it's so good to be here. I recognize you instantly.

02:25

Yeah, there's a lot of good looking people around here. But I'm the ugly one. So it's easy.

02:29

All right, you have the best hat is the best. He's the best dressed guy over here. Just being here.

02:39

Now, you know, what is I get to live my Discovery Channel Live, I get to talk to everybody who who has the solutions. And I just sit back and soak it up. You know, eventually, I don't know what I'm gonna do with it. But I'm, I'm Scott, the AI guy. Like just just keep on soaking up information. So for the listeners, let's let's just sort of level set their show me give us a little background of who you are. And then we're going to venture on into a touchy fib Daraa.

03:03

tura. And I've spent the past:

03:54

So you see, this is interesting, because I, the conversations have just changed so drastically. When we were here, what, three years ago? Yeah, okay. People are saying, yeah, now we put devices out there. And then it does this is sort of rudimentary, but it's been around but But now, the conversations aren't just real tactics. It's like, do this, grab this be able to make these type of decisions? And, and I think Hitachi Ventura is leading the way that you guys, not, I mean, you guys embody, from my perspective, the just this energy and innovation, because you never stop. It's always like something else. Yeah. Hi.

04:36

Well said, because we've not only been like an innovator in this IOT space, but we have been creating and simplifying business problems by saying, let's focus on the outcome that customers want. Customers are not interested to learn about an IoT platform. That's not what they do. They don't yeah, I'll be customers, I think, hear a word of term like an IoT platform and they are great what One more silo of data that this vendor is now going to control. And we are here to tell the customer ask the customer, what problem for you keeps you up at night? Is it asset performance management? Is it using computer vision? Is it using artificial intelligence to drive insights and tell you things that you did not know, before? You were sitting on it all the time.

05:25

The companies have tons of information, there's data, there's just but they don't know what to do with it, it doesn't have value. And it's a constant problem.

05:35

Just because you have data does not mean it has bad. Yeah, too much data is actually a bad thing. As too much data, that's a bad thing. Because if you cannot understand the data sources and ownership and what is inside the data, then what good is

05:52

it? No, in fact, I don't know you probably do know should make is there's a point of diminishing returns, like okay, this, this is MIDI data. And this data can be sliced and diced in so many ways that makes sense. But then, you know, there's some, there's some thought out there and they just keep on collecting different types of data. And it just eventually just sort of, okay, I'm, that's like,

06:15

I'm gonna give you an example of what happened on Monday, when we got here from San Francisco, San Francisco, to Frankfurt, and then Frankfurt to Barcelona. The halt the layover in Frankfurt to get to Barcelona was only an hour and a half. From international third said,

06:31

that's incredible, that's tight.

06:33

So guess what happened? We got, we made it here. My my colleague, Bjorn and I, our backs did not. So then we landed the Barcelona, we had a we had an email from the fans are saying, Sorry, your backs don't make it. But the good news is, the bags are already in the next slide. And it's coming over. So we had to just figure out whether we wanted them to deliver the bags to us, or he wanted to wait a year or to pick it up. So we went and checked the Congress that was handling loss baggage for the thunder, a company whose name I forget, right. And we also had had an email from distanza saying, upload your records on our website. So we did that address where we were staying all of our contact details everything else. When we went to the global company that was handling Lufthansa and a few other airlines for baggage Yeah. And we went there, they had to enter all that information all over again, all the information on the status page, or wherever we were description of our bags, blue color, with rulers without rulers, whatever we entered, all that information at the clerk had to enter that information in their systems. Again, that meant that it is silo of data that this company has, and that Lufthansa has, and they do not talk to each other.

07:45

It doesn't have to be that way it does. And outside of the fact that somebody's fat finger in your data into another system could be you know, introduction of errors, and then all of a sudden, your red bags, a blue bag, or whatever

07:56

it might be. This is a great example of IoT that can be used, or it's a matter of data integration. But more than that, because those two companies have to agree on a partnership, it is going to change the way they do their business. This is Digital Transformation 101, where you're not just telling the fans or ended up partners to open up all right API's and access each of those datasets. It is transformation, which what the companies are completely transformed. And we are not even talking about adding an IoT sensor or an RFID on the back or an apple tag that continue the location to the back. If I were to introduce that complexity, I would just actually made the problem worse, because now I have an old T sensor source of data, which is telling me where the bag is located. But it provides no value because I'm not gonna be able to go pick up my bag from the Lufthansa plane myself.

08:48

Yeah, see? It's the solution is available and plus be in a customer. You know, I, I want a good experience. That's not a good experience.

09:02

That's not a good. Yeah. And but if they were to have data integration, if they had embrace digital transformation at that basic level, think about the amount of customer satisfaction and efficiencies that this unleashes, my back is lost. I only recorded one time, and it's all taken care of.

09:21

So using that analogy, we flew in on Delta. And really, for the first time I've been we've been flying forever, right? There's there was communication to us about, Hey, your bag is being loaded on the plane. Like, oh, cool. I leaned over to my wife, hey, I love it. And then and then the bag is on its way. And it's just, you know, we find ourselves the market itself should me because just we've got an expectation and I call it the Amazon expectation that better. The better dazzled me If my package better get there yesterday, right, right. And we we carry that expectation through all aspects of our art or our life.

10:10

I know, I think it's a great thing that the tanza handled our facts so well that by the time we landed in Barcelona, we had an email telling us, don't worry, your backs have been found, and they're on their way to you. I love that. Yeah, it was just the act of avid to add that information to times made me realize that I'm heading to an IoT show, what are the best of the world? Yeah, and here we are, before we even get to the show, where I'm trying to figure out a data integration problem that I'm experiencing live as I get there,

10:36

and it's not a it's not a it's just a basic one, quite frankly, here field field field field field field field.

10:44

It was resolved peacefully, we had to stay at the airport for another hour and a half to get our backs. It's not a problem at all. But that's kind of outcome that we try to focus on, right? What is the outcome with tons of your package happening that you want to solve? Let's work backwards from there.

10:58

I do like that. What else is Hitachi Ventura bringing to the table here at IoT solutions World Congress,

11:04

we are showcasing our smart manufacturing solutions, manufacturing insights, everything from a supply chain control tower to digital game boards, and asset performance management of factory assets, whether they be in one factory, one location or another one another country. Similarly, in energy, we are showcasing smart energy solutions, we are doing image based computer vision based asset inspections, and identification where we can take a look at a transformer and make out figure out exactly whether the transformer or whether that insulator is showing any signs of wear and tear and defect and might cause a fire sometime.

11:43

Are you seeing any, and this is always the case, that my experience some people that there's a there's a learning curve that has to exist here where people are beginning to feel more comfortable with what's taking place and how this whole digital whatever Renaissance where we want to call it is impacting their lives in a positive way manufacturers are we getting to a point Shoemake where the solutions are, are easy for the my expert, I'm a manufacturer, and I can't bring on any more complexity. But I know I need to do this, are we trying to drive towards simplicity for these solutions

12:28

we are. And I think the easier you make the visualization of the solution, the easier or make the adaptability of the solution into what the customer is already used to without forcing them to change their databases without forcing them to change. They're not well known tools and dashboards that they want is a way to go. So we need to have modular scalable systems that does not disrupt the customer's environment, but adds to it. And we think if you know exactly the customer's outcome that you're trying to help them achieve, you can get there. If you don't have a clear understanding of that. I think vendors will try to push what they think solves the customer's problem and forces them to move to a new solution or a new tool or a new visual dashboard, that disrupts things. If you don't have everybody on the ground floor on up and agreeing to the new tools that they're going to use. They're just going to make things more complicated. How are

13:28

you addressing from a client perspective? All of this is great. All of those are wonderful solutions. And and quite frankly, if you're a manufacturer, if your energy, whatever, whatever industry you're in, you need to do this. No matter how painful it is, but you find trusted, you know, people companies to be able to help you with that journey. How are you? How's Hitachi vantara addressing this need for reskilling upskilling existing workforce?

13:59

Yes, the question. We have about 240 to 280 openings for software engineers as we speak. And it's getting increasingly difficult to find candidates to interview for get hired. We think that the skills gap is severe. We think it's widening every year, and the demand is out of whack with the supply. Yeah, we have a lot more need for competent, well educated engineers than the world is putting out today. As a result, not only us but we find our customers constantly investing in retraining of their workforces. One of the things that we are helping manufacturers do is establish a digital game bubble. Where you know, when a shift changes, you typically have the operators get into a room and to post it sort of drawing on a whiteboard, change the knobs and conditions at work to get them to yield that they did and what brought problems be observed in a machine. And all that information is usually just passed down to Macbooks, to conversations and institutional knowledge. But as many of these workers start to retire, and new ones are encouraged to join, there has to be a way to capture that information, we do that using what we call a digital camera works. It's a giant touchscreen, where inputs are recorded, is shared with other factory locations and other workers in other places. So now that knowledge is not only just best practices in that factory, and what happened on a particular day that got them a good result. But those learnings are captured forever used for training purposes, shared throughout the company, and is overall positive virtuous cycle.

15:44

If you see that you're you're right, I think supply demand that type of reality that test is impacting, specifically, let's say the IoT world, I mean, companies like yours, and others, and professionals like you and others, you you, you push the envelope in a positive way you create new use cases that were not there, because you realize that, hey, we got this technology, and hey, there's another technology we can, you know, marry them together in some way. And then we solve this problem, this is the use case, right? That, to me is a real sort of point of tension, because you guys are moving at a different rate than me. And, and I might be reviewing version one or two. And then you guys come knocking on the door and they say, Hey, we got version 15. That thing, but it's not. But that's what we have to do. And I sort of, you gotta grab that tiger by the tail, if I'm a manufacturer and just say, this is the reality of it, get going.

16:48

It is another great example of simple technology it uses in our booth right now, where we are going to be using LiDAR, you're counting the number of people and the flow, or the heading past our booth are coming towards the booth. Get out of here. You know, we are we have a live cover over two days. By the way, we shot three times as many people before lunch walking by our booth into certain direction than we did all day yesterday. Which means that today was just I think, heavier presence in the show not see today. Right? Yeah, you're right. So we've been doing this counting? Well, that information can be recorded. And and you know, we plan to share it with the organizers. So they know exactly which direction were people moving in? And that helps.

17:29

Okay, so just sort of sparked an interest like, where are the flows going? Right? Do they just naturally come this way? And go up? Or? Or how do you how do you lay lay out your conference floor so that your flows are really easy and sort of sort of the put us into the casino, you know, you get in there and yeah, check it out there just being able to sort of roam around. That's a hell of an idea.

17:54

We have all the reports, able to export them. And by the way, no personally identifiable information. And it's all live events. Yeah. So all we do is record the follow a certain direction versus another one and it gets recorded. That's just help the organizers next year plan to flow people better.

18:13

Yeah, but that means you're gonna have to put out other whatever LIDAR sensors in other parts of it.

18:20

No problem. All you need them is in a few alleyways. A few of the main out. Yeah. And you have

18:25

to come on by to see that dog. I think that's what I want to do. Oh, I will. I'm shameless. Absolutely shameless with that. Oh, my gosh. So we've got a lot of stuff happening at Hitachi Ventura. This is the first time you're at the show first

18:39

time you me personally at this show. Yeah. She's been here. Hitachi has been a number of times. Yeah, you guys are still responsible. I'd be our silver sponsor of the show.

18:51

The silver. See, it's cool. You guys rock man, I got to tell you my perspective. There are many companies that I work with, and all of them absolute joy, don't get me wrong. But I find Hitachi Vantara always been very innovative. Sort of never stopped thinking has a passion to solve problems, help companies succeed. And and I think that that's an admirable quality or culture that exists at Hitachi Vantara. How do people get a hold of you should make

19:28

should make doc Mehta and Hitachi ventura.com are on LinkedIn. I'm on wireless. Next.

19:34

Thanks a lot. Good man. That's exactly it's better to meet you in person as opposed to on a terminal monitor or whatever it is. All right. Once again, you're gonna have all the contact information for some eek out on industrial talk.com. So if you're not, you need to get a hold of this gentleman need to get a hold of Hitachi Ventura, and begin to that digital journey. It is a must. They'll make it as painless as possible, but just recognize that decision has to happen. Again, we are broadcasting From the IoT solutions World Congress, it is an exceptional event. You get to meet people like Shamika and others who have a passion to help you succeed. So put that on your bucket list. We're going to wrap it up on the other side. So stay tuned, we will be right back. You're listening to the industrial talk Podcast Network. Again, thank you very much for joining industrial talk. Shamik Mehta. Go out to his backyard. By the way, I'm looking at it right now. LinkedIn, and it looks like he's got a new mug shot out there looking quite dapper. Shimmy, you gotta connect with them. They never stopped thinking that Hitachi Ventura and that is a wonderful thing. And you need trusted individuals, as I keep on saying, to help with that digital transformation journey should make doesn't disappoint, go reach out, please do that. Also, the industrial talk, expanding ecosystem, it is a platform that celebrates you each and every day, you need to be a participant in it. Because we need you to collaborate. We need for you to continue to innovate, you need to continue to solve problems. And that is a collaboration, conversation. So industrial talk is here for you. Go out to industrial talk.com. Connect with me. See how we can get you on the podcast, have a conversation or two. It's wonderful. And we truly appreciate what you do in industry, in manufacturing in oil and gas. And I think there are a lot that just amplify your message. All right. Homework Shamik Mehta, you got to reach out to him, connect with him. All right, be bold, be brave, dare greatly. And you're hanging out with Shoemake and others within industry and you're gonna change the world because you are. So that's what you're all about. Thank you very much. Once again, for joining industrial talk. We're gonna have another great conversation from IoT solutions World Congress Barcelona, you can bet on that.