Using Data Analytics and AI to Make Buildings Smarter in 2023

Join us on Episode 407 of ControlTalk Now, where we explore the latest developments in data analytics and AI with Ping Yao, CTO of Optigo Networks. Discover how these advancements are revolutionizing the way we use data in smart building controls, and how they’re ushering in new opportunities for industry professionals.

Ping also gives us a sneak peek at some exciting new products coming soon from Optigo, so don’t miss out on this valuable insight. Tune in now and get ahead of the curve in the ever-evolving world of smart building technology.

I’m excited to share that I created a new

Podcast called Legacy Voices: Passing the Torch.

I interview industry veterans that are will to pass on knowledge and wisdom that only comes from many years of hard work. The first episode will drop later this week, so stay tuned to ControlTrends.

Thanks to This Weeks Sponsor: Lynxspring

Want to sponsor a ControlTalk Now? Click here to find out how.

How data analytics and AI are revolutionizing smart buildings in 2023

In the world of smart buildings, data analytics and AI are changing the game. With advanced systems and sensors that collect and analyze data, buildings are becoming smarter, more efficient, and more sustainable. If you want to learn about the latest trends and innovations in smart building technology, we’ve got you covered, so be sure to subscribe to our YouTube Channel.

In 2023, the use of data analytics and AI is expected to become even more widespread in building management. By leveraging AI algorithms and machine learning, building systems can automatically adjust to changing conditions and optimize energy use. This means lower costs, improved environmental impact, and better overall building performance.

So how exactly is this technology being used? For starters, smart building sensors can collect a wealth of data on things like temperature, humidity, occupancy, and energy use. This data can then be fed into an AI system, which can analyze patterns and trends to identify areas for improvement. For example, the system might notice that a certain area of the building is consistently too hot, and adjust the temperature accordingly.

Another way AI is being used in smart buildings is through predictive maintenance. By analyzing data on equipment performance and usage, AI systems can predict when maintenance is needed and alert building managers before issues arise. This can save time and money by preventing downtime and extending the lifespan of equipment.

The possibilities for AI and data analytics in smart buildings are truly endless. Whether it’s improving energy efficiency, reducing costs, or enhancing occupant comfort, this technology is changing the way we manage buildings. So if you want to stay ahead of the curve in the world of smart building technology, be sure to follow us for more updates and insights.


Hello, and welcome to episode 407 of control talk now where we discuss all things HVAC, smart voting controls, including sales and marketing money. My name is Stromquist. And this week, we’re gonna do a deep dive into data, everything from how data analytics has changed the best tool for troubleshooting a back net BACnet network, to how smart building controls professionals like you and me to be using AI to make data and data analytics, one of the most useful and profitable services we can offer our customers and the perfect guest for this week. His name is Pingyao. And he’s from a company called optical networks. Think we’ll be up a little bit later to chop this up with me. But before we get to paying, I want to tell you about a new podcast I have created called Legacy voices passing the torch actually got the idea from some time ago, from one of the greats in our industry, a guy named Paul oz. Well, were heard speak and he said, tribal knowledge is leaving the building. And how one of the biggest challenges we face as an industry is how do we capture that knowledge and pass it on to the next generation. Paul’s words have haunted me for years. And it gave me pause. And I begin to think that we have so many great successful leaders in our industry that are retiring, and then decided to create this podcast. And we’d focus on the lives and wisdom and knowledge that these individuals have learned throughout their journey. And that we could pass it on to the next generation of control plug control pros. So I’m super excited and fortunate to have one of the our industry greats Pat Marsala from Eminem controls, who recently retired. He’s going to be my first guest, and the first episodes gonna drop later this week on control trends. But here’s a sample. You know,

Unknown Speaker 1:47
hello for Brent.

Eric Stromquist 1:48
Why do you call John the loaf of bread? I mean, he was he was because when you need Yeah, go ahead.

Pat Marsala 1:53
Yeah, because of the way that he explained marketing was with a, you know, a loaf of bread and some had some bread. They were all different prices. But it was all bread. You know? And how does it get to be more? How did you get? How come you paid $3 For this bread that’s in a not clear plastic bag. And this one doesn’t have crust on the edge. And this one, you know, has grain in it. And this one has, you know, something else in it. So you know that 59 cent loaf of bread is now a $3 loaf of bread. And why do people pay $3 for a 50 cent loaf of bread? It was it was very interesting. John said,

Eric Stromquist 2:44
well hang on a second now. Now. Now you got me super gear says John says it was brilliant to your point. But absolutely. Why do people pay $3 for a 50 cent loaf of bread?

Pat Marsala 2:55
Because they think it’s better. They think the grain and the whole wheat and the rice and the pumpernickel they think it’s better might not be then again, it doesn’t really matter. Because if you think it’s better, it’s better. Yeah, and you’re gonna pay more for it. And you’re glad to pay more for it.

Eric Stromquist 3:15
Wow. John says, well, competitor, first two was one of the greats from Honeywell. And if anyone knows how to get ahold of John, I want to have him on legacy voices, untold, Pat, about the loaf of bread got me thinking, as a teacher, man used to say, when it comes to your customers, perception is reality, and you don’t get a vote. So I take that, among other things to mean, it doesn’t matter what you think about your product, your pricing, or your customer service, it only matters what your customers think. But how do you know what they really think? This is another aspect of data collecting, that you got to get good data to make good decisions about your product offering. If you’re a vendor, you know getting the right product price mix, as well as the right features, as well as who and how you market the product to determine to a huge degree how successful that product will be. So how do most companies do it today? will pretty much the way they always have customer surveys, sales reps coming to customers spending or spending money on marketing research firms out of this, how most of us done it in the past, but does it really work? Well think about it. How do you really know what a customer is thinking? Who among us takes the time to put any thought into a customer survey? Maybe occasionally but for the most part not not? Our when a rep sits down with you and and starts asking you questions. Are you completely engaged in telling them what you really think? How many times do you ask a customer they say oh yeah, your product and price are perfect. don’t change a thing. Or they say change everything. For the most part. People tell vendors either what they think they want to hear because they don’t want to upset add them, or they just want to get on with their day and don’t really have time to do much more with the survey. And I know that’s what I did most of the time when a vendor came in asking those types of questions, or they suggest changes, radical changes, and, but they don’t take the time or disclose, well, if you make all those changes, how much more you’re gonna buy. So maybe take that advice, make a bunch of changes, and your sales don’t change. So getting good intel is tricky. I know where a good distributor can help, but only the distributor hands multiple brands that compete with you. And here’s why distributors should have good relationships with their customers go in and sit down with him and say, Hey, as you know, we handle both ran a, b and c, and they all do pretty much the same thing. So what is it about brand B that has you buy it all the time? They have no obligation or motivation? Other than just give you the straight skinny, whereas when a manufacturer is asking that question, their answers might have other motivations. I remember years ago CGA controllers Group North America a group of the largest and most successful distributors on the planet had a program in which one of their vendor members could come in and they could have a list of like five questions they really wanted to get the straight answer to about a product, maybe they saw, like give those questions in the distributor, each distributor would go to 10 of their best customers that they could sit down with the head of relationship with. And they would ask those five questions, and they get straight answers. And I remember the results were astounding. One year veteran who had spent something like $100,000 with a market research firm was dumbfounded when they discovered that the actual decision maker for that product was not the one that the marketing research firm had identified. And that the main reason that the customers were buying the product was not the one that the market research firm came up with either. So think about it garbage in garbage out, is critical that you get good data. So make sure you’re getting good intel. But how do you do that? I’m not sure in today’s market, but maybe connect with Sarah Malone if her entertainment CGA can help you with that. Before I get to paying a quick word from this week’s sponsor. Link spring embracing open software and hardware platforms Lynx brain develops manufactures distributes into port ed to enterprise solutions, and IP technology. They create smarter buildings, smarter equipment, and smarter applications. The company’s Genesis edge programmable IP controllers, for buildings, equipment, unitary plant Vav, and more is the industry’s first hardware portfolio. It ported the Niagra framework on to hardware other than a Jace, which includes a full Niagra stack, built in expandable I owe in multiple licensing options, when combined Genesis edge devices enables or Niagra IP, horizontal topology, and architecture. For more information about link spraying, go to www dot links Thanks for Thanks spring for supporting the show. And if you’d like to be seen and heard by the global control trends community, click on the link in the show notes and find out how to be a sponsor of control talk now. That’s my pleasure to introduce Pingyao from optigo networks. Oh man, I’m so excited with my guests this week, an old friend I haven’t seen in a while Pingyao, the CTO and co founder of optigo networks. And first of all, welcome ping. It’s great to see you. Thank you.

Unknown Speaker 8:29
Great to see you again.

Eric Stromquist 8:31
Well, it looks like we got a little title change here. Tell me about that.

Ping Yao 8:36
Eric, as I said, we’ve known each other a long time. I’ve known a lot of people in this industry a long time. And I’ve got that question. It’s very simple. I mean, a company had grown to a point where we needed someone that is the next CEO for the company. So a couple of years ago, we brought on a CEO by the name of Joel Schuster. And Joe and I work great together for a couple years company had grown a lot. We build a sales team, we built more development staff. And we added a customer success team and all this stuff. And got to a point where I realized that I wanted to focus on the technology customers. Joel was really good at managing all the moving parts, legal side operation, all these things. And so it just makes sense. So Joe took on the role of CEO, and I moved over to role of CTO to focus, as I said, on what a product does, how our customers use it and how we can impact the industry. It’s that simple. So that title change hide me

Eric Stromquist 9:38
well first, it would make a lot of sense man Apple computer didn’t really get going until Steve Jobs who reminds me a little bit of you kind of the Creator and innovator brought somebody else in a sort of run the day to day operations and make sure all the wheels didn’t fall off the bus while you were driving warp speed down the road. That’s a pretty good

Unknown Speaker 9:59
path to follow. If I could do the same

Eric Stromquist 10:01
thing, you just don’t need so many apples. Oh, man we can’t get we can’t have you getting sick like he did. No, no, no, we don’t want that. No, we’re not we don’t want no. Well listen for, you know, our audience might not know Campbell about what optical networks does.

Ping Yao 10:14
Yeah, optical networks. As I mentioned, we’ve been in business for about 11 years, when we started the business, the three of us, we had a very simple vision, we wanted to create and deliver a full stack networking solution for this industry. I mean, to find this industry, we started with smart building industry, we’re moving into general operational technologies that may include light industrial, even in smart cities in the future. But we realized that the networking fabric that’s required for operational technology is so different than the requirements around it. So I’d have to go we deliver what we call three layer networking solution, the physical side, because switches their routers, to connect the actual controllers and VVS and computers and, and Wi Fi access points for this industry. The second is the stockwork managed network, okay, I want to segregate this and segregate that on manage my IP addresses all these things. And the last layers, we’ll call network monitoring. How do we know that the data that’s carried over this network works and gets there properly. So that’s what we do. In short, we’ve been, again, moving towards this full stack vision for a few years. And in the end, we delivered that in the form of two products. One is optical Kinect, which we’ve been delivering to this industry through distributors and system integrators for a few years. And a product by name of visual BACnet. For I think we’re going on seven years this year, anniversary of visual BACnet.

Eric Stromquist 11:46
Well, you know, visual BACnet, I remember that from you know, a couple years back last time we spoke. That’s such a cool product, because you know, troubleshooting any network but especially a baton BACnet network can be kind of tricky. Talk about how that works a little bit paying.

Ping Yao 12:01
Oh, yeah, Thanks, Eric. You know, it’s funny, you bring that up, because we always had the vision of how do we use a data inside a network to help our customers get more out of their system. It wasn’t till we were talking to a few people in industry, and seeing them pull up their laptop, what we call Wireshark, which is a tool that the IT industry brought out in late 80s 1980s, that we realize Holy crap, that data and the networking aspect of this industry is is it’s like reading Chinese is very, very complex. So what visual BACnet does is we basically are, we’re a Wireshark, on steroids, we help you make sense of all the information is carried over to network. We look at the actual packets we do we dissect the packet of one after the other one, and we line up, you know, packet a and packet B and its lineup correctly. Are there any conflicts? Are there any delays or bottlenecks, and our users can use our software to help them clean up their system, improve the performance? Find who’s the culprit? Are there changes over time, all these things? Yeah,

Eric Stromquist 13:13
that was cool. And it’s very visual. So you know, it’s very intuitive when you look at it. And I think anybody’s ever had to troubleshoot a BACnet network would really appreciate this, right?

Ping Yao 13:23
Yeah. Again, the best feedback we can get when we talk to the new user is, where have you been? If I found this in this job, but that job, I could have saved a weekend of my life, I could have saved a month of my project, exactly. Like you said, it’s, you know, we help people make sense of the data or try to make them a visual way. There’s always better ways to do things. But I think we’re that first tool for this very, very important side to the business.

Eric Stromquist 13:56
Yeah, I think you’re definitely the, what just call you the iPhone or the industry, right? And you know, to use a metaphor, so to speak. I mean, it’s to me, it’s that revolutionary with the way you guys do things. It’s literally like comparing an old flip phone back in the day to an iPhone, it’s really cool stuff. And I guess, you know, pick one of the trends that we’ve seen, they’ve been tracking for a long time as data and data analytics. And, you know, boy, that’s even changed, like, what new trends are you seeing in data and data analytics? Oh,

Ping Yao 14:24
well, I think data and data analytics has moved from a trend to reality. That’s that’s really good. We’re seeing businesses truly use analytics for many purposes, whether it’s energy improvement or tenant comfort, all our even just simple billing. But as you said, to be able to do these analytics, you have to have the underlying data. And unfortunately, these systems, systems being one of them, could have been built without the mindset that the data in the system needs to be extracted very Rate, a lot of data needs to be pulled out. Maybe the system was really just designed for command and control, I want to turn on something, I’m gonna turn off something, you know, once every few minutes. And now, you know, a smart kid comes along as like, I’m gonna pull this temperature every five seconds. Can I do that? Well, I can do in one room. What if I do 10? Rooms, whatever, 1000 rooms, and now it falls apart? So I think to answer your question, Eric is we’re seeing first of all, is going from a desire to reality, which means now more and more data is coming along, which also means that now that the importance of this data is now become reality is it’s hit the business operational side, where CFOs, and CEOs are expecting disinformation to help them run their business, and then it falls on their face. So we are benefiting from this trend, where people are realizing that they need this data. But the data doesn’t work. Because the network is flaky. The network has performance problems, it has stability issues, and so they use product like ours to help them clean up this underlying system to provide that data they need.

Eric Stromquist 16:06
Yeah, it’s a little bit back in the day when people were mining for gold, right? I mean, it’s like, you know, to your point, I think when BACnet, when some of these protocols were first developed, nobody was thinking about extracting data. So it’s not only like you guys know how to get the data out, but you also know how to put gold in the data. Right. So that, you know, it helps them on multiple ends. And, you know, I really concur. I think that data analytics is so important on multiple levels, one of them paying vein that so many companies now, you know, their social responsibility management, or prove that they’re being socially socially responsible to say these are these sustainability, to have these data points where they can show how they’re helping decrease the carbon footprint is critical to any major company, or any company’s brand, right?

Ping Yao 16:54
Yeah, I’ve said it before that, I think the smart building initiative has moved from, how do I save money on energy to one of the aspect of it is just social responsibility, like you said, Eric, you know, we at home are able to ask a smart speaker to turn on our lights, yet we walk into our industry, and there’s a light switch on the wall, we are able to tune the temperature in our rooms at home to the perfect level, get we walk into a shopping center is too hot, it’s too cold, whatever it is. So there’s a social expectation now that these systems work better. And that’s contributing to the continued growth in this industry. Because it’s not just having to prove that I can save you a cent on energy, but be able to prove that I’m consuming the energy responsibility. I’m providing an amenity, to the level of expectation that people have.

Eric Stromquist 17:57
Well, I don’t know about you. But remember before COVID and pre COVID, you know, paying clients, I would talk to your right, they were interested in saving energy, and let’s do it as inexpensively as possible. And then I think when COVID hit, everybody went home and got used to working from home. So now these, you know, real estate owners are going well, how do I get my people to come back into the building? And I think data holds the key to that, right? I mean, so you know, now they’re more concerned with this make the space where people want to come to work, and one of the big things is really come out recently, I read a statistic the other day paying that, you know, I think 85% of people get sick at work or school, right? I mean, that’s yeah, so. So if you can extract data through a process like yours about, you know, ventilation being properly done, so people know, hey, if you come to our work, you’re 10 times less likely to get sick than if you go to somebody else’s office. That’s gonna be a huge selling point, right?

Ping Yao 18:52
Oh, yeah. No, you’re absolutely right. The again, I think the real estate industry had been dreaming of these applications and analysis necessity, right? Yes, more than just providing someone a desk and lights and, and air. But it’s to provide these amenities that they can’t get a home, or is at least as good as home and creating an environment that they want to be part of, and collaborate with others be part of an environment, away from home with their colleagues, with their friends, with their, their, their, you know, collaborators and everything?

Eric Stromquist 19:31
Yeah, I think I think if I was going to be marking for building today, I look up with people like you and get really good ventilation and will be called the safe place. You know, you’re worried about the next pandemic, no worries come to our building. We got the best airphone filtration and best snacks anywhere in the world. Right. So

Ping Yao 19:50
I think the the other thing is that now and only saying it, it’s not enough, you have

Eric Stromquist 19:56
to show it, well said and that’s where the data comes in.

Ping Yao 20:00
So let’s say, I mean, they were to walk into a building, we rarely, but once in a while you walk in and does this. No wall of data shows this building is more efficient than others. The air quality is this level. And the fact that this is real dynamic data, it just makes you feel good at being part of that, as opposed to having a poster that says that we are LEED Platinum.

Eric Stromquist 20:24
Yeah, yeah, absolutely. You know, I’m with you. We put a system in a big building in Atlanta years ago, through one of one of our contractors. And one of the big things we had was a big dashboard, right in the lobby, the client asked for this right in the lobby, right. So you walk in, and you saw my agenda was being saved, and so on and so forth. I cannot think of a better advertisement. I mean, if I was, you know, selling commercial real estate space that I would, that’s a no brainer, right?

Ping Yao 20:52
Yeah. And I would say, on that note, this is the opportunity in this industry is that, again, we have the ears of the CFOs, and CEOs and CIOs of these building operators, it’s our chance to showcase the data, the systems that we’ve been operating. And again, I haven’t been part of this industry for I mean, I’ve been part of the industry for 11 years. But someone, some of us have been in industry for decades. This is their chance to shine their light, this information, show them that they know what kids are talking about IoT systems or 1000 device? Well, yeah, my campuses have 30,000 connected devices. And that’s been true since the 90s. Pulling more data than than an iPhone, you know, it’s pretty good.

Eric Stromquist 21:37
When we’re the only industry is really making things more sustainable, right? I mean, if you want to save the planet, you need to be you need to be in our industry.

Ping Yao 21:44
Where, where, where the rubber hits the road? I think back then, yeah, what you were saying earlier, how energy sustainability ESG, right, whatever the new term is, of the of the day. A, it’s a very real thing, a lot of these corporations and institutions have these very important initiatives. But when they come up with these programs and goals, when they actually put it to implementation, it comes in this industry, okay, we need to change the setpoint, we need to change the, the, their, you know, the amount of outside air, we need to change the way it behaves. When these people are dreaming up how something works. We are the one making it work, and it’s on us to make it work. And again, the data is super important to them. But it’s also our chance to show them we’re able to give them this. Right.

Eric Stromquist 22:41
Well, well said, well paying, let me ask you a question. I understand. And since data is your business, among other things, that not all data is created equal. Talk to me, if you will, about the importance of getting good data.

Ping Yao 22:56
Ah think. Okay, so in data science, there’s one aspect of data engineering, data engineering is the person who’s just cleaning up the data, who’s normalizing the data so that the person who’s analyzing the information that data can do the job that they want. data engineering is so important to know that the data you’re reading is true and accurate. Right? So if I’m reading what I think is the temperature in this lab, but I’m actually reading temperature from a different room, the person who’s analyzing the data, how can they know? Right? If I’m expecting data continuously, but I have drops along the way, I you know, I lose one point, every time it works, sometimes last Saturday mornings doesn’t work. We’ve kind of come to live with mediocrity. That’s that’s not that’s not okay. So, I think coming back to let’s clean up the infrastructure, let’s make sure that the roads, the highway, the network, that that that is riding on, so that I can get every point from the right place and gets there on time is super important. Because if we’re not doing that the decisions we’re making eldest information is incorrect.

Eric Stromquist 24:13
On bad data, so in essence, you guys your product is kind of like the superhighway, right?

Ping Yao 24:19
Yeah. We like to call it kind of the ways of the Google maps of the highway and is great in we’ve often helped people understand that networks been built for a long time and data on it has always been in existence. But it’s like this highway have never had streetlights you never had standing of the traffic. And now you have one lane road. Exactly, exactly. So building that one lane road into a three lane road without managing and understanding where the traffic goes, might not solve your problem. So yeah, we’d like to believe that we are kind of the police of the highway. Yeah,

Eric Stromquist 24:55
well, that makes sense too. Because yeah, again, you get more you get more lanes in the road, but people don’t know it. to drive better, you’re not policing the highway, you just have more accidents, right? Because it’s very true. Yes. Well paying, how are you seeing AI? Is that affecting what you’re doing at all?

Ping Yao 25:11
Oh, yeah, very much. Everyone’s using some form of AI. Whether you know it or not. That’s the truth. I think the interesting aspect of AI is that we have so much data now that we have to understand how AI may may amplify biasing. So if you’ve made wrong decision with that data, AI might make those wrong decisions even more often, because you’re guiding an AI engine to make decisions. If the data is marked as again, let’s use that example. It just this information is coming from Lab A, right but truly is not AI cannot determine that it’s not from the right place. And it’s going to amplify bias these decisions even more, right, unrelated to industry, but like for example, AI in HR, or in hiring is kind of a taboo subject right now, because it amplifies our bias. Yeah, AI. Right. It just makes decisions faster. So I think that’s an interesting trend.

Eric Stromquist 26:20
Yeah, no, no, I would think so. And yeah, and again, I think it really emphasizes the importance of having good data, right? Because if you’re, and I think more and more of us are gonna rely on AI to analyze reams and reams of data to make conclusions. But if the data is not right, they is the AI AI is only gonna be as good as the data you put into it. Right?

Ping Yao 26:40
That’s exactly correct. Yes. Yes, it can. It can do some extrapolation, it can look outside of it. But again, you do need good data for it to train on. Yeah. It’s, it’s a really, really nice, simple,

Eric Stromquist 26:54
what can we expect from up to go?

Ping Yao 26:57
Great question, Eric. Thank you. quick sneak peek, we are working on a new product. It is set to launch later this summer. It is called optical vn for visual networks. So we’re using the name of visual BACnet that we’ve built and branded for last seven years, and we’re gonna build on top of it. I think you can kind of read between the lines, we’re gonna go beyond BACnet. One of the very, very important aspect is just taking the learning that we had in the last, you know, many years and how do we build a product that is easier to use, with better insights, and easier to use, the biggest thing is we’ve been very good at pointing out what you’re doing wrong. But we haven’t been very good at pointing out this hotshoe fix step How should do things differently. And so optimal VPN later this year, it is moving towards how do we help you understand what to do, not just what you’re doing wrong, but using this information to decide what to do with it. And of course coming out

Eric Stromquist 28:00
confirming it. Are you going to be any shows here in the next year or so? Yeah.

Ping Yao 28:04
I’m excited. I’ll be going personally to controls Con . I’ll be there. I’ll see you there. Excellent. Yeah, looking forward to that again, it’s really fun to go back out there I mean, I know you and I both HR we didn’t get the chance to run into each other so fun to be there and see so many people yeah it’s definitely back in full swing will be at real calm I don’t know if my persona will be there but will be a real calm for sure. And now my new role and the new title I’m able to focus on what I think I’m good and what I like so you’ll probably see more of me not less as great.

Eric Stromquist 28:38
That’s great well as your hub so we’re paying for our listeners out there wanting to find out more about optical networks but best website is would you send to a website or local distributor or both?

Ping Yao 28:52
Both again if you want to learn more come to optical dark net. But when you go to optical not net on the bottom right hand side you’ll see a yellow icon for chat. A Chat does not go to any AI actually comes to us as

Eric Stromquist 29:06
people a real person Okay.

Ping Yao 29:07
We will personally go on and say hi, I will answer probably not on vacation but I will answer other than that if you are working with local distributors, we are working with most distributors in the US and Canada already a larva system integrator. So if you’re an end customer here and building user building operator, ask your system integrator about us. We probably are working with them already. But yeah, if you want to learn more just come to optical dark net. Say hi, I’m the little yellow chatbox some nice, yeah,

Eric Stromquist 29:42
that’s my good friend. Thank you so much for taking time on your vacation to talk to our community. Really, really appreciate it paying. Thanks so much. Thank

Ping Yao 29:49
you for doing this for the community. Thank you for having me. It’s been really great to see you but we’ll see you in a couple months.

Eric Stromquist 29:55
And I’ll see you in Detroit. Well there you go. That’s another week on control talk now your smart buildings video Yo cast in podcast, be sure to look for the first episode of legacy voices to drop this week. If you haven’t already subscribed to the YouTube channel, you might want to do that. That’s the first place you’re gonna get it. Especially thanks to Pingyao if you want to be a sponsor this show, please reach out. Click the link we have some control spots left. The website’s about six weeks, the redesigned website is about six weeks out it’s going to be great there’s gonna be plenty of advertising opportunities there as well. So stay tuned and thanks for tuning in and remember Be bold, stay in control, stay relevant, get good data. And as Hunter Thompson used to say, buy the ticket take the ride


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