Posted by Jay W. Curry

Paul Solano, CEO of Smart Now drops by to give us some insight into how they handle big data analysis in real time.

Please excuse any typos in this hasty transcript.

Jay Curry: Hello, Texas. Welcome back to Texas Business Radio. We got a great program going today. We’re having a lot of fun, and this is gonna be a very interesting, and almost futuristic type of segment we’ve got going here. But before we get started let me remind you that you can go to everything we do, everything we say, even videos of what we do, our guests, everything’s there at That’s where you want to go if you want to know anything, or see anything we have done. It’s all there. However, if you got an urge and you want get a quick call in, we do monitor 844-814-8144. You can call in 24 hours day. We don’t really care. We will take the question, we will get the answer, and we will get it on the air for you. That’s 844-814-8144. If you want to tweet us, #TBR as in Texas Business Radio, #TBR. But everything is at
Okay, let’s get started. We’ve got an interesting guest, Paul Solano. Am I even close?

Paul Solano: Yeah, yeah. Good enough.

Jay Curry: Very good, yeah. Who is the CEO, manager, what’s the official title? Do you have it all?

Paul Solano: Yeah, pretty much. It’s more…

Jay Curry: Bottle washer and everything else.

Paul Solano: That’s what it is, yeah.

Jay Curry: Paul’s kind of the founder and CEO of a very interesting business, which is going to explode. It’s called Smart Now. Folks, we’re talking big data. You’ve heard of the internet of things, you’ve heard about Blockchain, big data is gonna be right there with it. It all ties together. So, we’re talking about something that’s gonna really revolutionize this world in the next three or four years, and you’re in the middle of it. Thanks for coming on board.

Paul Solano: Oh, thank you for having me over here.

Jay Curry: So, the question Paul, is what is Smart Now? What the heck are you guys doing with this stuff called big data?

Paul Solano: Yeah. Smart Now was born on the idea that beyond just being able to analyze large amounts of data, you want to be able to do that as data is being produced. Lots of industries produces massive amounts of data. And yes, it’s great to have the data sitting there in a data warehouse, or a data lake, and drawn interesting analytics on them. And then figure out and say, “Oh, you know we could’ve done this.”

Jay Curry: Exactly.

Paul Solano: What if we have done that we might’ve avoided this risk, or stopped this from happening, or maybe increased or revenues because we could’ve done that. So, the dream when we started this a few years ago, and the idea grow in between me and a couple of partners, on that is not good enough. We need to be able to take action right when the data is being produced. And reduce that window of decision making from days or months, sometimes, to minutes or seconds, so that you can make that call. You can make that call that will you save you money, that will make you more productive. And that started the whole things spinning.

Jay Curry: And isn’t that really what this is all about? Because when the internet of things comes, when a sensor senses a fire, you don’t want to have that data slapped out, printed out the end of the month, given to you so you look at it at the tenth, and find out your house burned down three weeks ago. The real key to the internet of things, big data, Blockchain, is instantaneous. “Wow. A sensors gone off, we gotta call the fire department.” Same thing with … it’s like the banks. Huge amounts of data, but you don’t out that somebody’s been in and done fraud with you until you get your statement a month … This is all about quick, immediate … So, big data analyze as it comes it, not down the road.

Paul Solano: Not down the road, exactly.

Jay Curry: Now, this has got to take a lot of talent, and a lot of heavy equipment, and sensors, or … How does this work for a company?

Paul Solano: Well, believe it or not, IOT is coming to provide as a newer, more open way to tackle the problem of sensing what is going around in the world. That is not new, most industries, oil and gas, utilities, stock exchange, et cetera, already heavily monitor or instrument it, right? And they’re already producing massive amounts of data. Most of that data, again, is going into what they call a historian.

Jay Curry: Right, archive.

Paul Solano: Because it’s just to keep the history. Instead of going into a brain that gives you insights into the information. So, that is where we’re trying to start tackling the problem. First, starting with these industries where we know the information is there. Most likely the information is not well organized, not well kept or processed. We come in, we help the organization connect all of this, put it through our pipe, and start applying analytics and business rules to how the data is then understood by the system. And how it is transformed into real value, inside, for your company. And that is happening in every industry. You made the example of the financial space, and down the road when we started this, a friend of mine made a comment that I always keep in my mind. And it is, when you do accounting, accounting is the art of managing your business as if you were driving looking through the back mirror.

Jay Curry: Yeah, the rear view mirror, exactly.

Paul Solano: Yeah, exactly. “Look to the front!” “Oh, no. I can’t. I’m looking backwards. Because I’m making decisions based on last months, or maybe three or four weeks back.”

Jay Curry: Three weeks, five weeks.

Paul Solano: Right.

Jay Curry: The whole of the big data is to get this information. What industries? Its got to be a place where they’re collecting a lot of sensors, I’m thinking oil and gas. They know what’s going on in that well, and they’re collecting data all the time. That’s probably a good industry. Are there others?

Paul Solano: Indeed. Actually, that’s one of our first use cases here in the US. We worked in partnership with a company specialized in data collection and data analytics on the oil and gas space, in the drilling process particularly. And we did a product with them, they are marketing already that product, and they’re processing real time data for hundreds of wells that are being drilled around the world, and they’re processing that data around the world as it comes through, and making smart decisions instantly.

Jay Curry: Are there other industries?

Paul Solano: Yes, we’re already working on multiple projects and pilot projects with the utilities space. Again, utilities for instance electric utilities is a perfect use case for this. A lot of opportunity to improve the network usage and reduce the lost of energy due to back configuration in real time, detect fraud, which is a very common scenario in the utilities space, and there’s where they’re looking into this. And we’re very strong partnering with industry experts, industry companies, that know their business, and know where the pains are.

Jay Curry: And need faster access.

Paul Solano: And need faster, and need the engineering, the computing capabilities to really leverage that. Because, yeah of course, there are hundreds of different solutions out there. We think we have a solution, we have proven that we have a solution that can put something on the market very quickly and effectively from them.

Jay Curry: So, effectively, you have a platform. You have the ability to bring the data in and that has to be defined for each client, so you’re kind of open doored there. And what thy get out the back is somewhat defined. They get dashboard, they get … you can actually turn on other things with sensors. Like you need to make emergency call. But in the middle, where the analysis in the brain, that’s your specialty area.

Paul Solano: That is the core of our expertise and where the platform is uniquely positioned. And one important component is the ability to even take data analytic, and that data degration, down to the edge. We can take our engine and out it right on the edge in a tiny computing component, but we can scale it up to hundreds of machines in a data center. So, the flexibility, that elasticity’s part of the key of how we engineered the platform from the get go.

Jay Curry: Yes, this is just classic futuristic things that you’re trying to actually implement today. And it’s big stuff, it’s big stuff. And congratulations. Now, if I’m a company and I’m wanting to get into the internet of things, and big data analysis, and get where I can make decisions quicker, almost instantaneously, I want to talk to you, how do I get a hold of you?

Paul Solano: Yeah, you can look into our website,, or I’m always available at my personal email And there you will find also my phone number here, local in the US, and the companies phone number here in the US. We have offices also down in the Costa Rica and we’re starting operation in several countries in Latin America as we speak.

Jay Curry: Okay. So,

Paul Solano: Dot tech.

Jay Curry: That’s it, folks. We’re gonna have to break. This is business interesting. Paul thank you for coming in and enlightening us on what the big data’s all about. This is good stuff. We’ve got to go pay some bills, folks. But we’re gonna be right back. Don’t go anywhere at all. This is Jay Curry. We’ll be right back.

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About the Author
Jay W. Curry

Jay W. Curry

Along with hosting “Texas Business Radio”, Jay is a Professional Certified Coach and Master Chair facilitating four Houston-based Vistage peer groups. In addition to being a best selling non-fiction author, the 2015 release of his award winning novel, Nixon and Dovey: the Legend Returns, adds novelist to his title. Jay holds a BS in Mathematics from Oklahoma State and an MS in Computer Science from Kansas State. You can learn more about Jay HERE.

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