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Speaker 1: Well, we are aiming to become is a platform where

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Speaker 1: it has a digital twin of your job site, and

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Speaker 1: our software and our technologies that we're developing is pushing

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Speaker 1: towards closer and closer to real time data capture. Welcome

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Speaker 1: to the restless ones. I'm Jonathan Strickland. I've spent more

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Speaker 1: than a decade really learning about technology, what makes it tick,

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Speaker 1: and then describing and explaining that to my audience. But

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Speaker 1: it's the conversations with the world's most unconventional thinkers, the

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Speaker 1: leaders at the intersection of technology and business, that fascinate

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Speaker 1: me the most. In partnership with T Mobile for Business,

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Speaker 1: I explore the unique set of challenges that see I

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Speaker 1: o S and C t o s face from advancements

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Speaker 1: in cloud and edge computing, software as a service, Internet

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Speaker 1: of things, and of course five G. We are often

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Speaker 1: left wondering how all the leading minds in business continue

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Speaker 1: to thrive. Let's find out. Our guest today is David Chen,

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Speaker 1: chief Technology Officer of Skycatch. Skycatch uses drones to capture

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Speaker 1: precise images of work sites. Like minds, Using drones, the

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Speaker 1: company can create a three dimensional virtual image of a location.

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Speaker 1: Skycatch has clients all over the world, and David's job

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Speaker 1: is to make certain the company's tech can deliver the

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Speaker 1: solutions to client challenges. David, thank you so much for

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Speaker 1: joining us today on The Restless Ones. Yeah, thank you

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Speaker 1: for having me. It's a pleasure. And before we jump

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Speaker 1: into everything that you do, it's always fun to get

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Speaker 1: some background. I love to ask this question, what first

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Speaker 1: got you interested in technology? UM? I think it was

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Speaker 1: around seventh or eighth grade. My my dad was doing

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Speaker 1: his p HD at Harbor at the time, so he

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Speaker 1: had access to dial up through through their They had

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Speaker 1: a p PP dial up, so this was the real

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Speaker 1: Internet and I was able to browse the web learn

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Speaker 1: how to make a web page. Geo Cities was the

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Speaker 1: first thing I built a web page on. That's why

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Speaker 1: I learned H T, M, L C, S S and

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Speaker 1: that's how I got started. Uh. Oh, you're taking me back.

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Speaker 1: It's like it's like I've got into the literal way

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Speaker 1: back machine with Geo Cities. What was your first job

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Speaker 1: in tech? My first job in tech was in high school.

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Speaker 1: I worked for a local web development company and at

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Speaker 1: the time, the Internet was still mostly directory base so

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Speaker 1: Yahoo's and Ulti vis does and um so. The company

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Speaker 1: I worked for, uh we built our own portal engine,

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Speaker 1: so that's what I worked on, and I learned PHP

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Speaker 1: my skill all to kind of build this product and

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Speaker 1: we actually sold a lot of licenses and I got

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Speaker 1: a little bit of royalty from each copy that was sold.

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Speaker 1: So for high school job, that was awesome. Yeah, that's

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Speaker 1: not a bad first gig at all. I also have

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Speaker 1: to ask you, David, how did you first get interested

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Speaker 1: in drones? What was your first experience with those? Um So,

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Speaker 1: drones has only been I've only been into drones for

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Speaker 1: the last maybe eight or nine years. However, I've been

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Speaker 1: into RC aircraft for a lot of my life, and

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Speaker 1: you know, as a child, I loved airplanes of all kinds,

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Speaker 1: so it's always been a passion and to learn more

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Speaker 1: about flight and drones was just amazing when when you

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Speaker 1: can have something that can just hover in the air

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Speaker 1: and not crash. So I heard that you were interested

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Speaker 1: in in drone racing. Yeah, I am still very interested.

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Speaker 1: So this was kind of how I really got into drones.

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Speaker 1: Um So, in the very beginning, I got the first

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Speaker 1: introduction to drones with through this hackathon call Drone Games,

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Speaker 1: which was actually ran by our CEO, Christian That's how

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Speaker 1: I met him. Um it was with the one of

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Speaker 1: the first consumer drones, the Parrot a R. There was

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Speaker 1: SDK that someone had created that allows you to grab

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Speaker 1: the camera stream and control the movements. So at the hackathon,

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Speaker 1: my team built a drone that stream that video to

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Speaker 1: a computer. It ran some algorithms to detect fist and

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Speaker 1: tracked it and followed it around. So that was my

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Speaker 1: first introduction to it, and from there I just got

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Speaker 1: really deep into drones, started building my own drones, and

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Speaker 1: the Bay Area has a lot of the top drone

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Speaker 1: pilots in the world, and there's local meetups all the time,

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Speaker 1: and I was out drone racing almost every weekend, building

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Speaker 1: these little racers that can fly upwards of a hundred

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Speaker 1: miles an hour through these courses. I've seen video footage

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Speaker 1: of these. I've never actually been able to attend one

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Speaker 1: of the races myself so far, but the video it's phenomenal.

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Speaker 1: You the pilots I see who fly these courses, uh,

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Speaker 1: they see at a speed I am incapable of seeing.

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Speaker 1: After learning about David's background, I wanted to get a

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Speaker 1: bit more insight into his work at Skycatch and what

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Speaker 1: that entails. Skycatch itself is a company built upon emerging technologies,

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Speaker 1: and so I was really looking forward to hearing David's

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Speaker 1: perspective on cutting edge tech. So I joined Skycatch in

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Speaker 1: and when I first joined, I was the second software

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Speaker 1: engineer we had an intern at the time UM, and

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Speaker 1: at the time the company was mostly around building the

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Speaker 1: hardware itself. How do you build a drone that can

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Speaker 1: autonomously fly to places and take photos and captured the

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Speaker 1: data that's needed UM, the software was still most sleep

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Speaker 1: manually processed, so UM I joined to create a platform

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Speaker 1: for our customers to be able to view the data

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Speaker 1: on the cloud and to automate that processing. So when

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Speaker 1: people ask you what your job is, how do you

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Speaker 1: describe it to them? Today? I think the best way

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Speaker 1: to describe what I do at skycatches I helped create

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Speaker 1: the solutions that will solve problems for our customers which

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Speaker 1: are in mainly in construction and mining. How to save

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Speaker 1: people time UM, create better safety environments for humans on

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Speaker 1: the job site UM, and to enable them to make

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Speaker 1: decisions faster. So so with that in mind, the way

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Speaker 1: you describe what Skycatch does, how do you put that,

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Speaker 1: So we build a solution that enables a very high

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Speaker 1: precision three D capture of your job site. So imagine

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Speaker 1: a three D snapshot, except every single point on our

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Speaker 1: on the data that we reduce is accurate to a

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Speaker 1: few centimeters, and we produce millions of points over any

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Speaker 1: area that you're you desire to capture, and then you

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Speaker 1: can then do measurements, to analytics, to all sorts of

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Speaker 1: calculations on that data after the fact, instead of having

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Speaker 1: to do that in the field. And I would imagine

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Speaker 1: that not only saves an enormous amount of time, but

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Speaker 1: it also uh it ends up being something that really

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Speaker 1: improves safety as well. Absolutely, a lot of places that

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Speaker 1: they have to send personnel into for for an open

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Speaker 1: pit mining operation, there are massive machines, these trucks that

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Speaker 1: are you know, taller than small buildings. They can't see humans,

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Speaker 1: so if you have to be near these vehicles, it's

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Speaker 1: very dangerous, or there's terrain that's inaccessible by foot. Um,

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Speaker 1: but you can now send the drone up to capture

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Speaker 1: that data and review that in an office in a

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Speaker 1: digital form as if you were actually in front of

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Speaker 1: that area. This is speaking to me because I've talked

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Speaker 1: to a lot of roboticists who talk about the beauty

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Speaker 1: of things like robotics and automation is that it helps

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Speaker 1: take away the dangerous, deadly, and dull tasks that humans

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Speaker 1: would traditionally have to do and offloads that onto machinery

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Speaker 1: where you, again, you can do this in a very

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Speaker 1: efficient and safe way. Yeah. Absolutely. Well. Throughout your career

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Speaker 1: you've been drawn to, you know, technological companies and entrepreneurial organizations.

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Speaker 1: So how do you leverage your experience at your your

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Speaker 1: former workplaces such as Pipio and Twitter in your current

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Speaker 1: role at Skycatch What sort of things did you learn

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Speaker 1: that you now apply to your job here. I think

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Speaker 1: for for my experience at those previous companies, it was

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Speaker 1: really about honing my technical skills on how to take

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Speaker 1: a really large and complex problem, break it down into

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Speaker 1: small pieces, then solve those pieces and put it back

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Speaker 1: together into a simple solution that makes this complex thing

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Speaker 1: seem really easy to do. And I think the other

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Speaker 1: important thing I've learned in my experience is um don't

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Speaker 1: come up with new solutions, listen to the customers for

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Speaker 1: what they're real pain points are, and create solutions around that.

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Speaker 1: And that's what will really make it a successful business.

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Speaker 1: And you'd be surprised at how many solutions out there

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Speaker 1: isn't solving a real problem for us. UM. We spend

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Speaker 1: so much time in the field with our customers. I've

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Speaker 1: traveled to every corner of the world. I've been up

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Speaker 1: in the Arctic Circle to visit customers to kind of

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Speaker 1: understand what is the workflow that they go through when

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Speaker 1: you're outside in negative thirty degree weather, when there's only

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Speaker 1: four hours of daylight that you can actually do your work,

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Speaker 1: and and that kind of helps us drive a solution

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Speaker 1: that can can make these people happy. Yes, I'm so

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Speaker 1: glad that it's not the approach of like spinal tap,

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Speaker 1: where you oh, yeah, this this deal goes to eleven Yeah, exactly. Well,

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Speaker 1: as a growing company in an emerging field, what sort

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Speaker 1: of challenges have you tackled as CTO at Skycatch. You've

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Speaker 1: talked a little bit about this, and but can you

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Speaker 1: give us sort of a more specific example of a

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Speaker 1: challenge you faced and sort of the approach that you

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Speaker 1: and your team went through in order to solve that. Sure,

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Speaker 1: UM with one of our large customers previous drone mapping, Uh,

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Speaker 1: everything was less precise because GPS is not very precise.

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Speaker 1: You can know your position to maybe five to ten

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Speaker 1: meters in three D space UH, and the data that's

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Speaker 1: needed is centimeter level accuracy, so they needed these essentially

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Speaker 1: control markers on the ground to align the data. Are

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Speaker 1: large customer came to us and told us, we need

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Speaker 1: you guys to get rid of these markers because it's

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Speaker 1: taking way more time to set these things up in

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Speaker 1: the field and then take them down after in order

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Speaker 1: just to capture data. The drone maybe flies only for

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Speaker 1: thirty minutes, so we want you guys to get rid

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Speaker 1: of this part of the workflow. So we spend a

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Speaker 1: lot of time UM developing custom cameras UH incorporating high

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Speaker 1: precision GNSS solutions to come with a to come up

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Speaker 1: with a unified solution that just works out of the

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Speaker 1: box that you can fly it with no ground control

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Speaker 1: and achieve that high level of precision on the output data.

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Speaker 1: And that's was possible only through UM Custom Electronics, custom

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Speaker 1: software on the computer vision side and making sure all

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Speaker 1: of this work seamlessly, and control through an iPad app

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Speaker 1: where the user really just circles an area that they

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Speaker 1: want hit fly and the thing does everything by itself.

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Speaker 1: So the goal there is you create an experience for

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Speaker 1: customer that is almost akin to magic because you have

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Speaker 1: removed all of the complexities and you've put that on

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Speaker 1: the back end where you're shouldering that burden. I'm sure

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Speaker 1: that it took an enormous amount of work on the

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Speaker 1: back end. Can you give me an idea of of

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Speaker 1: how long that project took um. I think we started,

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Speaker 1: we started working with the technologies required in and we

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Speaker 1: were starting to actually ship the full ready units in.

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Speaker 1: So for two years we were in heavy R and D,

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Speaker 1: and for a duration I was flying to Japan almost

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Speaker 1: on a monthly basis to go testing in the field

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Speaker 1: with the customer, getting feedback, going back making changes to

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Speaker 1: hardware software until we got it to a point where

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Speaker 1: it's works extremely well and extremely reliable. That's incredible. You

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Speaker 1: went from something that was a very low resolution photograph

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Speaker 1: to ultra high resolution sution with this particular solution. And

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Speaker 1: as you say, you know, you're talking about drones that

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Speaker 1: might be up in the air for less than an hour.

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Speaker 1: That's not a lot of time to capture that kind

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Speaker 1: of data. So it is phenomenal to me. That you

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Speaker 1: were able to do that in a way that not

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Speaker 1: only gets a full three dimensional picture of the site,

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Speaker 1: but then can also deliver that data in a way

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Speaker 1: that's that's consumable to your customer. I mean these are

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Speaker 1: not these are not easy things to do. Yeah, and

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Speaker 1: the drone, I think is actually the easier part. The

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Speaker 1: real magic is in the software. So from the very start,

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Speaker 1: our CEO, Christian Signs, has always said that we are

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Speaker 1: a data company, not a drone company. We see drones

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Speaker 1: as just a tool to capture the data for us.

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Speaker 1: In the future, it may not be drones to me,

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Speaker 1: the drone is kind of like this flying tripod that

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Speaker 1: we can programmatically send to anywhere in space for it

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Speaker 1: to capture that data. But once that data is captured,

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Speaker 1: our software does the heavy lifting of turning hundreds or

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Speaker 1: thousands of photos into these three D structures that represent reality.

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Speaker 1: That's incredible. If there's one thing most businesses can agree

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Speaker 1: on these days, it's that change has never come about

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Speaker 1: so quickly. New ways of working have become the norm.

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Speaker 1: As a result, the status quo no longer cuts it

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Speaker 1: when it comes to helping businesses adapt and innovate. That's

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Speaker 1: why T Mobile for Business uses unconventional thinking to help

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Speaker 1: America's largest and fastest five gene network. It's just one

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Speaker 1: reason they're better able to help businesses solve the real

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Speaker 1: world challenges they face as they evolve. For instance, their

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Speaker 1: new w f X solutions help team members stay connected

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Speaker 1: and productive where work happens. With nearly two and a

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Speaker 1: nearly four times more than Verizon, and forty billion dollars

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Speaker 1: invested in network and business improvements over the next three years,

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Speaker 1: T Mobile for Business is better for your business right

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Speaker 1: now and into the future. See what they can do

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Speaker 1: for your organization at T mobile dot com. Slash Unconventional

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Speaker 1: Open Signal awarded to mobile fastest five G network based

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Speaker 1: on average speeds. USA five G User Experience Report January.

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Speaker 1: Capable device required coverage not available in some areas. Some

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Speaker 1: users may require certain planner features see T mobile dot

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Speaker 1: com m How do you decide upon when to rely on,

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Speaker 1: say a partner versus developing a tooler platform Internally? Do

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Speaker 1: you do you do a lot of internal development or

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Speaker 1: is there a lot of partnership or some combination. UM

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Speaker 1: this has always been a line that keeps moving. Initially,

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Speaker 1: for example, when I first joined the company, the hard

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Speaker 1: problems were around how do you build the drone? How

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Speaker 1: do you make it fly and automate that UM and

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Speaker 1: that's where the customer pain points were. This is when

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Speaker 1: companies were starting to use drones to capture aerial data.

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Speaker 1: But as drones became easier and easier, we kind of

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Speaker 1: shifted where that focus was. Because UM as d j

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Speaker 1: I became a dominant force in the drone industry, we

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Speaker 1: realized that it doesn't make sense to try to keep

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Speaker 1: building drones and competing against them. It's better if we

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Speaker 1: focused on the software pieces, the high precision and work

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Speaker 1: with them. So that's exactly what we did. We partnered

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Speaker 1: with them to develop the Explorer one, which is a

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Speaker 1: custom drone that we designed that sits on top of

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Speaker 1: one of their airframes with our electronics. Our camera are

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Speaker 1: g n S S Systems. I see a lot of

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Speaker 1: businesses that sort of doubled down on their initial decisions

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Speaker 1: to the detriment of the success of the business over time.

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Speaker 1: So there are a lot of discussions that went into

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Speaker 1: the decision to kind of step back from the hardware side. Absolutely,

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Speaker 1: it was um, you know, it was a very tough

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Speaker 1: decision for the company because it was so focused on

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Speaker 1: the hardware side at the time. Um. It was during

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Speaker 1: a time when regulations around commercial drone used were also

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Speaker 1: extremely extremely strict, I think around two thousand sixteen, so

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Speaker 1: a lot of adoption by large entities were not possible

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Speaker 1: due to these regulations. UM. So we had to think

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Speaker 1: real hard about what we want to be building, and

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Speaker 1: ultimately we decided we did not want to be build

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Speaker 1: building a drone, and we wanted to be building the

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Speaker 1: software to create value from the data that was captured

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Speaker 1: by the drone. And and as you point out, because

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Speaker 1: you did that, it means that the business model you

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Speaker 1: have is not inherently married to drone technology. It could

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Speaker 1: be ported over to some other format, some other means

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Speaker 1: of gathering the data. Yeah, exactly. And we're seeing that

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Speaker 1: the forms of capture are becoming more and more widespread,

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Speaker 1: from you know, the robot dogs that can walk a

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Speaker 1: job site, to embedded cameras on workers helmets, to you know,

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Speaker 1: even handheld devices. Your your iPhone for example, now has

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Speaker 1: a light. Our sensors that's capable of capturing three D data.

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Speaker 1: So all of these sources can be ingested into our

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Speaker 1: platform for for for visualization and analytics. Well, and that

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Speaker 1: kind of leads perfectly into my next question, which is

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Speaker 1: what do you see as the biggest opportunities for Skycatch

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Speaker 1: in the near term. Well, we are aiming to become

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Speaker 1: is a platform where it has a digital twin of

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Speaker 1: your job site, and our software and our technologies that

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Speaker 1: we're developing is pushing towards closer and closer to real

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Speaker 1: time data capture. So today you have to fly the

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Speaker 1: drone capture the data, and then it takes a number

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Speaker 1: of hours for that data to be processed. We want

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Speaker 1: to shorten that to real time, and we want to

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Speaker 1: um be able to continuously capture instead of just having

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Speaker 1: a single snapshot every day. Well, that's great. This this

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Speaker 1: is a perfect time for us to to segue over

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Speaker 1: to emerging technologies because it sounds to me like, well,

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Speaker 1: we've already started covering a lot of this. It's it

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Speaker 1: sounds like we're we're talking about things like Internet of things,

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Speaker 1: we're talking about edge computing. Uh, what are what are

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Speaker 1: some of the technologies that are just starting to mature

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Speaker 1: that you're looking toward as being supportive of Skycatch's mission.

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Speaker 1: So I think two things I'm really excited about. One

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Speaker 1: is light our technology. UM. These sensors used to cost

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Speaker 1: tens of thousands of dollars, but now due to the

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Speaker 1: developments in autonomous vehicles, they've gotten cheaper and small are

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Speaker 1: I'm looking forward to the days where small camera is

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Speaker 1: an extremely capable like our capture device that can capture

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Speaker 1: hundreds of meters at millimeter accuracy UM. The second thing

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Speaker 1: is UH five G technologies, which will enable the massive

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Speaker 1: amounts of data that we capture from these devices to

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Speaker 1: be streamed to edge devices and to our cloud nearly instantaneously. David,

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Speaker 1: you brought up one of my favorite topics, and that's

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Speaker 1: five G. I think most people have at least an

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Speaker 1: idea that five G means high throughput and low latency,

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Speaker 1: but that's kind of abstract, and the work you're doing

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Speaker 1: at Skycatch is a fantastic use case for the power

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Speaker 1: of five G. How do you anticipate leveraging five gs

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Speaker 1: capabilities at Skycatch? We already have several edge based compute products,

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Speaker 1: for example, the edge one that's our GNSS based station

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Speaker 1: plus UM edge compute, so all of the three D

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Speaker 1: data that's we generate can be processed right on the edge,

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Speaker 1: so the drone captures it, it's transferred into this small,

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Speaker 1: small device that just sits on a tripod, and you

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Speaker 1: can process everything there. However, the bottleneck right now is

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Speaker 1: once you have this data process, you can use it

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Speaker 1: in the field, but if you want to share it

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Speaker 1: with your team, you need to bring this unit back

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Speaker 1: to the office where you can connect it to the

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Speaker 1: WiFi or Ethernet and then offload that data. Because a

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Speaker 1: single flight of a drone can produce upwards of five

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Speaker 1: ten gigabytes of output data right and having that ability

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Speaker 1: to transmit data wirelessly changes the game where you can

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Speaker 1: make those decisions back at home base immediately and then

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Speaker 1: in theory in the field act upon them. So I

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Speaker 1: imagine that that would be transformative for many of your clients. Yeah,

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Speaker 1: I think very much. So we already kind of push

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Speaker 1: that UM ability to act on the data to the field,

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Speaker 1: but now being able to connect it to the rest

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Speaker 1: of the organization is gonna enable so much more to

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Speaker 1: be done. For example, in in a mining operation, every

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Speaker 1: time you stop the operation. It's going to cost them

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Speaker 1: hundreds of thousands of dollars per hour. So and and

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Speaker 1: they would stop it if something is not correct and

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Speaker 1: they need to wait to check is this built to

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Speaker 1: spec is the pit cut to the exact design from

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Speaker 1: the geotechnical engineers, And if it's not, they need to

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Speaker 1: go back and rework it. But being able to catch

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Speaker 1: these issues at the moment that there that is happening

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Speaker 1: and making that decision right away will definitely save millions

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Speaker 1: of dollars right and they could even potentially be proactive

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Speaker 1: and spot something before it has become a problem and

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Speaker 1: thus avoid causing the issue in the first place. So

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Speaker 1: this is a really great use case. In what ways

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Speaker 1: is skycatch leveraging and advancing artificial intelligence? How are you?

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Speaker 1: How are you? How are you working with AI? So

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Speaker 1: when I think about AI machine learning, I don't think

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Speaker 1: about it as this is the solution that's fully autonomous,

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Speaker 1: it does everything for you. I think of it as

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Speaker 1: technology that helps humans do things a little bit better

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Speaker 1: than they're able to do on their own. I'll give

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Speaker 1: you one example, um when when three D data is

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Speaker 1: captured from say a mine, a human operator will take

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Speaker 1: that data into some mining cat software and they may

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Speaker 1: trace the outlines of the toes and crests of the

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Speaker 1: high wall. So this is the manual process. They're clicking

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Speaker 1: point by point until they traced it all. We can

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Speaker 1: use machine learning to guide the humans. For example, the

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Speaker 1: human draws a single point at the beginning, and we

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Speaker 1: can then automatically extend that finding following that ridge or

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Speaker 1: whatever feature it's following. To take a process that would

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Speaker 1: normally take an hour to do into something that's just

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Speaker 1: a single click. And this this sounds to me like

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Speaker 1: it's the example of when I talk with AI experts,

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Speaker 1: something they like to talk about is augmented intelligence as

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Speaker 1: opposed to artificial intelligence. So it's not so much about

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Speaker 1: creating a system that does things by itself, but rather

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Speaker 1: lets people do their jobs more effectively. Yeah, and I

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Speaker 1: think the full potential of AI still yet to be realized.

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Speaker 1: UM today, the data is still needs to be manually

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Speaker 1: reviewed and someone is looking at it, deciding what to take,

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Speaker 1: measurements of what answers are in the in the data itself.

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Speaker 1: We're working on technologies that will enable to automatically identify

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Speaker 1: all of the things that you care about, take those measurements,

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Speaker 1: so when a user is first interacting with at all

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Speaker 1: the answers are already there. That's that's kind of my

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Speaker 1: vision for what a I will enable for our customers,

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Speaker 1: and it's obviously one of those things that has its

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Speaker 1: own set of challenges. The biggest challenge I see from

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Speaker 1: from one perspective anyway, with AI and machine learning is

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Speaker 1: creating a system that is at least somewhat transparent, where

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Speaker 1: you can understand how the system arrived at whatever solution

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Speaker 1: it arrived at. Otherwise you run into the challenge of

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Speaker 1: of something that could look like a black box where

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Speaker 1: you just have no clue of how the system reached

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Speaker 1: its conclusion. Therefore, you don't really know if the solution

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Speaker 1: is valid or if it's applicable. Yeah, you're right, um,

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Speaker 1: and today, even with solutions that are more autonomous, humans

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Speaker 1: are still required to really verify that this is indeed

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Speaker 1: the right answer. Well, while we're on the subject of

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Speaker 1: challenges and uncertainties, what keeps you up at night? I

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Speaker 1: think what keeps me up at night is whether or

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Speaker 1: not we've made the right investment into developing the technologies

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Speaker 1: that we are Because sometimes these are multi year projects

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Speaker 1: that we won't see the solution for a long time,

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Speaker 1: and we want to make sure that this is the

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Speaker 1: right solution for our customers and for us as a business.

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Speaker 1: And I would imagine for you that is that is

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Speaker 1: a big challenge. I mean, we're talking about a a

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Speaker 1: company that is is itself part of an emerging field

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Speaker 1: of technologies and applications of technologies. You're doing something new,

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Speaker 1: so every decision you make is one where you can't

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Speaker 1: necessarily be certain of what the outcome is going to be.

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Speaker 1: So I mean, I certainly can empathize with that. Before

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Speaker 1: I could let David go, of course, I need to

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Speaker 1: ask him one more thing. Well, then, what do you

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Speaker 1: think inc is the most misunderstood technology? I think, at

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Speaker 1: least relevant to me. I think drone deliveries is hugely misunderstood, um,

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Speaker 1: just because of the complexity of the infrastructure that's actually

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Speaker 1: needed for this to be widespread will take, I believe

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Speaker 1: a long time to be really developed and for for

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Speaker 1: us to be getting our Amazon shipments every day from

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Speaker 1: a drone. And this is from a guy who I

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00:27:28,800 --> 00:27:34,560
Speaker 1: believe once helped someone by delivering toilet paper to the drone. Yeah,

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00:27:34,600 --> 00:27:38,359
Speaker 1: that was that was a fun joke in the early

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00:27:38,400 --> 00:27:42,120
Speaker 1: days of the pandemic, a roll of toilet paper from

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00:27:42,320 --> 00:27:45,560
Speaker 1: my office route to a friend who lived really close.

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00:27:46,480 --> 00:27:49,800
Speaker 1: I mean, listen, I've been there. I would love to

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00:27:49,840 --> 00:27:51,959
Speaker 1: have a friend who would be able to swoop in

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00:27:52,119 --> 00:27:55,240
Speaker 1: drone with a drone assisted delivery when I need it most.

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00:27:55,600 --> 00:27:59,000
Speaker 1: So I think that it was a valid and important story.

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00:27:59,440 --> 00:28:03,240
Speaker 1: But as as you say, I agree, I think drone

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00:28:03,240 --> 00:28:10,360
Speaker 1: delivery is something that it's far more complex than the

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00:28:09,720 --> 00:28:13,200
Speaker 1: the the individual little use cases that will get Like

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00:28:13,560 --> 00:28:16,639
Speaker 1: I remember when you're in San Francisco. I remember the

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00:28:16,680 --> 00:28:20,840
Speaker 1: story of of of drones being used to deliver tacos.

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00:28:22,040 --> 00:28:24,359
Speaker 1: That was and that was a big, big thing, tacos

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00:28:24,400 --> 00:28:28,280
Speaker 1: from the sky. Um. But I think that that that

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00:28:28,440 --> 00:28:31,320
Speaker 1: sent people who were in the media, like myself down

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00:28:31,440 --> 00:28:35,000
Speaker 1: a road where we were envisioning a future that probably

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00:28:35,040 --> 00:28:39,640
Speaker 1: isn't quite ready to blossom yet. Yeah. I hope to

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00:28:39,680 --> 00:28:42,960
Speaker 1: see this technology truly mature and us to be able

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00:28:43,000 --> 00:28:47,480
Speaker 1: to just order tacos and haven't come in from the sky.

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00:28:47,680 --> 00:28:51,040
Speaker 1: Me too, I mean, I'm always I'm always down for

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00:28:51,080 --> 00:28:55,080
Speaker 1: a sky taco. So bring that future on, is what

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Speaker 1: I say. David, Thank you so much for joining us today.

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Speaker 1: It was a pleasure to speak with you. Thank you, Jonathan.

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00:29:02,960 --> 00:29:07,080
Speaker 1: It was really fun. One thing that was clear to

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00:29:07,120 --> 00:29:10,440
Speaker 1: me in my conversation with David was that Skycatches business

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00:29:10,560 --> 00:29:14,520
Speaker 1: is one that will see enormous benefits from five G connectivity.

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00:29:14,880 --> 00:29:18,480
Speaker 1: Being able to deliver a data heavy solution to clients

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00:29:18,560 --> 00:29:22,000
Speaker 1: in real time while conducting aerial surveys in the field

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00:29:22,480 --> 00:29:25,040
Speaker 1: is a powerful message and one that could translate into

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00:29:25,080 --> 00:29:29,400
Speaker 1: significant savings for Skycatches clients. But the really exciting thing

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00:29:29,840 --> 00:29:32,440
Speaker 1: is that it's just one way that five G is

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00:29:32,480 --> 00:29:35,320
Speaker 1: going to transform business in the era of big data.

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00:29:35,560 --> 00:29:39,840
Speaker 1: Being able to transmit information quickly cuts down on response time,

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00:29:39,960 --> 00:29:42,520
Speaker 1: which could mean the difference between heading off a problem

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00:29:42,560 --> 00:29:45,960
Speaker 1: before it can happen and trying to respond to a crisis.

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00:29:46,520 --> 00:29:49,080
Speaker 1: Or it could mean delivering value to customers above and

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00:29:49,120 --> 00:29:52,640
Speaker 1: beyond what they expect, or it leads to solutions behind

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00:29:52,680 --> 00:29:57,600
Speaker 1: the scenes that streamline processes and reduce costs. The possibilities

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00:29:57,840 --> 00:30:01,040
Speaker 1: are endless, and we're going to continue to explore them.

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00:30:01,160 --> 00:30:03,200
Speaker 1: Make sure you tune into the next episode of The

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00:30:03,240 --> 00:30:06,920
Speaker 1: Restless Ones. We're all have more conversations with leaders who

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00:30:06,920 --> 00:30:09,800
Speaker 1: are taking the tech of tomorrow and using it today.

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00:30:10,440 --> 00:30:20,480
Speaker 1: I'm Jonathan Strickland. These days, new ways of working have

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00:30:20,560 --> 00:30:23,280
Speaker 1: become the norm, and the status quo no longer cuts

481
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Speaker 1: it when it comes to helping businesses evolve and grow.

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Speaker 1: That's why T Mobile for Business uses unconventional thinking to

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Speaker 1: help businesses sees innovation only. T Mobile offers America's largest

484
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Speaker 1: and fastest five gene network, which makes their new WFX

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Speaker 1: solutions possible, letting businesses stay connected and productive where work happens.

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Speaker 1: See what T Mobile for Business can do for you

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Speaker 1: at t mobile dot com. Slash Unconventional Open Signal awarded

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Speaker 1: T mobile fastest five G network based on average speeds.

489
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Speaker 1: USA five G User Experience Report, January. Capable device required

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Speaker 1: coverts not available in some areas. Some users may require

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Speaker 1: certain planner features see T mobile dock on