Episode Transcript
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0:03
Technology, in my mind, should always
0:05
be speeding up, and we should keep pace with that and never
0:07
get complacent. Everybody wants
0:09
that page so a second, especially on
0:11
a mobile device, that's where the traffic lives. That's
0:13
where people are connected all day, and I think
0:16
in a fitness realm, that's what you're
0:18
really looking to do. People aren't carrying their laptop
0:20
or their desktop to the gym, and so
0:22
whether you're on a tract, the opportunity to leverage
0:24
that mobile device is still extremely
0:27
important. It's got to be performant, it's gotta be reliable,
0:29
it's gotta work every single time, and it's
0:31
gotta work wherever you are. Welcome
0:35
to the restless Ones. I'm Jonathan
0:37
Strickland. As you may know, I've
0:39
spent the last fifteen years covering
0:41
technology and learning how it works, demystifying
0:44
everything from massive parallel processing
0:47
to advanced robotics and
0:49
everything in between. Yet it's
0:52
the conversations with some of the most
0:54
forward thinking leaders, those at the
0:56
intersection of technology and business
0:58
that fascinate me the most. The
1:02
average person, when shopping for workout
1:04
clothes or athletic gear, might
1:07
not give much consideration to how
1:09
large a role tech plays
1:12
at under Armour, but in fact,
1:14
the scope and depth of under Armour's
1:16
technology strategy is astounding.
1:20
Clearly, there's some traditional tech
1:22
involved. You need the equipment to design
1:25
and make the clothing and other equipment.
1:27
You need the computer systems to run operations
1:30
and provide services to employees, and
1:32
under Armour has those. But the company
1:34
also relies on tech in innovative
1:37
and surprising ways. Whether it's
1:39
analyzing how a design for a shoe
1:41
performs as an athlete sprints
1:44
down a track and under Armour
1:46
tracks every metric you can imagine,
1:49
or an entirely new way for store
1:51
operators to visualize their shops in
1:53
a virtual environment. Under Armour
1:56
is putting tech to work. Then
1:58
there's the athletic gear that's equipped with Bluetooth
2:00
modules and accelerometers and
2:03
gyroscopes or apps
2:05
that play a part in digital fitness
2:07
and the quantifying of the self. It's
2:09
almost shocking the kind of technological
2:12
innovation going on at the company that started
2:14
in the ninety nineties with the entire business
2:17
packed in the trunk of a car. I
2:19
learned a lot about under Armour's use
2:21
of tech when I spoke with Danny Miles,
2:23
the CTO of the company.
2:25
We dove into challenges under Armour faces
2:27
as the company strives to meet ever expanding
2:30
customer expectations in a world
2:32
where even our clothing can be part
2:34
of the Internet of Things, and I learned
2:36
how under Armour is taking the initiative to
2:39
transform what it means to be a company
2:41
centered on athletic equipment and apparel.
2:44
But I also learned about Danny himself, his
2:46
thoughts as he transitioned from being
2:48
on the tech side of operations in business
2:51
to becoming a leader in them, his values
2:53
when it comes to his approach to work, and
2:55
what it takes to be successful when executing
2:58
a company's tech strategy. But
3:00
before we dive into all that, I wanted to get
3:02
some background on Danny himself. Danny,
3:10
I want to welcome you to the Restless
3:12
Ones. Welcome to our podcast. Thanks
3:14
for having me. It's excited to be a part of the conversation.
3:16
Oh, we're excited to have you here, and
3:19
we're gonna be talking about your job
3:21
and your responsibilities and we're going to get to
3:23
all the exciting things going on and under Armour.
3:25
But before we do that, I always like to get
3:27
to know my guest a little better. So
3:31
I'm curious, when did you first start
3:33
getting interested in technology?
3:36
Yeah? You know, so for me, I grew up
3:38
in New Orleans and I was pursuing
3:40
music and that was my thing. I was studying
3:42
music for a long time, and
3:45
you know, really I got into digital
3:48
music and that really was kind of the beginning
3:50
of me connecting devices
3:53
and understanding how does all these different
3:55
hardware need to communicate, from
3:57
digital effects to synthesizers to recording
4:00
equipment. And that kind of just got me
4:02
into a space that I felt really comfortable
4:04
with, and that evolved
4:07
into being the guy that
4:09
everybody had computer questions for it. I
4:11
think the difference maker for
4:13
me was when I realized, probably that I
4:16
have this passion for how things work. I have
4:18
to understand them completely. And
4:21
when it came to the I T side
4:23
of the house, I realized at some point that
4:26
I wanted to go much deeper into how
4:28
things worked, which meant programming, which meant
4:31
taking the operating system apart. I remember
4:33
the days I used to tell people for
4:36
the first four or five years of my career, I got used
4:38
to rebuilding my computer every week
4:40
because I would destroy it. I would replace
4:42
operating system files. I would mess with the Windows
4:45
registry, I would tweet drivers and
4:47
really had to have a deeper understanding. I wasn't
4:49
satisfied with just installing
4:51
something and it working. I had to know why it worked
4:54
and what it was talking to and what made it
4:56
take And so that just kind of progressed,
4:58
and that really drove me deeper in too, eventually
5:01
going back to school for computer science studying
5:03
obdiculate your programming and design, and
5:06
from there, I guess, you know, until she wrote,
5:08
gosh, you know, and just just to think,
5:11
Danny, we could be sitting here talking about middies
5:13
and moves and all sorts
5:15
of stuff that I'm really passionate about
5:17
too. But can you talk a little bit about your
5:19
early days as a software engineer.
5:22
Yeah, you know, in my day it was about going
5:24
down to Barnes and Noble, sitting
5:26
there on the computer aisle reading
5:28
these three inch thick books on
5:31
C plus plus and databases. It
5:33
was interesting for me. I would know what I was
5:35
wanting to solve for usually during the day on
5:37
my job and fighting for stuff, but
5:40
I always, you know, it was a double edged
5:42
sword, and that I would go home at night and be
5:44
like, I've got to figure out a better way to do this. I've
5:46
got to understand something. And in those
5:48
times there wasn't formal education.
5:50
I looked at what a lot of the colleges were
5:53
doing, and they were teaching how
5:55
to build an ATARI if you basically
5:57
went in and study computer theory and
5:59
CP processors and how all
6:01
the hardware and access layers work. But there
6:04
wasn't a structure design domain driven design
6:06
object on your programming. You had
6:08
to really go get that from the network,
6:10
from people that you can talk to, from books,
6:12
from people you could follow and meet. It
6:14
was a very, uh kind of like club
6:17
that you just started to get into, know who to reach
6:19
out to to ask questions, and
6:21
so yeah, that was what it was like for me in the early
6:23
days. It was almost a black art I
6:26
remember first, you know, and this is dating myself,
6:28
but definitely in the nineties we were trying to
6:30
figure out how to charge credit cards and process credit
6:33
cards in a time when that was black box.
6:35
The banks didn't have open a pi is. There was no
6:37
protocols for doing that stuff,
6:39
and everybody did it different and you
6:42
really had to get in and look
6:44
at the data and the messages on the wire,
6:46
figure out how to decrypt them and figure out
6:48
which packets of data have to be where
6:51
for me to get this thing to go through and come
6:53
back with a valid response. I appreciate
6:55
those times because it fed my need to understand
6:57
how things worked at its core. But
7:01
I tease a lot of the developers today that they
7:03
have a lot of training wheels that I didn't have. I
7:06
I crashed a lot. There
7:08
are a lot more programming languages now too.
7:10
How would you describe your role at
7:13
under Armour if you're talking to a
7:15
casual acquaintance, you
7:18
know, a casual acquaimance. I usually tell people,
7:20
and it's hard when you have so much going on at
7:22
the top level, but you just I'm just responsible for
7:24
all the technology, everything
7:27
from our data platforms to our e
7:29
commerce platforms, retail supply chain,
7:31
finance infrastructure.
7:34
I basically lead a team of other
7:36
technical leaders that help us run all
7:39
of the technical platforms for the business. And
7:42
usually that gets boiled down to something much simpler.
7:45
But I do get friends, especially in the
7:47
investment community startup community, They want to know deeper,
7:49
like, well, what are you actually doing, what are you transforming?
7:51
What are you there to do, and when I look at
7:53
an opportunity, I'm always looking for the
7:55
difference that I believe I can make, and so
7:58
particularly with under Armour, it really is about
8:00
the transformation of their business that's underway
8:03
to really become a direct to consumer
8:05
player in a strong way to really serve
8:07
athletes and really help make
8:09
them better. The lanes that I've chosen, I've
8:12
always felt like there's always something behind it
8:14
behaviorally that drives me to kind of improve
8:18
someone's life through not just selling them
8:20
products, but through providing content and really
8:22
being able to connect to, you
8:24
know, an audience from a brand perspective that attracts
8:26
me to it. So I think we have a lot of things we talked about
8:28
in that lane of how does our brand really
8:30
make athletes better? How do we really understand
8:33
their needs and to end not just from
8:36
what they need to wear and not just what they need to
8:38
wear in the gym or on the field,
8:40
but what do they need throughout their day
8:42
to prepare for that to recover from that?
8:44
Right, So we think holistically about how we
8:47
can kind of make people better, and that's one of the things
8:49
that gets me excited because I believe
8:51
technology can really serve the
8:53
brand well there and helping achieve
8:55
that vision with under
8:57
armor in mind. You mentioned cloud computing
9:00
obviously has been an enormous
9:02
transformative force in all
9:05
businesses, across all industries. Can
9:07
you talk a bit about how cloud
9:10
computing has transformed the
9:12
industry of retail? Well, I think
9:14
obviously it's a transformative thing for
9:16
all technology. It's just such a huge transformation.
9:19
For me, I think that
9:22
was just one of the most particularly when I went to Nike.
9:24
That was part of why I went there was to lead their cloud transformation.
9:27
When I look back at all that we accomplished,
9:30
there was just things we were not going to be
9:32
able to do. There was a whole batch of applications.
9:35
I'm reminded of when we build the Sneakers app
9:37
and the scale that has to go into that product
9:39
and how much we had to build that was just
9:42
not possible prior to us being able
9:44
to scale up, you know, to have that elasticity
9:47
of I need a hundred more servers, now do it, you
9:49
know, and and to have that muscle
9:51
to go fast. For me, that's just
9:53
been hugely transformational and
9:55
it's mostly been scale. I also feel
9:57
like, and this is an argument I made in the casino industry
10:00
early on with cloud as, I also think it's
10:02
transformati from a security perspective.
10:04
You know, one of the biggest arguments that we used to have
10:06
with regulators in the casino space was
10:09
you cannot run any compute outside the
10:11
four walls of the licensed operator. That
10:13
was a law, and the reason was because they believed
10:16
there was a security risk to have this out
10:18
there. And through years of convincing
10:20
and going back and saying, you know what, I'll tell you
10:22
what's a bigger security risk is the employees
10:25
in that casino that have access to that
10:27
server room and know those passwords. And
10:30
there was a point in time I remember we were talking about
10:32
Amazon and with a regulator that was like, well, I
10:34
want to go and inspect the data center and see all their
10:36
controls and security. And I was like, you
10:38
will never get into an AWS data center
10:40
and that's by design, like those are designed
10:43
that there is no public assets. Even a
10:45
w S themselves is not able to go
10:48
in and log into the computers and stuff
10:50
there. And really understanding that
10:52
there was such a shift in centralized
10:54
management, control and access, I
10:57
really think, you know, one of my early arguments was just security,
11:00
which just it really allowed me to create network
11:02
layers. It really allowed me to create different vpcs
11:05
and connect things in a different way so that I could
11:07
really control with scripting,
11:09
what could talk to what right. So
11:11
the elevation for me initially with security and
11:13
then it became about scale. But
11:15
you know, I've had the chance to also kind of mentor
11:18
and work with a lot of startups. I always go
11:20
back to the early days of AWS
11:22
and what it meant to the mobile industry
11:25
more particularly what it meant to startups.
11:28
If you're doing to study looking back and I think about
11:30
what really was one of the biggest changes
11:33
there. It was when you used to start a company,
11:36
right, you had to think about my first investment
11:38
round is gonna have to go buy some servers. I'm gonna have to go
11:40
with stand up iraq. I'm gonna have to go hire
11:42
I T folks and get something up and running,
11:44
just to get an app or a website running. When
11:47
that change from No, my first hire
11:49
is going to be a designer and we're gonna start building the front
11:51
end user experience and we're gonna get this thing up
11:54
and run, and I'll hire some infrastructure
11:56
guy to build my server network in a day on
11:58
AWS. That was a real game changer.
12:00
I think you just saw how quickly technology
12:02
companies could be stood up. You saw how quickly
12:04
innovation can start to happen because you didn't
12:07
have to have that sunk cost
12:09
up front of going out and building
12:11
a data center. Danny, you're making me
12:13
think back to those early days of the web
12:15
where you knew that something was
12:18
a success when it crashed because
12:20
the server couldn't handle the load. And
12:22
the first problem was how do we get this tool to
12:24
work? And then the second problem was, oh the toolworks
12:27
and people like it, but we don't have enough server
12:30
support to actually meet the demand.
12:32
And it became just a constant race
12:34
to stay ahead of the bottleneck. And
12:36
cloud computing has really removed
12:39
that obstacle entirely. It really has sped
12:41
up development and innovation in that in
12:43
that regard. Yea, you know, there would be no hyper
12:45
scaling without cloud right as these companies
12:47
that have been able to just scale really fast. The
12:50
nightmare is if you're running your own server farms
12:52
today and you need to scale, I really feel bad for
12:54
you because the supply change is wrecked.
12:56
Right, we can't get devices we can't get switches
12:58
and have like just for our basic
13:01
retail, you've got ninety days
13:03
to six month lead times on that stuff, and
13:05
I don't think that's something that's just acceptable anymore.
13:08
There was still a lot of battles with cloud I think obviously
13:11
an operational change mind shift change
13:13
to your point about when debops became
13:15
a thing and what is it, infrastructure engineering
13:18
and s R re became a thing like availability
13:20
just monitoring really understanding, Hey,
13:23
you gotta watch this thing. It can sprawl out
13:25
of control and you can have a cost problem and
13:27
you can end up in a bad spot. The
13:29
other struggle was really you had to get really good
13:32
at forecasting because for most
13:34
people and most companies, you were moving your
13:36
CAPEX investments, which were CAPEX
13:38
investments and idea one time we're pretty easy to get.
13:40
You know, I need a few million dollars, build a rack and do whatever.
13:43
You shifted all that to op X, right, and you're
13:45
paying for that on a monthly basis, and you've got
13:47
to be much better at how you plan that
13:50
usage and know what's coming. And so it definitely
13:52
calls some I would say operational shifts,
13:54
not only for the technology team, but how
13:56
you engage with your business and your finance
13:58
team. I can tell you definitely when I
14:00
was at Nike, you know, really
14:03
there was a big concern over and
14:05
I was remembers kind of batting with the CEO
14:07
at one point about, oh, we're we don't like a
14:10
w S. We don't want to host our workload there.
14:12
The c SO the security officer had a lot
14:14
of concerns like your developers are going to have this access
14:17
to that and well, by the way, they're
14:19
a competitor, aren't they Amazon dot Com? So
14:21
we went through all of those kind of battles early
14:23
on. But I'll tell you retailers
14:25
did not want to do business for data, yes, and
14:28
you know there's all the oh, I'm just funding their work chest
14:30
to compete with me, or are they going to steal my
14:32
customer data because it's in their data centers. So
14:34
I really had to work through the legal
14:37
side of it. One of the hardest things to
14:39
do is getting the enterprise agreement with a WS
14:41
and Nike gart It took me like six months
14:43
of legal finance, the
14:45
c SO, the c i O really
14:48
getting everybody to kind of believe not only
14:50
that cloud WHI was right but that
14:52
the way we were going to do it. Who are we going to choose
14:55
was kind of the right partner there. Conventional
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One of the things you touched on earlier was
15:37
this mission to help
15:40
athletes be their
15:42
best, whether it's when they're
15:44
actually competing or performing or when
15:46
they're recovering. Can you talk
15:49
a little bit about technology
15:51
that goes into that. What's
15:53
the process of analyzing
15:56
performance? Do you incorporate AI
15:59
and machine learning in to your approach
16:01
when you're designing these solutions
16:04
for athletes? We do. I think
16:06
measurement and tracking is kind of a lane that
16:08
we think about a lot, and that is really
16:10
comes down to currently, we have a device,
16:12
we have a chip in the shoe that actually can record
16:14
what you're doing and connects to our our
16:16
map, my suite of apps, and that gives us quite
16:18
a bit of telemetry on what's happening
16:21
during a run. We think there's a future evolution
16:23
of how we can start to learn more about,
16:26
you know, kind of tracking a workout or a fitness
16:29
routine. And so we're exploring lots of options
16:31
thinking about what we can do not
16:33
only with machine learning, but really just what we can
16:35
do now with cameras right and what we can do with
16:38
machine vision and some of the things. There is a
16:40
wide open lane that we're exploring. But
16:42
I also think there's other things that matter
16:44
so much more, and we always have conversations
16:47
about things like heart rate. The challenging
16:49
part to me is to go beyond measurement
16:52
and to really work with our sports
16:54
science teams to figure out, but what are the experiences
16:57
that we want to be able to create. To me, that's the harder
16:59
working. That's the area I'm excited about
17:01
that. I don't think that we've done enough, and we
17:03
can achieve a certain level of measurement and data
17:05
collection, but I'm much more excited about
17:07
figuring out what are the ways that we can
17:09
kind of interrupt your experience,
17:11
either before you're gonna go on a
17:14
run or after from a recovery
17:16
perspective, things that you might need to do that you may
17:18
not know you need to do. That's where I think all
17:20
of the content and really using the data
17:23
to drive a behavioral change that would
17:25
improve an athletes performance is the open
17:27
kind of lane for us that we're thinking about. To
17:30
me it comes down to content, comes down
17:32
to coaching, comes down to really leveraging
17:34
what we know about athletes, what we know about
17:36
sports science, what we can measure. There's what
17:38
we can think about measuring for a consumer. Obviously,
17:41
in our product creation and design teams, the
17:43
things we're able to measure on a track, on the field
17:45
in a gym are exhaustive and extensive. That's
17:48
where I think a lot of our learning
17:50
comes from about how to create the products
17:52
we're creating. The next step is to figure out how can
17:54
we intersect with that consumer and their
17:57
journey and their workout to really provide
18:00
and added value it's going to help them
18:02
perform better. I mean, obviously,
18:04
the entire digital fitness trend
18:07
has really been about the quantifiable self
18:09
I'm curious, are you also looking
18:12
at ways now that we have rollouts
18:14
of five G technology where we have these
18:17
high throughput and low latency
18:20
wireless networks that are maturing.
18:23
Are you looking into ways to leverage
18:25
that as well with tech in order to
18:28
augment this mission of creating
18:31
the best products to help athletes
18:34
perform at their best. Yeah. Absolutely,
18:36
I mean I think you have to take advantage of everything
18:38
that's out there from that perspective, especially
18:41
as we're talking about some of the experiential
18:44
things. An area that's really interesting to everyone
18:46
right now is a r v R. Right, what does the
18:48
meta universe look like for a fitness brand.
18:50
I think that's the lane where you still really start
18:52
to become dependent on that network and you have
18:55
to really have the ability to deliver
18:57
a technical performance. And I think that that's
18:59
something that's across the board that again,
19:02
just one of the things that makes me tick is
19:04
I'm a performance chunky. You know, I want everything
19:07
delivered faster, rendered faster. I
19:09
want every model run faster and every
19:11
report produced faster. That's something that's just always
19:14
a KPI across every team that I have
19:16
to some degree is how can we make sure
19:18
that it's always moving faster because technology,
19:21
in my mind, should always be speeding
19:23
up and we should keep pace with that and never get complacent.
19:26
You know, we used to be happy with eight
19:28
second page load speeds, and then we got content
19:30
with five is the benchmark, and then we said, you're not
19:32
in business if you don't do three. But now it's
19:34
sub second. Everybody wants that page so second,
19:37
Especially on a mobile device, that's where the traffic
19:39
lives. That's where people are connected, and really
19:41
that's where people are connected all day, and I
19:43
think in a fitness realm, that's
19:45
what you're really looking to do. People aren't carrying their laptop
19:48
or their desktop to the gym, and so
19:50
whether you're on a track, the opportunity to leverage
19:52
that mobile device is still extremely
19:55
important. It's got to be performance, it's gotta be reliable,
19:57
it's got to work every single time, and it's
19:59
gotta work wherever you are right and the
20:01
v R a R example is perfect
20:04
because obviously you
20:06
need as little latency as possible for that
20:08
to become an effective tool for VR. You need
20:10
it so that you don't yack all over the place if
20:13
you turn your head and your point of view changes
20:15
a second later. That's no good. But
20:17
even for a R obviously it's only useful
20:19
if it's very responsive. I
20:22
get really excited when I start thinking about
20:24
potential use cases for a
20:26
are leveraging things like a very
20:28
high speed network, whereas you
20:30
know a few years ago, you wouldn't be able to manage
20:32
that unless you had a tethered connection,
20:35
which obviously limits whatever implementation
20:38
you're thinking about. You're not going to be connecting
20:40
your phone to a massive
20:42
computer that's like three ft away from
20:44
your treadmill or whatever. We're right now
20:47
kind of in the blue sky
20:49
hypothesis phase of whatever
20:52
the metaverse maybe, and it's
20:54
really exciting to talk to different leaders who
20:56
are ideating around that and
20:59
trying to think of ways that add
21:01
value not just to the business
21:03
but to the user experience. Because
21:05
it's undefined, it's hard to do. And
21:08
the other whole lane there that I'm truly passionate
21:10
about is it isn't just you know, from
21:12
my role, it isn't just our athletes. It's our
21:14
teammates. That's our word for our employees as teammates.
21:17
And I think that that's a transformation
21:20
that hasn't happened the way it should.
21:23
Has video conference really changed that much in twenty
21:25
years? It really has it? It had gotten that much
21:27
better, right, And I really feel like that the
21:29
way people work is changing. I
21:31
mean, obviously coming out of the pandemic from us
21:34
all being at home. In my world, we're
21:36
a highly distributed workforce, a lot of
21:38
remote full time employees, and to
21:40
me, that's a huge lane to think
21:42
about how these types of technologies
21:44
again keep people connected all the time.
21:47
I think about it just as much as they do the athletes
21:49
is I want my teammates to feel like they're having experience
21:52
with our brand and they're able to connect
21:54
and create culture, a sense
21:56
of belonging with the brand, even
21:58
though you know they're all working across the
22:00
globe and around the country in a virtual environment.
22:03
I think that's a wide open area for innovation.
22:06
We talked about a R and VR and one of the things I
22:08
think that I'm most proud of what the team did through
22:10
the pandemic was early on in the pandemic
22:12
and credit this is right before I started, but there was a
22:14
decision made to begin creating three D assets
22:16
of all of our products, so before they were made,
22:19
we were going to actually make sure that we had a three
22:21
D asset of every single skew that
22:23
we were going to use. And the purpose
22:25
for that was because we knew that our sell in our
22:28
go to market cycle, especially with our wholesale partners,
22:30
was going to go completely virtual. We weren't gonna be able
22:32
to meet them in person. So we ended up
22:34
partnering with an innovation partner who was
22:36
building a virtual retail product that allows
22:39
us to bring our customers into
22:41
a virtual room and look at all of the products
22:43
for the next season in a three D model, and
22:45
that's continued to evolve to where now
22:48
we're actually able to say, hey, you know, to one
22:50
of our partners, we can render your store and
22:52
your shelves and your layout, and we can show you
22:54
what the fall product assortment's
22:56
gonna look like on your shelves in a virtual environment.
22:59
And we were able to bring them into these rooms where we have
23:01
just wall to wall screens and we can show
23:04
them that virtual environment there we're playing.
23:06
You know, we do have some headsets that we've been able
23:08
to integrate, but even just in a browser for
23:10
people to be able to go into a three D environment
23:13
and see the products, see what it might look
23:15
like on their shelves. I don't know that that's
23:17
something we ever would have got to without the pandemic.
23:19
But what that's done is it set us up for
23:21
the future. We now have those assets
23:24
we're looking at, how do I bring all those assets to my e commerce
23:26
experience, you know, and start to render three D
23:28
models there. If I end up in a virtual world,
23:30
guess what, I have all of these assets
23:33
and they're in They're high quality renderings three
23:35
D of all of our products. So I'm really
23:37
excited about all of those lanes, especially
23:39
for kind of what I call experiential tech
23:42
a r v R. Yeah.
23:44
What I find remarkable is the
23:47
rate of success I've seen in
23:49
those changes. I mean, obviously it's succeed
23:52
or you might become irrelevant.
23:55
So the existential thread was
23:57
there, but the innovation
23:59
and the agility, the
24:01
quick adoption of new
24:03
technologies and new approaches in order to
24:06
have as minimum a disruption
24:08
as possible, knowing there was going to be one
24:10
but trying to minimize it. I
24:13
love those stories. But it also creates
24:15
a new foundation to build upon in the future.
24:17
It does. The thing I'm most excited about
24:20
is the operational model that it changes
24:22
that it really is a disruption if you think about
24:24
and again, I've been around long enough to
24:26
to see different I T models. I think in the early
24:28
world where a large portion of your I T budget,
24:31
your spend your support with I T support
24:33
making sure people had computers and printers
24:36
and the network worked and they had a camera. That
24:38
gets instituted, right. But what
24:41
I love is how much we're not walking around taking
24:43
people's computers, like you know what everyone's at
24:45
home. You should know how to set up your own
24:47
computer. You should know how to set up a network in your
24:49
home, get on a WiFi. You should know how to get a
24:51
camera and a microphone to work. Like I feel
24:53
like that's something that's really shifted, and that
24:55
to me means we have a more technically advanced
24:58
workforce than we had, not necessarily
25:00
just before the pandemic, but definitely ten years
25:02
ago. Because I feel like that ownership
25:04
of in order for me to work and do my job,
25:07
I have to be kind of managing my own tech
25:09
to a degree. My I T company is responsible
25:12
for making sure I have a device, making sure that
25:14
my account is provisioned. But we're
25:16
not having to go down and replace
25:19
keyboards. They got coffee spilt in them, and it
25:21
was a cost. It was a significant kind of ongoing
25:23
operational effort, and we still have I T support.
25:26
I don't want to say it's gone away, but I do
25:28
think this idea of a more across
25:31
enterprises, brands that haven't always
25:33
been viewed as you know, technically strong
25:35
companies, like everyone's having to be a
25:37
technologist to some degree in this day and age.
25:42
Before I could let him go, I had to ask
25:44
Danny one more thing. We
25:48
talked about metrics in this episode,
25:51
but how do you measure success?
25:54
Well, I do look at a principle of approach.
25:56
So there's our business objectives and goals, which
25:58
we say we're aligned with a business that we have
26:00
to achieve certain goals throughout the year. But
26:03
on the technology side, there's a list of
26:05
things that we really care about that are what
26:07
I call our principles that don't change year over
26:09
year and associated
26:12
with those principles as a set of metrics. Right, just
26:14
to give an example, some of those principles to me are
26:17
secure architecture, user
26:19
experience, data completeness, strategic
26:22
partnership. All of these principles that we've called
26:24
out, we've knowed it down to six. I try to
26:26
keep it small. I could always have ten on my mind. But
26:28
I've always worked with a team to say, let's pick some things
26:30
that we stand for outside of achieving
26:33
our business goals as a technology organization.
26:35
What are the things that we stand for, and how do we measure
26:37
success against those things. We track
26:39
all the things with the business, obviously revenue,
26:41
everything from conversion to article activation
26:44
times to how quickly we can process
26:46
transactions and collect payments and ship
26:48
and deliver. All those things matter, and we align
26:51
with our business on those. But if we do
26:53
those and we don't pay attention to
26:55
what I like to call the important technology
26:57
principles, and we slip on something like cyber
27:00
security, all we slip on making sure
27:02
that data is complete and whole on quality.
27:04
I think those are things we have to measure ourselves against
27:07
you over year, and so when I look at success, I'll
27:09
look at a combination of the alignment
27:11
that we have on the business objective goals and how
27:13
we're contributing to those, as well as
27:15
how are we measuring ourselves against the principles
27:17
that we've decided as a technology leadership PAM
27:20
are important to be a world class technology organization.
27:23
Thank you Danny so much for joining the
27:25
show. Thank you Jonathan for having me really
27:27
enjoy the conversation. Thanks
27:33
again to Danny Miles of under Armour for
27:36
joining the show. I admired Danny's
27:38
proactive approach to tackling problems,
27:40
finding solutions, and then implementing them.
27:43
I also like his philosophy that while you should
27:45
be proud of the work you have done, you
27:48
should always strive to do better. And
27:50
it's exciting to think about the tech that
27:52
is transforming under Armor right
27:54
now. I'm very curious to see what
27:57
the next generation of technological innovation
27:59
brings to the comp and its products.
28:01
It's fascinating because I've seen over
28:03
and over how the combination of athletic
28:06
skill and technological innovation leads
28:08
to breaking world records and setting
28:10
new standards for athletic performance. And
28:12
yet I keep finding myself thinking, well,
28:15
that's it, that's the best we can be, only
28:17
to be proven wrong. The limit does
28:20
not exist, it would seem.
28:22
I expect we'll see more mundane items
28:24
become high tech over time. Some of
28:26
those will likely be specialty equipment
28:28
for high performing athletes, some of
28:31
it might be more for you know folks
28:33
like me who aren't. But
28:36
beyond all that, the elements that
28:38
make that innovation possible in the first
28:40
place are already there. With
28:43
compute power, wireless networks
28:45
and the right team in place, a company
28:47
can innovate in ways that will make operations
28:50
more efficient, it will be able to respond
28:52
to dynamic situations in an agile
28:55
way, and of course they can
28:57
find new ways to delight their customers.
29:02
Thanks for listening to the restless ones. Be
29:04
sure to check back for future episodes. We're
29:06
all talk with more restless leaders
29:08
in the tech space. I'll see you then.
29:15
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That's unconventional thinking from T Mobile
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