Revisionist History - Invisible Infrastructure with T-Mobile for Business
Episode Date: January 29, 2026A journalist reporting from some far-flung remote location. A massive blackout. Ticketless entry to a huge sporting event. Behind some of the most technologically complex scenarios is a network m...aking it possible to connect. Malcolm sits down with Mo Katibeh, the Chief Marketing Officer for T-Mobile for Business, Guy Griggs, the CNN Senior Vice President of Ad Sales and Client partnerships, and Siemens Energy Senior Vice President Steve Douglas to learn more about this invisible infrastructure. This episode is brought to you in partnership with T-Mobile for Business, and recorded live at the iHeart Studios in New York City.See omnystudio.com/listener for privacy information.
Transcript
Discussion (0)
This is an I-Heart podcast.
Guaranteed Human.
There are moments in each of our lives that seem to change everything.
An unexpected diagnosis, the sudden end of a relationship, the loss of a job.
As our lives fear off course, it can feel like time is dividing into a before and an after.
I'm Dr. Maya Shunker, a cognitive scientist, and my new book, The Other Side of Change,
who we become when life makes other plans, is all about how we navigate these.
inflection points. The other side of change pairs singular real-life stories with scientific insights
to help us find meaning in the tumult of change. What if we saw the hardest moments in our lives,
not simply as something to endure, but as an opportunity to reimagine who we can be? I'm thrilled
to share that book list gave The Other Side of Change one of its coveted starred reviews, saying,
quote, it's impossible not to be moved. The other side of change is out now. Get your copy
today wherever you like to buy books.
This episode is a paid partnership with T-Mobile for Business.
One of the reasons I've enjoyed the revisionist history partnership with T-Mobile for
business is that every time I sit down for one of our periodic conversations, I learn something
I would otherwise have not even thought about.
The conversation you're about to hear falls into that category.
In fact, as I introduce it to you, it sounds like the start of a three guys walk into a bar joke.
It was a top executive from CNN, Guy Griggs.
Steve Douglas from Siemens Energy,
the person who runs the maintenance operations
for one of the biggest power companies in the United States,
and Mo Cataba, the chief marketing officer for T-Mobile for business.
We sat down together in New York City not long ago,
and we talked about something called slicing.
A technology T-Mobile uses to help ensure
that when someone absolutely needs a strong,
network connection, they can get a strong network connection.
5G network slicing strengthens trust and connections across worldwide industries.
Think about this next time you see a CNN correspondent reporting from some far-flung remote
location. Or there's a massive blackout and you're waiting for someone to get the power back on.
What you see in both those cases is a professional doing their job.
What you don't see is a technology network behind the scenes.
that makes it possible for them to do their job.
This conversation is about telling the story of that invisible technological infrastructure.
I found it fascinating, and I'm sure you will too.
There's two ideas I want to explore today.
The first one is something that I've been struck by,
and I'm sure all of you guys have been struck by,
which is that the benefits to technological advancement are largely hidden.
In other words, only insiders kind of know what the implications of them are.
From the outside, you can't observe from the outside and know how it changes a specific field unless you're in the field.
So one of the things I want to do today is have people in the field tell me about all the unexpected ways in which technology changes their business.
And the larger theme, though, is that we're going to be talking a lot today about infrastructure.
And this idea that infrastructure is more than simply a kind of passive structural,
participant in innovation. But I want to start with Mo. We're talking, we're here today because we're
talking about something special that T-Mobile for Business is doing from a technological standpoint.
I want you to describe what it is, sort of to set up our conversation and to give us an example
from your own world about how that's made a difference. Thank you. First and foremost,
great to be here with you today, and it's great to see you again. So what T-Mobile and T-Mobile for
business have been doing is
innovating our network and creating the most advanced 5G network, frankly, in America and likely on the planet.
We call it 5G advanced capabilities.
And then with our business customers, we're really bringing this capability to life that's called slicing.
And to your point, this is a term that not everyone knows.
They don't know what it does.
And slicing is just a way of thinking about, hey, if you have a network, can you take a slice of that
network and create specific performance characteristics via that slice to ensure that businesses are
able to drive the outcomes that are important to them. As an example at Formula One in Las Vegas
that happened a few weeks ago in November, that portion of that network, that slice can be used
for things like ticketless entry to speed up 300,000 people getting in so that they can enjoy the
sport and the action. It can be used for back office operations.
all the people working behind the scenes, they may be using push-to-talk devices, they may be using
point-of-sale to make a sale.
How do you ensure that that transaction, that traffic, that push-to-talk click happens when you
have hundreds of thousands of people all in a small, limited space?
And the answer to that is you dedicate a slice or a portion of the network to that mission.
And so slicing can be used for so many different things.
as you mentioned, we're here with our friends from CNN, from Siemens Energy.
The ways that can be used, frankly, are limitless and are really, really built to think through
how can T-Mobile understand the pain points that our customers have, smash those pain points,
and help you deliver very specific outcomes. That's slicing.
A couple of questions about slicing before we get into Siemens Energy and CNN.
First off, I want to dedicate a slice because that's a way of what?
ensuring the reliability of those transactions?
Exactly.
So what's beautiful about slicing is it gives us the ability to use multiple knobs and levers.
One can be dedicating a piece.
One can be increasing the reliability or the performance of the network to adapt to the needs in real time.
Others can be, and we're getting a little bit more technical here, but latency.
How quickly is that transaction happening?
How quickly are you talking to the network?
and that signal coming back.
Some transactions require super low latency,
and that's another knob we can turn.
But at the heart of it,
you can think about reliability
and ensuring that the network adapts in real-time
to the needs of the business.
When did you guys start develop slicing?
This is how new?
Great, great question.
So, T-Mobile was the first company in America
to deploy what's called 5G standalone,
and 5G standalone enabled this set of capabilities,
the first slice at scale that we deployed was with F1 in Las Vegas three years ago.
And ever since then, there's been Rider Cop and Major League Baseball All-Star Week, as an example.
All of these things have used slicing capability to ensure that the business can do what they want.
And is it an evolving technology?
In other words, is the slicing of today better than the slicing of two years ago?
Yeah, wonderful question.
Just in 2025, we announced two very major.
first of their kind slices in the U.S.
One that we launched in February of 2025 is called T Priority.
And really what that does is provides a slice for first responders and those folks that
support our first responder communities.
Because at the end of the day, what matters to, you know, police and fire and EMS,
emergency medical, is ensuring that the network is working for them at those times when an
emergency is happening, when lots of first responders may be showing up at the same time
to a given scene. So giving them the capacity that they need in real time and expanding it to support
the number of first responders that are showing up. And then the second major slice that we launched
this year is one called SuperMobile. And it's actually the one that both CNN and Siemens Energy
are using. And we're going to get into that, I think, a bit more. Yeah, yeah. Guy, tell us a little bit
about what you do at CNN and how you came to be interested in working with T-Mobile and using
this super slice?
Yeah, sure.
So I oversee all of our partnerships,
advertising relationships across the country.
I'm all about coming up with smart solutions
that drive better business outcomes
for our partners and our advertisers.
We're going through this pivotal moment of transformation,
and I'm glad to be overseeing the ad business
as we embark upon this.
How has technology altered the way you do your work?
Oh, yeah.
I mean, just taking a step back, the media landscape has changed drastically over the last, let's say, 13 years or so.
You know, back in 2012, it was all about cable and broadcast TV.
It was all about satellite trucks and fixed locations.
And for me, it was all about trying to get as much money on to monetize those mediums as possible.
Now, you know, whether it's podcasts or newsletters or streaming or linear and cable,
or events.
Like, there are a million ways
of reaching our audience,
and the landscape has just gotten
so much more splintered and fragmented.
So now what we have to do
is really meet audiences where they're at.
And for me, I have to monetize
all of those formats and platforms and mechanisms
in a way that actually drives the business.
So that's, I'd say, the biggest change.
And with that, also,
we're becoming a digital first
direct-to-consumer brands.
And so we're creating these standalone products
that actually reach audiences across every screen device and platform
and reaches them where they're at.
And that gets really interesting when you're dealing with marketers like T-Mobile
in delivering their messages in new and innovative ways.
I'm curious about the first conversations you have with T-Mobile.
What was the problem that you defined that you wanted to solve?
Yeah.
And how did you see slicing as fitting into the...
this solution that you imagine.
So as we embark upon this digital transformation
and to basically transform CNN
into a brand of the future,
we're trying to define the future of news.
And so with that, our reporters really need to stay connected,
you know, reporting live from a natural disaster
or, you know, at a moment of celebration
like New Year's Eve or Super Bowl or July 4th or Thanksgiving
or whatever that might be,
or if they're in far-flung places, you know,
where there's not a good signal.
We need to ensure that our audience gets delivered
the information that matters most to them
and does not skip a beat.
And so as we're embarking upon this digital transformation,
it only made sense to outfit our reporters
with the best technology in the palm of their hands
to ensure that they're capturing that information
as it happens in real time.
You know, with breaking news,
you're either leading or you're following.
And, you know, for us to have a competitive
edge in this digital transformation that we're going upon.
It was critical for us to have a trusted partner that was able to capture news reliably
so that we don't break trust with our audiences and deliver what they need.
Well, I want you to jump in here because one of the interesting things here is that
when you're speaking guy, I've been a journalist my whole life, I'm well aware of all the
limitations of the various technologies I've used over the years.
But the thing is, I have no insight into what is possible technologically, right?
I just know what I've been given.
So I'm just curious, how does the process of educating a company like CNN into what's technologically possible work?
Do you, did someone at T-Mobile, like, call a guy up and say, hey, do you guys realize there's this thing out there that you may not have heard of?
Like, I'm curious about how knowledge gets diffused in these marketplaces.
What I loved about working with them is, like any...
large enterprise that's a little bit of prove it to me and show it to me. And so when a supermobile
hadn't yet even launched when we started talking to CNN, but we knew that frontline journalism
was such an incredible use case for all the reasons the guy articulated that, hey, when breaking
news is happening, the camera that you have and the video camera that you have in your pocket
on your phone may be that first way of that breaking news making it to the audience.
And so we sat down and we were having a conversation about how slicing would enable, even in moments of congestion and moments of emergency, would give them the intelligent adaptive connectivity that they need for their front line to be able to stream, as well as all of those, the big moments like Fourth of July, New Year's Eve, et cetera.
And so what happened was they said, okay, prove it.
So we gave them X number of test devices.
they embedded them with video crews and news crews around the country.
And then they put it to the stress test.
They went and ran side-by-side compares.
Oh, really?
Oh, yeah, we did a test before we embarked upon this.
We needed to make sure that the technology...
Tell me a little about the test.
Actually worked.
I mean, we had engineers and field journalists using the technology
and just seeing whether the signal was stronger
than some of the other partners that we work with,
telecommunications companies.
And it proved out.
Who shall remain nameless.
We will, yes.
We won't name their names.
But it proved to work and it proved to be steady.
And it gave our tech and product teams the confidence and our newsroom to actually say,
let's embark upon this.
Let's outfit all of our field journalists with this technology because it's going to be critical
in our news gathering and news reporter.
So it's like you're at some event and there's some, I can imagine there are moments when there's 100 reporters in a scene
and the networks might be incredibly congested in.
Yeah, it was both about congestion and areas with lots of demand.
Like New York City was one of the areas where the tests were happening.
It's important not only from a journalism standpoint,
but it was important for a T-Mobile and CNN relationship standpoint.
It allowed us to deepen our relationship because it's a win-win-win.
And it kind of sets a blueprint for how we want to be working with T-Mobile more in the future.
you know, the satellite to sell security that our journalists have while they're out in the field
enables them to do the job that they need to do better than anybody else.
Our audience wins because they don't skip a beat, and then T-Mobile gets the opportunity to show up
in a very meaningful and authentic way, in a trusted way, where the audience knows that, you know,
what they're seeing right now is powered by this incredible technology.
And so it's something that, you know, we think is never been done before.
for watershed and really demonstrative of where we want to go as a company moving forward.
I remember when I was starting out as a reporter of The Washington Post,
I was given a what was called a trash 80, a radio shack.
Like, calling it a computer is too, way too flattering.
And it had two cups.
Do you remember the cups?
You ran to a pay phone, and you put the cups on each of the two things.
And then you use tones to trash.
And if you were covering a big event, there'd be like three pay phones, like half a mile away.
And then there'll be a line of reporters waiting to use the – and if you were trying to beat the competition, you just wouldn't leave the payphone.
Yeah.
You just stick there and make the New York Times wait.
I worked for the Washington Post.
Malcolm, you're dating yourself.
This technology allows, like, our reporters to literally have a satellite truck in their hand, so they're not dealing with cups and strings and, like, waiting on lines for other reporters to finish.
I'll give you a real example that was playing out at F1, which is the first.
photographers from any news outlets, their workflow was they would take pictures and then they would
hand their SD card, the memory card from inside the camera, to a runner. The runner would then literally
run to somewhere to upload the photos. What we're able to do with slicing technology is we've
launched a solution that plugs directly into the camera and uses the slice and the 5G network so that
in real time, every photo that's being taken is moving over file transfer protocol to an FTP
site. The editors are then able to grab it, which means breaking news is able to happen even faster,
and they're able to beat the competition to whatever that iconic next image will be in getting
it out to the eyes everywhere. Yeah. Steve, I'm sorry, I feel we've been ignoring you.
Before I get into the way Siemens Energy has worked with T-Mobile, I'm curious.
about your own background. I'm assuming
you're an engineer. You're an engineer.
I'm an engineer, yep. Originally.
Yeah. And what kind of
engineer? Actually, marine engineer.
Interesting. How would you describe your
current job with
Siemens Energy? I've got a great job
with Siemens Energy. So my organization,
my teams, we
service the power plants
across the United States.
Power plants,
no different than your car. Every
so often, they have to do periodic maintenance.
We show up with a crew of people, take the turbines, the generators apart, stem to stern, inspect them, repair them, modernize them, upgrade them, and then return to service to help power America.
So last year, Siemens Energy equipment generated about 25% of electricity used in the United States.
There's over 2,200 units spread out across 1,100 sites in 48 states.
2200 units?
Correct.
How many people work for you?
In my organization, I have about 1,500, and then I bring on about another 3,000 contractors every year.
Oh, wow.
Basically, if a generator goes down somewhere or a power plant goes down somewhere, you're the person who gets called?
That's correct.
How did you come to want to work with you?
T-Mobile for business. Tell me how that came about. What was it if they offered you that you
needed? We have teams on site. So when we go to a power plant, a small event for us might be 30
people on a site for 30 days. A big event for us could be 300 people on site for six months.
And it's all about that. Wait, for six, you might be on a site for as long as six months.
Oh, yeah, absolutely. And over the close to that six months, what are you doing?
You're essentially taking it, you're taking the whole thing down and going through it?
Yeah, take it apart, we rebuild it, you know, there might have been some sort of damage to the equipment, you know, waiting on other parts to show up.
You know, we've had events that have taken over a year on different sites.
But for our people on site, you're kind of comparing interesting history.
We used to have to show up with boxes and boxes of drawings and manuals.
the connectivity that we get now lets our people access our engineers globally, whether they're sitting
in Germany, India, the U.S., it allows them to talk to the factories, it allows them to access
drawings, process, procedure. But then it also does things like lets us run payroll. I mean, you know,
it enables everything to happen because when we show up at these plants, you know, we show up
office trailers, bathrooms, cranes, tools, parts. You know, none of it exists. You know, none of it
exists when we show up and none of it's there when we leave, and we do that 300 times a year.
Yeah, yeah. So logistically, what you're running is something incredibly complicated.
So walk me through, you've got this group of, you say, as many as, do you say as many as 60?
Or 300 was the high?
Yeah, potentially at a site.
Yeah. So you show up and walk me through what the first couple of steps are and how
this kind of connectivity would make a difference.
I mean, we hire union workers. We're partnered with the UBC and hire Millwrights.
So first thing is, sign up, then it's go to safety training, go to site orientation training,
customer will bring the unit down, lockout, tag out, make sure that all the systems are safe to work on.
Then take the machine apart. As the machine's coming apart, you're inspecting every piece.
Is it in the condition it should be? Is it worn? Is it broken? Does it need to be replaced? Are we modernizing it?
These machines are how big?
It is essential?
From what I work on, you know, on a small side, it's about 80 megawatts.
On the large size, up to like 1,500 megawatts.
So, 1,500 megawatts power a million and a half homes.
Yeah.
Yeah.
And, you know, there's nothing we work on that you're moving with hand.
Everything's being moved with a crane.
Yeah.
You're dealing with a complex piece of machinery.
You're a German-based company.
You're...
You had to show up with...
with boxes and boxes of manuals and you had to be in communication with people who presumably
designed the machines back in Europe.
Yep.
Talk a little bit about the difficulties of that earlier paradigm.
Going to the earliest parts of my career, you know, if you wanted to send a picture or a
sketch of what you found at the site, you actually had to send it by mail, you know, and turn
it around. And then, you know, you could fax it. And then all of a sudden, you could attach a digital
picture to an electronic communication. And, you know, now with this technology, you know, we can
live stream in 4K and, hey, this is what I'm looking at. You know, do you see this? Okay, hey,
I want to see from this view. You know, in the technology just allows that real time,
regardless of where the people are sitting, you know, collaboration as well as access to all
the technical information. Yeah. What's the big payoff for you? Is it that you can now speed up the process
of doing this kind of maintenance? Absolutely. For the customer, the owner of the power plant,
whether it's a utility, an independent power producer or some sort of municipality,
you know, bringing that unit back sooner is beneficial to them, getting my crews off site.
Sooner saves me money, lets me send them to another site. So it's all,
about the speed. And, you know, the last thing we want to be slowed down with is communicating with
engineering, getting that technical answer, you know, getting that support. You know, I need whatever
environment my people are working at to seem like they're sitting at headquarters and have access to all
the same information. Yeah. So Team Mobile gives, you're now able to equip all of those technicians with
essentially a dedicated slice, a super mobile dedicated slice. Yeah. And, you know, as you can imagine, you know,
maybe unlike where people are reporting, you know,
everything that we're happening is kind of more remote.
You know, your power plants aren't generally found in your city centers and your hubs.
So it's that connectivity, whether it's 5G or satellite, you know, lots of different options,
but it's connecting our people to what they need.
And how did you find out about SuperMobil?
It was kind of an initially organic conversation they came to us.
said, hey, we think we've got something for you.
You know, we're always trying to get our people that bandwidth on site.
And, you know, we brought them a problem like to you.
What can you do?
And that's what started the conversation.
And for T-Mobile, it's, I mentioned this before, but it's worth repeating.
Like, we start with what are our customers' pain points?
And we knew with Siemens Energy, remote workforce, worker safety,
efficiency were things that were incredibly important. And so as we were designing and building
super mobile as a solution, we really thought through what customers, what industries do we think
will really benefit from this value proposition and these paying points that we can come to smash.
And this is why the conversations with CNN around frontline journalists began. This is why the conversations
with humans' energies around remote workers, working in some of the most remote
parts of America began.
And it was so exciting for us to see that, yeah, there was a there and we could really
help our customers win.
The case studies, you've got like F1.
Yeah.
You've got like frontline journalists, you know, reporting on, you've got like the power
plans that we can't live without.
In rolling out something like this, do you choose early case studies that you think will kind of
capture the attention of, I mean, there seems to be an art behind that.
who you're...
This is why I love business and B2B.
I mean, like, just listening to these stories about solutions that are serving Americans,
whether the end consumer that's receiving the electricity or the power of the energy
or the person at home or on the go who's consuming news content,
like everything in our lives in some way is touched by business.
And so absolutely, when we're building any solution, we're always thinking about,
okay, what are the pain points?
What are the specific verticals or industries that could benefit from this?
And then because we're deep in the B2B, we're able to bring industry experts to the table internally
and trusted partners and customers to have a conversation on,
hey, does this really achieve and smash the pain point that you have?
And so the answer is, yeah, absolutely.
And it's a lot of fun, too.
We'll be right back.
Fear is the virus is trending on TikTok.
vaccines are poison.
Then your yoga teacher says that sex
traffic children are being sacrificed
by satanic liberals, but it's all
okay. The great awakening
is coming. What is
happening?
Every week on Conspiratuality
podcast, we explore the fever
dreams that suck friends, family
and wellness gurus down
the right-wing cult spiral in a
search for salvation.
And we're back.
Who needs this technology who hasn't adopted?
What I love about SuperMobile is that there's three key capabilities.
So let's start there.
One is the slicing that we've talked a lot about.
I think of that is intelligent adaptive connectivity that meets the performance and real-time requirements of businesses.
The second one that we haven't got into very much is built-in security to ensure that as part of any layer cybersecurity defense posture that our businesses are taking, we're helping protect also at the network layer.
And then the third one is the satellite capabilities that allow people to communicate from anywhere that they're at.
And as I think about that, the one that we haven't really gotten into is events, concerts, political conventions, things like that, where the slicing elements of it, I think really, really can help.
And then on the satellite side, I still think there's opportunity.
around workers that are deeply remote outside of energy.
Government employees in like national parks as an example
that could use the satellite capabilities in their everyday job
and really for safety purposes.
To make sure that in one way or another,
they're always on the grid.
Yeah.
Steve, I had to come back to you for a moment.
I'm curious about as you've kind of experienced this technology
and have thought about how it affects your workflow and all these.
do you, is there a point at which you start to reimagine what your, these job sites look like?
I asked this question really because I remember we did a T-Mobile conversation once with these firefighters.
Do you remember those guys?
Oh, yes.
And the firefighters were completely rethought the way they fought fires once they had this technology.
Because they would go, instead of having everything from directed from a command center,
off-site, they would just put a server in the back of a pickup truck and go directly
into the fireside and have all the decisions made there because now they had connectivity.
So this, what seemed like a relatively simple shift in the infrastructure, completely changed
the way they thought about firing fighters.
And all of a sudden, the firefighters on the scene had to make, were able to make
all kinds of decisions they never made before.
I'm curious about, could you talk about, you must have thought about, wait a second,
this means I could do this, this, and this that I've never done.
before. Yeah, the idea of a tablet, you know, in an engineer, a technician or a craftsman's hand,
you know, with the work instructions, the ability to pull a drawing versus walking back to a
trailer to do that. And then the ability to really just collaborate, you know, on the deck plates,
you know, with an engineering organization, be it, you know, in Europe or somewhere else,
you know, it's all right in the, in your hands.
And that goes into, you know, changing and streamlining, you know,
what we're doing on the customer sites and ultimately eliminating things.
That's really interesting.
Give me a concrete example of a step you could eliminate.
One example I love is the see what I see.
Right.
Yeah, I don't know.
If we were inspecting a row of blades, you know, you could,
instead of me going,
going through and documenting what each blade is,
taking pictures of it, go through and write a meticulous report.
Hey, I just visually inspected these.
I'm going to let you visually inspect them with me.
Okay, hey, they're acceptable as is versus, you know,
getting into dimensioning and visual inspections
just to communicate to an engineering organization.
Yeah, yeah.
Like with the camera on the phone,
via super mobile now literally you can,
to use a consumer term,
FaceTime in someone, an expert,
and let them in real time see what the technician on site is seeing and assist them.
Guy just, is there a point where we start to reimagine what covering an event looks like
when we radically improve the kind of underlying connectivity?
Connectivity.
We launched last month a new streaming service.
It's this adaptive live news experience that's designed for the modern news consumer.
Live when it matters, deep when accounts, available in each.
time anywhere. It's basically having the entire CNN experience in the palm of your hand on the phone.
And, you know, with that, it's going to afford us the opportunity to do some really cool things with
our journalists. We think in this new age of AI, headlines are going to be commoditized.
You can get them anytime, any place anywhere, right? But people trust people. And we have some of the
biggest world-renowned journalists on the planet, like people that are anchors and reporters and
you know, that millions and millions of people really trust.
It's taking the news reporting to the next level.
These capabilities aren't afforded right now
within this new streaming products,
but they're on the roadmap in 2026,
and we're hoping that Team Mobile
will be the underpinnings of technology
that allow us to do all of that.
So that's taking it to the next level.
A question for all three of you.
What do you want next?
So all of you have described a technology,
that allows an existing set of processes
to be done much more reliably in.
Is there something, what's on your wish list?
Where could the technology go?
Love this question.
I mean, at the heart of it, slicing is replacing
what used to take wires to do.
You mentioned it at the beginning,
which was fixed locations and satellite trucks.
We talked about F1.
At the end of the day,
over the last X number of decades,
has been this massive transition
and transformation from needing to,
physically connect everything with a wire, to now we can use slicing to emulate what
wireline networks used to do on mobile networks. So as I think about what's next, it's really about
how much more can wireline networks be disrupted to solve real challenges and create value for
business customers. And that's what I spend a lot of my time mowing on. You haven't mentioned,
Mo, I keep waiting for you to mention healthcare because I feel like the implications here for healthcare
are huge. Yes. Yes. We talked actually once before a little bit about healthcare, but what I,
for healthcare, the way we think about it is one, emergency medical services are first responders.
That's right. So they absolutely have access to and we see them using the T priority slice.
But then where the magic happens is the integration of that slicing technology for the moving vehicle, the tablets in the vehicle, helping save lives, and the ability to transfer and transition that data off of the EMS solution directly into the hospital or the healthcare facility where they're showing up.
And I have multiple examples I could take you through of hospitals that have deployed 5G purpose-built coverage,
usually to replace something like Wi-Fi
to enable massive amounts of data
much faster at lower latency,
fully integrated with the EMS community around them,
to do their thing.
I had a heartbreaking conversation with a guy,
an ER doc in Chicago,
who was training kids
in the kind of rudimentary principles of first response
because on the south side of Chicago,
it's the public who comes
upon a gunshot victim first, right? And there might be a five or ten minute window where
some civilian is just sitting with the body. And he was trying to teach them about, you know,
compress the wound or whatever. But I can imagine, couldn't you imagine a universe where they
just take their phone out? Exactly. And, you know, and take a picture of a video of everything,
and that's sent immediately to somebody who could tell them in real time what to do.
Exactly. We're thinking about the Siemens Energy example of what I see.
I fundamentally believe and know that over time what we're going to have is just overlays.
So you're going to use the camera on your phone.
And on your phone as you're pointing at something, it will show you the schematics.
Or it will show you how to help a patient in real time with instructions.
So someone can be holding it, someone else can be looking at it, and it tells you the thing.
Where I thought you were going to go with the thing we have not yet talked about, which in this year, we haven't talked about AI at all.
all. That was good. That was my next. I had a, it was, I thought that Steve would be the
natural one to, because clearly that's, you were talking about connecting to the guy back in
Germany. Yes. But maybe the thing that you're doing with your, with this connectivity is bringing in
AI and having diagnostics that way, right? Am I right? We don't know what we don't know yet
with it. You know, the, but the, the, the promise of just, we've got years worth of,
running data. We've got years worth of inspection reports. How do you overlay those two together
and have AI, you know, start doing smarter maintenance, doing more predictive maintenance,
deferring maintenance, you know, based off of what we can see with the AI. But, you know,
just getting ready for what the infrastructure and the power to build this next wave of AI for the U.S., you know,
it's what's driving our industry right now.
The data demands of having a kind of open interaction with,
I'm assuming they're far greater than interaction with a human being.
In other words, if I'm Steve, or I'm one of Steve's people,
and I'm on site and I have some problem,
and I want to be able to contact the specialist in Germany,
or I want to have access to an LLM that has got all the manuals.
One is much more data intensive than the other.
right? Absolutely. It really boils down to are you using text? Are you using voice or are you using video?
Because the AI compute itself, that's its own server, its own mechanism that's sitting and processing.
But then the mechanism by which you're bringing that information to and from is where it gets more intensive based on the modality that you're using.
So if it's a chat AI, it could be relatively limited, bandwidth that's required voice.
bit more and then video the most.
Yeah, yeah. Guy, have you thought
about that in the context of, is that
a challenge or a question that
comes up with, at
CNN? With AI
specifically or with just the
future of reporting?
You know, because I was thinking in this conversation, you know, we're talking
about, what we're really talking
about with all of these conversations is
we are making, we are increasing
the sophistication of the point
of connection between whoever
has this device and
or whatever, and the problem they're trying to solve.
And with journalists, that's an incredibly fascinating question
because you can imagine a situation where someone is observing something
and AI is helping them understand what they're seeing.
I agree.
I think that all of these advances in technology are just going to enable us to do what we do
on steroids, much, much better.
It's also going to enable us to potentially provide
value or utility to the general public in society.
So just getting back to the thing, like allowing us to do things better, we defined real-time
journalism on cable TV 45 years ago.
We were the first network to have 24-7 news.
And that costs a lot of money to do, right?
And so what we're hoping is with all of these advances in technology and literally not needing
those satellite trucks and not needing that camera crew and literally having all of the
in the palm of your hand, it'll allow us to do that much more efficiently.
And then lastly, I would say with the utility piece, which is kind of, you know, this hasn't been
vetted, this is just my thoughts, like let's say we are running towards the fire or running
towards the flood and we're the first on location and we see people that are in need.
Is there a way that we, through Supermobile, can connect to the local EMS or could assess what's
going on and say there's a need for X, Y, and Z in this moment?
So we're not just reporting what's going on,
but we're also able to help solve for whatever disaster
or a problem is happening every time.
So that's kind of like the next step where, you know, this...
I was thinking of war reporting about how...
War reporting, which is the most confusing
and kind of mistake-prone.
The idea that a reporter on the scene could be taking video
and having, you know, identify that plane you see
was this kind of plane that belonging.
to this country and not that country,
and that missile you see was this kind of missile,
that kind of thing improves the fidelity of the on-site reporting
and has all kinds of ripple effects downstream, right?
Because we have a less corrupted data from the source.
Totally.
Yeah.
We should probably wrap up,
but there's a couple of themes I wanted to kind of end up.
The first one is that the effects of technological innovation
are unpredictable and unknowable.
I don't imagine.
I'll correct me if I'm wrong.
When you guys were coming up with slicing
and with Supermobile,
you did not anticipate all the ways
in which the technology could be used
by your customers.
You had some of it, a sense, I think, probably.
But when you listen to Guy and Steve,
am I right?
You hear things that you didn't think
that was what it was going to be about.
That's exactly right.
I mean, again, thinking about the arc of time here,
20 years ago, no one predicted slicing was coming. You know, arguably five years ago,
no one saw the rise of AI in the way that it's actually played out from about three years ago.
But yeah, as we're building mobile networks and as we're thinking about the future of now
5G to 6G, and what are those use cases and how can they serve businesses?
100%. It's these sorts of conversations on, hey, what's going on in your business and what
challenges are you dealing with and what are you trying to fix or address this year that then gives
us the ideas of how can we shape the technology and build the technology in a way that
addresses the need? Point number two, reflection number two from our conversation is that
the systems that we have built as a modern economy are probably a lot less efficient than we
think. In other words, we assume we're doing a pretty good job. Then a new tech
comes along, we're like, oh, actually, you could do it way better.
Right?
So just when you think you've optimized a system, you think that, oh, I send the reporter,
I got a satellite truck behind the reporter, we're fine.
This is the way we do news.
And actually, no, there's a way better.
Yeah.
And just in terms of like storytelling formats, you know, super mobile will enable
vertical video, which is becoming really hot right now.
It's the predominant way that people are consuming video on social.
social media, et cetera, we're just getting into that game, and we're going to be able to tell
these visually arresting stories in live format and vertical video, mobile first storytelling,
leveraging that. And I think the future, you know, the best is yet to come. I have no idea
what it will avail. But I just, I already see some future applications of where this could go.
Yeah. And then the third thing, and maybe the most important thing is the thing I alluded to earlier is
we are working towards a new definition of trust.
here, that we've been thinking about trust for generations now as being about transparency and
fairness and predictability. But now we're adding this fourth component of reliability.
I can reduce a number of catastrophic power outages or system breakdowns.
I can reduce the error rate of a journalist, the scene of a thing.
And that that may be that new additional, that new way of addressing.
investing reliability can enhance trust, you know, maybe as much as the other sort of three
traditional pillars of trust enhancement, which is a very, very intriguing thought.
Anyway, thank you. This has been fascinating. Thanks to all of you.
An unlikely pairing that proves not so unlikely in the end. Thanks so much, Michael.
Good senior.
This episode was made in partnership with T-Mobile for Business, and I heart
Media. Special thanks to Moe Catabaw, Chief Marketing Officer, T-Mobile for Business. Guy Griggs, Senior Vice President
Ad Sales and Client Partnerships at CNN, Steve Douglas, Senior Vice President's Service Operations,
Siemens Energy, and the entire production crew at IHeartMedia. This episode was produced by Nina Bird
Lawrence and Lucy Sullivan, editing by Karen Chakurgy, mastering by Marcello D. Oliveira. Our executive
producer is Jacob Smith. I'm Malcolm Gladwell.
There are moments in each of our lives that seem to change everything. An unexpected diagnosis,
the sudden end of a relationship, the loss of a job. As our lives fear off course, it can feel
like time is dividing into a before and an after. I'm Dr. Maya Shunker, a cognitive scientist,
and my new book, The Other Side of Change, who we become when life makes other plans,
is all about how we navigate these inflection points.
The Other Side of Change pairs singular real-life stories
with scientific insights to help us find meaning in the tumult of change.
What if we saw the hardest moments in our lives,
not simply as something to endure,
but as an opportunity to reimagine who we can be?
I'm thrilled to share that Book List gave the Other Side of Change
one of its coveted starred reviews, saying,
quote, it's impossible not to be moved.
The Other Side of Change,
Change is out now. Get your copy today, wherever you like to buy books. This is an IHeart podcast. Guaranteed Human.
