Speaker 1: Pushkin. This episode is a paid partnership with T Mobile
Speaker 1: for Business. Hello, Hello, Malcolm Glawel. Here today. I wanted
Speaker 1: to share a very special conversation I had recently hosted
Speaker 1: by my good friends at T Mobile for Business about
Speaker 1: how AI is changing our world. My guests are oh Kataba,
Speaker 1: the CMO of T Mobile for Business, doctor Azizi Satias,
Speaker 1: chair of the Department of Informatics and Health Data Science
Speaker 1: at the University of Lammy Miller School of Medicine, and
Speaker 1: Ryan Litt, COO and co founder of three AM Innovations.
Speaker 2: MO.
Speaker 1: I know from years ago when we had a fascinating
Speaker 1: conversation about five G when that technology was in its infancy.
Speaker 1: Ryan is from Buffalo and we shared a deep affection
Speaker 1: for the Buffalo Bills. And as Easy as will soon
Speaker 1: be obvious is Jamaica, which of course is the surest
Speaker 1: way to my heart. Anyway, we talked about some really
Speaker 1: cool applications of AI and five G and the way
Speaker 1: really smart people like Ryan and as Easy are using
Speaker 1: these technologies to solve some pretty hard and fascinating problems.
Speaker 1: Thank you. Hey everyone, we're all wearing our Should we
Speaker 1: just put our I know this is a podcast. You
Speaker 1: can't see it, but we're all wearing T mobile sneakers
Speaker 1: right now. I see two of us have got the
Speaker 1: Air Forces and then the others se converse converse. Yeah,
Speaker 1: very so we're all representing the brand I think very
Speaker 1: effective to here. So we're here to talk about AI
Speaker 1: and five G. But what we're really here to talk
Speaker 1: about is something much simpler and more important than that,
Speaker 1: is problem. So, right, all of you guys are people
Speaker 1: who basically solve problems for a living, and I wanted
Speaker 1: to start there, and maybe Ryan, you could kick us off,
Speaker 1: tell us a little bit about what you do, but
Speaker 1: then tell us about the problem you're trying to solve.
Speaker 3: Sure. So, when we think about emergency events and really
Speaker 3: at the majority of the world, the primary tool set
Speaker 3: that firefighters use is a radio to communicate their status
Speaker 3: to the outside operation. And I'm sure we can all imagine, however,
Speaker 3: you know, winding hallways, dense forests, black smoke, falling debris,
Speaker 3: pretty reasonable to expect that people can become disoriented, They
Speaker 3: can be a bit confused, and the issue for a
Speaker 3: firefighter is when they're confused inherently, so is the rest
Speaker 3: of the operation.
Speaker 1: Yeah, wait, before we go on. Tell us a little bit,
Speaker 1: but how how is it you landed in this particular world?
Speaker 1: Why is it you're thinking about this problem of the
Speaker 1: disorientation of the of the firefighter.
Speaker 3: Well, you know, ultimately, when there's confusion, it ultimately leads
Speaker 3: to injury and sometimes death. So the true inspiration to
Speaker 3: our origin is in Buffalo, New York. There was a
Speaker 3: convenience store that was on fire, and you know, upon arrival,
Speaker 3: firefighters quickly got to trying to put out the fire.
Speaker 3: But the firefighter, the fire itself moved faster, so they
Speaker 3: had to call an evacuation, pull everybody out, but they
Speaker 3: were unsure if everybody got out, so they assigned a
Speaker 3: team to go sweep the facility to try to rescue
Speaker 3: anybody remaining, and unfortunately the structure collapsed over top of
Speaker 3: them and killed them both. And when was this go ahead?
Speaker 3: Two thousand and nine. Yeah, And to make matters worse,
Speaker 3: there was nobody inside. They were just unsure. And so
Speaker 3: for us, it's no slight against them, but we just
Speaker 3: feel like they deserve better tools. There has to be
Speaker 3: more than what they have. That race. No slide against
Speaker 3: the radio either, But all of us are here because
Speaker 3: technology is flush in many other places and our belief
Speaker 3: as they deserve to have it too.
Speaker 1: Tell us how that company starts. Does it arise out
Speaker 1: of that particular incident, or I'm just curious about how
Speaker 1: you kind of evolved to the point where you were
Speaker 1: looking for solutions to that problem.
Speaker 3: Yeah, So I mean that event was in two thousand
Speaker 3: and nine. We officially started in twenty seventeen, so there's
Speaker 3: a time and distance between those two things. My co
Speaker 3: founder Patrick is a volunteer firefighter, and he was constantly
Speaker 3: educated that if career firefighters, which to be clear for everybody,
Speaker 3: they are getting paid and work as a firefighter every day,
Speaker 3: but volunteers typically have a day job and then they
Speaker 3: get called to an emergency event in the middle of it.
Speaker 3: So the message was, if the career people can make mistakes,
Speaker 3: we're definitely going to be prone to making mistakes, so
Speaker 3: let's learn from this. And so Patrick kind of lived
Speaker 3: with that for years in education and felt, come on,
Speaker 3: I got this iPhone in my pocket, there's got to
Speaker 3: be something more. And finally, by twenty seventeen, technology seemed
Speaker 3: to go in a place that made sense, and he
Speaker 3: had to find a partner to help him do it,
Speaker 3: and that's why we ended up pursuing it from there.
Speaker 3: So our original intent was to build technology to help
Speaker 3: them in these emergency events. The hard part, though, is
Speaker 3: an emergency is inherently chaotic, unpredictable, right, and all of
Speaker 3: a sudden we think, Okay, we're just going to repurpose
Speaker 3: technology that already exists and afford it to the fire service. Instead,
Speaker 3: we're at the edge of technology, actually pushing on capabilities that,
Speaker 3: according to colleagues and people that we worked with in
Speaker 3: NASA and DHS, didn't exist. So for example, like tracking
Speaker 3: someone's location when they are GPS denied, you know, helping
Speaker 3: communication to be shared when you are communication denied. It
Speaker 3: turned out that not many people around the world were
Speaker 3: doing it, and at which point we said, oh, this
Speaker 3: is going to be a lot more of a difficult
Speaker 3: endeavor than we had anticipated. So that's the origin of
Speaker 3: why we're here, is there.
Speaker 1: This is all super interesting, and I want to come
Speaker 1: back in more detail after we've gone down the pen
Speaker 1: a little bit. But one thing I wanted to talk
Speaker 1: to you to talk about just a little bit, so we
Speaker 1: understand this. When you have a kind of fire that's
Speaker 1: out of control. The specific issue that you were trying
Speaker 1: to solve is that once someone a firefighter, entered the facility,
Speaker 1: you lost track of where that person was, right, and
Speaker 1: there was no existing system in place that would allow
Speaker 1: you to easily track that person. Correct. Yeah, And is
Speaker 1: it because of the the Is it because the fire
Speaker 1: had destroyed any kind of infrastructure that might make that possible,
Speaker 1: or is it just I mean was why is what's
Speaker 1: particularly hard about about tracking someone in a in the
Speaker 1: middle of a burning building?
Speaker 3: Well, circumstantially, it wasn't necessarily the case that comms are
Speaker 3: necessarily completely blown out. Not always the case, because sometimes
Speaker 3: the radio system continues to function. There are so many
Speaker 3: dynamics to the situation that for you to give someone
Speaker 3: a tool that you say, universally will help you is
Speaker 3: a very precarious undertaking, Right. You have to handle in
Speaker 3: a large structure like we're in now, in a small
Speaker 3: structure in a suburban area, in remote areas and wild
Speaker 3: land fires and such, right, And it has to work
Speaker 3: on all of those places in order to work for
Speaker 3: a firefighter, because the modern firefighter experiences so much right, so,
Speaker 3: you know, chasing those problems fundamentally difficult, a lot of data,
Speaker 3: a lot of error, right, and you know you push
Speaker 3: hard to make sure that it's purpose built. So I
Speaker 3: think this is where the AI portion of our discussions
Speaker 3: makes sense. Right. It can help to interpret a lot
Speaker 3: of inputs and give us some simple surfacings and understandings
Speaker 3: that we can leverage from there.
Speaker 1: Yeah, well, I want you to respond to Ryan. And
Speaker 1: I'm curious whether did you when you when you when
Speaker 1: you started on this road, did you imagine you'll be
Speaker 1: having conversations with people like Ryan.
Speaker 2: I was certainly hopeful. Being able to serve the first
Speaker 2: responder community is such an important undertaking, you know, every
Speaker 2: single day to protect you and me, our families, our communities.
Speaker 2: And you know, from a TE Mobile for business perspective,
Speaker 2: how can we take this incredible best in the nation
Speaker 2: five G network and how can we harness some very
Speaker 2: specific capabilities to bring to life a solution that serves
Speaker 2: the first responder community? And you know, companies like Ryan's
Speaker 2: three a M. And just a few weeks ago now
Speaker 2: we launched what we call TE Priority, which brings not
Speaker 2: just the network which has forty percent more capacity, which
Speaker 2: means more firefighters and police and ems showing up at
Speaker 2: a location, are able to get on the network and
Speaker 2: do what they need to do. But then something that
Speaker 2: we call a slice, which is really a fancy technology term,
Speaker 2: which is, hey, can we create the a traffic cop
Speaker 2: if you will, a capability that as first responders are
Speaker 2: getting on the network that not only gives them the
Speaker 2: access to the network, priority access and then preemption access
Speaker 2: to essentially bump if you will, a commercial user off
Speaker 2: of the network, and that's been around for four, five, six,
Speaker 2: seven years at this point, but can we give them
Speaker 2: the ability then to manage that traffic and dynamically allocate
Speaker 2: the amount of capacity on the network to the first
Speaker 2: responders so that in these sorts of scenarios where extreme
Speaker 2: congestion can be a current, you know, like a trained
Speaker 2: rail ment or a massive natural disaster, et cetera, that
Speaker 2: we can essentially give up to one hundred percent of
Speaker 2: the network over to the first responders so that they
Speaker 2: can save lives.
Speaker 1: Yeah, I want to return to that, but I want
Speaker 1: to talk a little bit too. As easy you are
Speaker 1: tell us what you tell us your title of your job.
Speaker 4: So I currently serve as an interim chair for the
Speaker 4: Department of informatics and health data science, and I'm the
Speaker 4: phone and director of the Media and Innovation Lab, and
Speaker 4: I co lead a sleep on circadian science, and I
Speaker 4: lead population health informatics. So, not to be funny, but
Speaker 4: as a Jamaican, we're known from multiple jobs.
Speaker 1: And yes, this is at the University.
Speaker 4: Of It is at the University of Mine. But you're
Speaker 4: a doctor by I'm PhD. I'm a clinical psychologist. But
Speaker 4: I lead many off the efforts at the university to
Speaker 4: lead digital transformation. And so I was recruited from an
Speaker 4: another large institution when I was at NYU School of
Speaker 4: Medicine to lead this effort at the University of Miami.
Speaker 4: And the reason why it's important is because the University
Speaker 4: of Miami really serves as the academic epicenter of the Southeast,
Speaker 4: particularly in Florida, and Miami in particular is really considered
Speaker 4: the gateway to the global South. For those of you
Speaker 4: are not familiar, the global surth represents eighty percent of
Speaker 4: the world's population, yet as a euphemism, they're oftentimes seen
Speaker 4: as the poorest, less resource, particularly in healthcare. And so
Speaker 4: I was brought to lead that effort to create models
Speaker 4: that would be able to serve not just South Florida,
Speaker 4: but how it could be translated to similar socio economic
Speaker 4: deprived communities throughout Florida and then use it as a
Speaker 4: model to pre really do this in the global South.
Speaker 1: You at what point during your career did you realize
Speaker 1: what you wanted to do is use technology to solve problems.
Speaker 1: I mean, you have a PhD in clinical psychology. You're
Speaker 1: not looking at AI and five G when you're doing
Speaker 1: a PhD.
Speaker 4: Well, you know, so, great question. So when I realized
Speaker 4: that technology was important was when I realized that many
Speaker 4: of the most vexing health care challenges that we saw
Speaker 4: in my own family, my grandmother who raised me, and
Speaker 4: we realized that there was just significant lack of resources.
Speaker 4: She had insurance, but what we saw was a significant
Speaker 4: gap in the continuity of care. And extrapolate in her
Speaker 4: experience to what I see when I go to barbershops,
Speaker 4: beauty sulments, and faith based organizations. Because we're one of
Speaker 4: those folks who we like to be in the community
Speaker 4: that we don't believe in this sterile brick on mortar
Speaker 4: healthcare because we believe healthcare needs to be more And
Speaker 4: what we found out was that in order for us
Speaker 4: to meet the challenges that our nation and our globe
Speaker 4: sees that we either need to train a whole lot
Speaker 4: more healthcare practitioners, which we still need to do, but
Speaker 4: that was not going to be sufficient to close that
Speaker 4: gap in good time. So what we realized was that technology,
Speaker 4: though it is not a panacea that can cure all,
Speaker 4: was going to be the means by which we were
Speaker 4: going to be able to one provide the care that
Speaker 4: so many people desperately need, but also to provide adjunctive
Speaker 4: and supportive and augmentive care to healthcare provide us. And
Speaker 4: so technology became the means by which it would allow
Speaker 4: us to really extend our tentacles into places beyond that
Speaker 4: we thought were unimaginable.
Speaker 1: It gives a specific example, yeah, of a moment where
Speaker 1: you realized, oh, this is a NOTT we can only
Speaker 1: crack with technology.
Speaker 4: Yes, So we created our own remote health monitor and
Speaker 4: solution called the Mailbox, and we were funded to do
Speaker 4: some really novel research looking at cardiovascular health in urban
Speaker 4: and rural areas. And so, like most scientists, we don't
Speaker 4: care about you know, accolades per se. We just wanted
Speaker 4: to do the work and we did the work, and
Speaker 4: then COVID happened, and we went into someone's home because
Speaker 4: we would typically send out technicians. And I remember because
Speaker 4: she's part of our study, and because of HIPPO compliance,
Speaker 4: I can't say her name, but we'll call her Miss Jones.
Speaker 4: Miss Jones is a sixty year old African American woman
Speaker 4: lives in Brooklyn, and we call her Miss Jones. Such
Speaker 4: and such will be coming down there to do the study.
Speaker 4: And she said, hey, honey, you ain't coming here at
Speaker 4: all because I ain't trying to get the RONA. And
Speaker 4: that allowed us to realize that how can we flip it?
Speaker 4: And that's what really spurred us into action quickly to
Speaker 4: create a remote health monitor and solution, knowing very well
Speaker 4: that it can be used for people. It's oftentimes said
Speaker 4: that since twenty sixteen, you're about one hundred and forty
Speaker 4: million emergency department visits and they are about sixty percent
Speaker 4: of global deaths that can be attributed to non communicable
Speaker 4: diseases like cardive metabolic health. And what are the biggest
Speaker 4: drivers of that? No healthcare right and people don't have access.
Speaker 4: So when we went to someone like Miss Jones and
Speaker 4: what we've seen beer out in our studies and what
Speaker 4: we've seen. We've seen another woman who she lives in
Speaker 4: government housing in Florida and she would always go to
Speaker 4: her landlord because she had these respiratory illnesses and the
Speaker 4: landlord will push her aside and said, no, nothing is wrong.
Speaker 4: You're trying to evade pain your rent. And she's like, no,
Speaker 4: there's something wrong with you. You need to change something.
Speaker 4: And she was part of our study and we have
Speaker 4: as part of our remote health monitoring solution and air
Speaker 4: quality device and she was able to use that to
Speaker 4: show to her landlord that there is something significantly wrong
Speaker 4: in terms of mold. And so look at this. Many
Speaker 4: of us live in environments that we just trust that
Speaker 4: it has the right environment, it has everything, even if
Speaker 4: you have healthcare. And what we want to be able
Speaker 4: to do is to put a wearable on the environment,
Speaker 4: put a wearable on individuals, and it is facilitated through
Speaker 4: technology so that we can quantify, so that we can
Speaker 4: show and prove so that we can further empower our patients.
Speaker 4: That's just one Examplar is another example as well, and
Speaker 4: another woman who lives in a rural area in Florida
Speaker 4: and went to the physician like most of us, and
Speaker 4: we get all of these print outs on our lab
Speaker 4: work and we don't know what they mean.
Speaker 1: Let's be real and.
Speaker 4: Not to knock on my colleagues, but you will be
Speaker 4: very lucky if someone goes through with you what each
Speaker 4: measurement means. Right, So this is what happened. This woman
Speaker 4: went to her provider and the provider said, I think
Speaker 4: something is up with your heart. Something is up with
Speaker 4: your heart. Now, this is a woman who works two jobs,
Speaker 4: has three kids, so she was like, what should I do? Well,
Speaker 4: you should go ahead and see a cardiologist. Didn't provide
Speaker 4: the necessary handoff at all. And so here is it
Speaker 4: that we dropped the ball as a community that this
Speaker 4: lady just went off and just said, well, I guess
Speaker 4: something is wrong with my heart. You know, we'll see
Speaker 4: I'll go to the er, which is why we have
Speaker 4: so many er visits. And so what she was able
Speaker 4: to do by wearing one of our rings, she called
Speaker 4: us angry. She said, doctor Sashas your device is waking
Speaker 4: me up every ten minutes. I don't want to be
Speaker 4: part of your study anymore. When we looked at our
Speaker 4: command center and we saw what was happening. These lady
Speaker 4: oxygen levels were dropping below eighty percent critical. So what
Speaker 4: we ended up doing we said, you know what, we
Speaker 4: don't care about health care and insurance right now, we
Speaker 4: have a study physician. We connected her and she was
Speaker 4: able to see a cardiologist in no time. She called
Speaker 4: us crying, saying thank you very much because if she
Speaker 4: hadn't gotten that intervention, she probably would have died, and
Speaker 4: she should have left her kids orphans. This is what
Speaker 4: we've seen black and brown families all the time. It's
Speaker 4: not just a healthcare issue. She had healthcare, but are
Speaker 4: we able to connect the dots and we believe through
Speaker 4: technology we can have a physical in ABox to do
Speaker 4: with her.
Speaker 1: I want to come back to Riteah the same question.
Speaker 1: Let's talk about the technology here. Yeah, you gave her
Speaker 1: a ring. Yeah, like a describe this?
Speaker 4: Yeah, I mean yeah, I mean I have the ring here.
Speaker 4: But it's a ring that measures what we call cardiopulmonary
Speaker 4: coupling big terms, here's what it means. Typically, what happens
Speaker 4: is your respiratory system, your lungs operate in conjunction with
Speaker 4: their circuitur system your heart. What ends up happening in
Speaker 4: between that. Physiology is so many things, and that's where
Speaker 4: we believe many of the illnesses that get undetected, that's
Speaker 4: where they surface, and they surface mostly in your sleep,
Speaker 4: so you will never feel those symptoms at all. So
Speaker 4: what we were able to do through the ring measuring
Speaker 4: CARDI pullman Rey coupling, because your watch doesn't do that
Speaker 4: because you watch only measures one or the other. We're
Speaker 4: able to measure the two and we're able to measure
Speaker 4: how the two interact and connect with each other.
Speaker 1: So this ring, is this an off the shelf thing
Speaker 1: or something you.
Speaker 4: We're trying to get it off the shelf, but it's
Speaker 4: more of a medical device. And there I say, it's
Speaker 4: not this any other but it's not as expensive as
Speaker 4: others we've worked with some other proprietary It is not
Speaker 4: as expensive.
Speaker 1: So you wear this ring and then it's connected to what.
Speaker 4: It's connected to a cell phone that we provide, so
Speaker 4: it's tether. So when you fall asleep, you hit start
Speaker 4: and it starts to measure. It can measure if you're
Speaker 4: at risk for sleep apnel. It can measure if you
Speaker 4: have significant oxygen you know, desaturation lowering the levels and.
Speaker 1: That data is coming back.
Speaker 4: Yes, so that data comes back to the command center
Speaker 4: that we are able to see.
Speaker 1: Which is at the University of Mind, which is.
Speaker 4: At Yes in our group at the University of Miami.
Speaker 1: And how many patients do you have on for example.
Speaker 4: Yes, So right now we're piloting this in our research studies.
Speaker 4: So we have fifteen hundred participants African American and Hispanics
Speaker 4: in urban and rural areas. And we've partnered with community
Speaker 4: health centers, federally qualified health centers. Oftentimes academic centers are
Speaker 4: the ones who are the ones who wave the flag
Speaker 4: of technology. What we said at the University of Miami
Speaker 4: is that we have to do more. That it is
Speaker 4: our vocation and it is our mission to really be
Speaker 4: that you know, supporting force. So we work with the
Speaker 4: largest free clinic in the state of Florida.
Speaker 1: We'll be right back with more from the panel. We're
Speaker 1: back with more Cattaba, Doctor as Easy, Satious and Ryan Lydd.
Speaker 1: So walk us through how you use technology to answer
Speaker 1: those questions.
Speaker 3: I think that the place that we start, and as
Speaker 3: some of us in technology, because myself, you know, probably
Speaker 3: more of a technologist, it's to start with the person
Speaker 3: first right to observe, to understand, and then augment. But
Speaker 3: ideally we always say compliment, not complicate. Right, So if
Speaker 3: there's something that's already available, if there are tools that
Speaker 3: are already there, can we listen to those tools so
Speaker 3: that it can feel, seemed like to the first responder.
Speaker 3: The last thing we want them to do is be
Speaker 3: playing with new tech and buttons and other things to
Speaker 3: make their jobs even more complex. So we sought to
Speaker 3: make a more integrative solution, which therefore you know, five
Speaker 3: G and software and these sorts of things start to
Speaker 3: you know, form because it makes sense to do. We've
Speaker 3: thought a lot about bioindicators, like doctors talking about cardiac
Speaker 3: arrest is still one of the greatest killers in the
Speaker 3: fire service. Detecting blood oxygen levels would be amazing because
Speaker 3: if we could capture those things as a precursor, we
Speaker 3: could draw those individuals out before it's too late. The
Speaker 3: hard part is is the stressor it's such a high
Speaker 3: stress environment that we need the technology to get to
Speaker 3: a point where it can actually give us that accuracy
Speaker 3: when we need it and not tell us after the
Speaker 3: cardiac rent has already happened. Oh you know this person's
Speaker 3: about to have one. So for us we look at
Speaker 3: interfacing with other technology. But inevitably what got interesting is
Speaker 3: phones had a role to play, right and in a
Speaker 3: couple of different ways, one of which is the compute.
Speaker 3: All the things that phones can do for all of
Speaker 3: us in our daily lives, those are great assets and
Speaker 3: tools for the fire service. Right now, they literally have
Speaker 3: that radio I explained before, and rarely much else. So
Speaker 3: an example. I again, we're human centric, so we stay
Speaker 3: with people, we embed in fire stations. And I was
Speaker 3: following a fire chief and the alarms went off, and
Speaker 3: we went off to an emergency event, and I watched
Speaker 3: him as he pulled out two radios, turned each one
Speaker 3: to a different channel, placed them against his ears, and
Speaker 3: looked up at the event and proceeded to manage it.
Speaker 3: Manage it, in other words, keep it safe, you know,
Speaker 3: mitigate the emergency. Thankfully, everything was all clear, nobody got hurt.
Speaker 3: We went back to the station and I asked him, hey, Chief,
Speaker 3: have you taught yourself over the years to listen to
Speaker 3: two conversations at the same time? And he's like nah,
Speaker 3: He's like, the intensity draws my attention, so he listens
Speaker 3: for the intensity of the voice to say this might
Speaker 3: be something it's time for me to listen.
Speaker 1: Oh, and that's so fascinating.
Speaker 3: Yeah, And the thought process was coming home, driving back
Speaker 3: to our headquarters in Buffalo is a bit of a drive.
Speaker 3: I thought, computers don't have yours, Right, What about the
Speaker 3: idea of opening up a phone and allowing the phone
Speaker 3: to listen to as many conversations as maybe happening at
Speaker 3: any given time, and maybe take tay a little further.
Speaker 3: Instead of just listening for intensity, we can actually listen
Speaker 3: to that conversation and interpret it. And that was literally
Speaker 3: the dawn of us starting to use AI. And you know,
Speaker 3: when we think about other tools, what other tools do
Speaker 3: we have that can fundamentally bring that?
Speaker 1: So, just so I understand, we're at a complex fire scene.
Speaker 1: We have multiple firefighters, multiple people talking on radios. The
Speaker 1: guy in charge has got to make sense, has to
Speaker 1: coordinate all things going on. And you're saying, we could
Speaker 1: have AI listen to all of those conversations simultaneously and
Speaker 1: do what exactly prioritize them, summarize them. How does the
Speaker 1: AI interface with the human decision? Yeah?
Speaker 3: So the nice part is you can teach it for
Speaker 3: what you want to listen for. So a lot of
Speaker 3: times there are operative words of concern that are communicated.
Speaker 3: They want to know when certain indicators happen. But let's
Speaker 3: be honest, the real thing that most people are looking
Speaker 3: for is when the firefighter is under duress, when the
Speaker 3: firefighters at risk of a loss of life, so mayda
Speaker 3: and these types of situations are pretty consistent. So the
Speaker 3: way we think about it is we take the communication
Speaker 3: standard operating procedure. How do people communicate officially through these
Speaker 3: radio systems? When do we know it's bad? Let's teach
Speaker 3: the AI to listen for that, and then that way
Speaker 3: we rise to the top. In a we have a
Speaker 3: software interface, of course, and the chief will see someone
Speaker 3: just said something that is of concern. They turn red,
Speaker 3: they glow, We show them where they're located, and then
Speaker 3: the chief can take it from there.
Speaker 1: So the chief's looking at his phone or is he.
Speaker 3: So the chief is actually looking at a tablet. A
Speaker 3: tablet just because you want a little bit more surface
Speaker 3: area to kind of be able to.
Speaker 1: In real time. The tablet is ranking everybody and prioritizing
Speaker 1: the person who is in most distress or under the
Speaker 1: most stress.
Speaker 3: Yes, and then the other nice part with the phone,
Speaker 3: because of the amount of data that's available, we can
Speaker 3: localize people in three dimensional space, so we can actually
Speaker 3: show where they exist in the world, but inside even
Speaker 3: a given structure and with height considered. So that's where
Speaker 3: we fuse these things together. So we use some of
Speaker 3: the capabilities inside the phone, all the sensors, all the networks,
Speaker 3: and we can say, hey, this person's up here. Oh,
Speaker 3: by the way, through the AI, they said something that
Speaker 3: you need to know about, So now we can really
Speaker 3: localize this is where that person exists, and then from
Speaker 3: there they can decide what they want to do.
Speaker 1: Then well, I'm listening to these two Ryan and as
Speaker 1: Easy and I'm seeing so here are people in very
Speaker 1: specific corners of the world taking these technologies and making
Speaker 1: doing very very practical things with it. I'm curious how
Speaker 1: does T mobile interact in this Are you? Are you
Speaker 1: a cheerleader? Are you an instigator? Are you? Are you
Speaker 1: the person who helps them? There must obstacles. I mean,
Speaker 1: you're changing the way people do business, and I'm curious
Speaker 1: this team will play a role in kind of how
Speaker 1: would you characterize what.
Speaker 2: You yes your partnership at the end of the day.
Speaker 2: What we love to do is to visit with business
Speaker 2: customers on what's your challenge, like, what is the heart
Speaker 2: of what you're trying to accomplish with your solution, your product,
Speaker 2: your service, and how can we build capabilities in and
Speaker 2: around our network that really support that. So as an example,
Speaker 2: and I can touch on both of the use cases
Speaker 2: that have come up in the last few minutes, but
Speaker 2: talking about Ryan in three AM for just a moment,
Speaker 2: I love the conversation really oriented around Hey, as you
Speaker 2: think about your platform and the situational awareness that you're
Speaker 2: trying to give the chief wherever's doing command and control
Speaker 2: of that specific situation. How can we leverage both devices
Speaker 2: where whether it's wearables that give you insights if a
Speaker 2: person can't even talk, perhaps smoke inhalation and they've fallen
Speaker 2: and okay, now I need to know, hey, they're not moving,
Speaker 2: how's that information coming back? Using the devices for things
Speaker 2: like both near field communications and barometric pressure, which has
Speaker 2: been in the phones for six seven years. Again at
Speaker 2: this point that lets you know, hey, not only the
Speaker 2: X and Y axis of where they are, but how
Speaker 2: many floors up on a building are they which is
Speaker 2: incredibly important for firefighters. And then over time we're also
Speaker 2: going to be enabling API access into the network. We've
Speaker 2: announced this, it's coming out in the near future, which
Speaker 2: will allow the three AM platform to enhance all of
Speaker 2: the capabilities they already have around things like even more
Speaker 2: precise location, quality of service. Hey, I'm in the building,
Speaker 2: it's burning. I need to dial up the network resources
Speaker 2: to support everything that's happening there. It's the number one thing.
Speaker 1: What DOESPI mean by the way?
Speaker 3: Application programming interface?
Speaker 2: Thank you very much. It's basically, in plain English, a
Speaker 2: way of building a door so that someone else's platform
Speaker 2: can come knock on the door, the door is opened,
Speaker 2: and we give them very specific capabilities on things that
Speaker 2: they can do with network resourcing in real time quality
Speaker 2: of service, location, application support.
Speaker 1: So you make that we have this complicated thing situation
Speaker 1: happening and at various moments we want to use as
Speaker 1: many resources as possible to answer very specific and problems,
Speaker 1: and you're divert you're making sure the necessary network resources
Speaker 1: go to the right place at the right time.
Speaker 2: Exactly all of these at at the heart of it's
Speaker 2: setting aside, the technology is ways of suring that you're
Speaker 2: diverting or allocating the right amount of resources to a
Speaker 2: given use case so that the first responder or the doctor,
Speaker 2: or the mobile network that's enabling you know, this clinical
Speaker 2: health that scale, no matter where you happen to be
Speaker 2: in America is available for them to be able to
Speaker 2: do that thing.
Speaker 1: I read this study recently, a couple weeks ago, maybe
Speaker 1: no lesson it, so you may have seen it. It
Speaker 1: was some study talking about an AI diagnostic tool for doctors.
Speaker 1: Did you guys see this? And it's like, Arm number
Speaker 1: one was the doctor all by himself does a diagnosis
Speaker 1: and they're like seventy two percent, right. Arm number two
Speaker 1: is doctor plus AI and it was seventy seven. Arm
Speaker 1: number three was AI alone and it was ninety two.
Speaker 1: And the conclusion study was, we gave doctors these tools
Speaker 1: and most of the time they didn't want to use them.
Speaker 1: So I'm curious about that problem in your worlds, when
Speaker 1: do you get pushed back? Are you sure that you've
Speaker 1: given a marvelous suite of tools to people out in
Speaker 1: these fields? Do they use them? Is there a roadblock there?
Speaker 4: I can comment on that. So I know that study
Speaker 4: very well because there are some of my colleagues who
Speaker 4: did that work really so so here here's in terms
Speaker 4: of pushback, definitely, and I think what in healthcare one
Speaker 4: of the things that we get pushed back around is
Speaker 4: our own data privacy security. That is huge, particularly for
Speaker 4: information technology departments. But what we have done, because we
Speaker 4: know that that there is going to be some this
Speaker 4: is disruptive technology and we have to be able to
Speaker 4: better socialize it, we have led an entire year of
Speaker 4: what we call innovation retreats at the University of Miami
Speaker 4: so that we can give it to them in bite
Speaker 4: size format, so that they understand that it's not just
Speaker 4: focused on the technology, but how is it that we
Speaker 4: can actually help to solve what they're doing. And so
Speaker 4: when we.
Speaker 1: Broadishday that you're talking about clinicians.
Speaker 4: Clinicians and not just clinicians, because I think when you're
Speaker 4: talking about healthcare, let me just kind of deconstruct behind
Speaker 4: that provider, you have administrative staff, billing, you know, scheduling
Speaker 4: all of those people who are critical to ensure the operations,
Speaker 4: and particularly some of those operations are very mundane and
Speaker 4: very time consuming, and it collects a lot of data
Speaker 4: and therefore, as a result, it can lead to a
Speaker 4: tremendous amount of error. So what we're trying to do
Speaker 4: and what we did, was to lead this digital innovation transformation,
Speaker 4: set off retreats, focusing on the problem, trying to understand
Speaker 4: what their pain points are, and then have the technology
Speaker 4: come second, or have the technology come last.
Speaker 1: Give me an example of what someone's pain point might be.
Speaker 1: What's what's an objection you?
Speaker 4: Yeah, So, for example, digital literacy, some provide us unfortunately
Speaker 4: are stuck in their ways. They believe that they want
Speaker 4: to feel and touch the patient as they should, and
Speaker 4: we're not saying what we're proposing is we're we're not
Speaker 4: saying that they shouldn't do that. But I think some
Speaker 4: of them have a form of technophobia as well. And
Speaker 4: by digital literacy, I'm talking you know, they may feel
Speaker 4: as if they don't know or they may not be
Speaker 4: as fascile in working some of the technology. So we
Speaker 4: really peer it down, you know, for them, and I
Speaker 4: think some of the technology I think some pushback as well.
Speaker 4: I think many people, especially in the community that we serve,
Speaker 4: many people believe, and it's an important issue, that access
Speaker 4: is a huge issue for their patients. So they may say, well,
Speaker 4: my patient doesn't have a cell phone, and I'm like,
Speaker 4: we push back and said, actually, the Pew says ninety
Speaker 4: two percent of the US population, particularly low income folks,
Speaker 4: actually have a smartphone or some form of mobile device. No,
Speaker 4: it's a different thing when we're talking about do they
Speaker 4: know how to use it? Do they know how to
Speaker 4: optimally use it as well? And this is what we
Speaker 4: do as well. We provide training to patients as well
Speaker 4: as to how to use it as well. So those
Speaker 4: are some of the unique pushbacks. And then obviously data,
Speaker 4: where do my data go? And provide us ask those
Speaker 4: questions as well. And I think this is why having
Speaker 4: very robust secure environments is important time. So similar to
Speaker 4: what we do, especially with the mailbox, we have about
Speaker 4: seven or sold devices that they were not built to
Speaker 4: communicate with each other. So, you know, the API is
Speaker 4: another thing and we call it handshakes, you know. And
Speaker 4: what we try to do is we said we wanted
Speaker 4: to create a remote health monitoring solution that's like the
Speaker 4: Walmart version because typically when you look at remote health
Speaker 4: monitoring solutions are very expensive and quite proprietory. We want
Speaker 4: providers and we want provide us and patients to be
Speaker 4: empowered that can bring your own device, whatever device you have,
Speaker 4: as long as it actually has the necessary API connectivity,
Speaker 4: then we'll be able to collect to those data. So
Speaker 4: those are some of the pushbacks that we've experienced.
Speaker 1: Ryan, do you surely this must be I mean, you're
Speaker 1: entering a field that has been fighting virus in the
Speaker 1: same way for a very very long time.
Speaker 4: Yeah.
Speaker 3: Hate the way things are, but hate change probably even more.
Speaker 3: That's they're saying, not mine. I brow. The first place
Speaker 3: that it started was absolutely social media. The biggest fear
Speaker 3: in the Fire Service about even bringing a phone into
Speaker 3: the mix, or let's call it a smart device, is
Speaker 3: the propensity to share this information publicly. But the reality was,
Speaker 3: I reminded them when you go to a supermarket, you
Speaker 3: know the kids that are bringing up your groceries. That's
Speaker 3: a Windows computer, but they're not cruising around on social media.
Speaker 3: We can configure the device to only do the thing
Speaker 3: you wanted to do, so we can take advantage of
Speaker 3: the capability. So that was the first obstacle, and now
Speaker 3: that we deal with AI, the big one is hallucination
Speaker 3: and inaccuracy naturally right, well, great, I like this idea,
Speaker 3: but what happens if it's wrong. And I think, to
Speaker 3: quote a chief that I work with at the Philadelphia
Speaker 3: Fire Department, he actually wrote his thesis on leveraging AI
Speaker 3: in the Philadelphia Fire Department and beyond. And his argument
Speaker 3: was decision support not to make the decisions for you,
Speaker 3: not to ask it, and you shall receive and just
Speaker 3: do what it says, have it, go retrieve the things
Speaker 3: that you need. Right, and so this concept of augmented
Speaker 3: retrieval giving it domain specific knowledge. Here is something about
Speaker 3: what you're dealing with. Let me go find the best
Speaker 3: information and present it to you so that you can
Speaker 3: decide from there. I think those bits are the essential.
Speaker 3: And then lastly, absolutely for all of us as security.
Speaker 3: So the nice part is Microsoft and some of these
Speaker 3: groups have made sort of enterprise contained ais, so we're
Speaker 3: not dispersing this throughout some central knowledge. This is specific
Speaker 3: to the fire department, which in our PERSPECTI it helps
Speaker 3: accuracy to go actually up.
Speaker 1: But when you go out on someone from three am
Speaker 1: goes out on a sales call, you go and visit
Speaker 1: a fire department somewhere and you say, we have this
Speaker 1: whole set of ideas to solve some problems for you,
Speaker 1: you have your conversation with the chief, who you've never
Speaker 1: talked to before. What does the chief say?
Speaker 3: The chief is immediately any single time it has to
Speaker 3: do with safety of their firefighters, they're obviously compelled to listen.
Speaker 3: The hard part, I think really is how much change
Speaker 3: is this going to bring to my organization? In other words,
Speaker 3: how much friction is me implementing this technology going to bring?
Speaker 3: And so one of my proudest moments, which sounds super innocuous,
Speaker 3: we did the fourth of July and it was hundreds
Speaker 3: of people and they all forgot they had the device
Speaker 3: and I was super happy, right because it became invisible.
Speaker 3: And if we can do that, you know, the obstacles
Speaker 3: are sort of overcome. Right, So the idea of automation
Speaker 3: and streamlining all of this contextually, just put the smart
Speaker 3: thing in your pocket, don't worry about anything else. That's
Speaker 3: our fundamental goal, and that's the way that we overcome
Speaker 3: those objections.
Speaker 1: All these innovations have multiple constituencies, right right. I wonder
Speaker 1: if you can sort of appine on this. This must
Speaker 1: be a kind of perennial issue for anyone who's like
Speaker 1: T Mobile, who is driving innovation is to ask yourself,
Speaker 1: who's the customer here?
Speaker 2: Right?
Speaker 1: Do you have these do you face this kind of
Speaker 1: tension between who? Is it important to clarify who we're
Speaker 1: serving with this innovation before you go down the road
Speaker 1: towards pushing the innovation.
Speaker 2: It really goes back to, if you will, selling through curiosity,
Speaker 2: meaning when you're sitting down with the customer, you're trying
Speaker 2: to understand what it is that they're trying to accomplish
Speaker 2: and is it for their employees, is it business to
Speaker 2: business to consumers or is it their end consumer that
Speaker 2: they're trying to solve the problem and then designing the
Speaker 2: solution to meet that meet that need. Going back to
Speaker 2: your AI study example just a few minutes ago, like
Speaker 2: this is what I love about what we're here today
Speaker 2: to celebrate is unconventional thinking, which inherently is what is
Speaker 2: to the left of me here today with you know,
Speaker 2: doctor Azezy and Ryan is individuals that looked at the
Speaker 2: industries in which they were working and thought there is
Speaker 2: a better way. I don't care how our industry has
Speaker 2: done it before, and can I build something that drives
Speaker 2: that outcome?
Speaker 3: I mean with.
Speaker 2: Doctor as easy clinical studies invariably have been at a
Speaker 2: some central location. And what that means is that marginalized groups,
Speaker 2: underserved groups were being underserved. And so the problem statement was, hey,
Speaker 2: can we bring together low cost medical devices, stitch them
Speaker 2: to gather with a connectivity solution which then in real
Speaker 2: time will send that information back one so that we
Speaker 2: can learn more on how to better serve these groups.
Speaker 2: But in the case of the cardiac patient that you
Speaker 2: were talking about a little bit ago, also save lives.
Speaker 2: So that's the heart of it for me is I love, love,
Speaker 2: love visiting with businesses that are thinking unconventionally innovatively, and
Speaker 2: then how can we build something with them to drive
Speaker 2: the outcome, which may be the business or in this
Speaker 2: case is the end person that's part of the clinical trial.
Speaker 1: Two to ask questions. We're sadly running a time, but
Speaker 1: two ask questions for both of you. I'm curious about
Speaker 1: how you measure success. So you ran, you've given this
Speaker 1: marvelous tool to people in very high stressed situations, and
Speaker 1: intuitively we would say you've made you made their the
Speaker 1: job of the of fighting the fire better easier. But
Speaker 1: how do you know how do you know that's true? A?
Speaker 1: And how do you know how much you've improved. I mean,
Speaker 1: do you actively go out and collect data or feedback
Speaker 1: or something from the field to understand that the magnitude
Speaker 1: of the impact you're having.
Speaker 3: It's a great question, and I get really fired up
Speaker 3: because competitors or people in the space throw vanity metrics
Speaker 3: around and they try to tell first responders this is
Speaker 3: how much time and how many lives they're going to save,
Speaker 3: and that's a ridiculous concept. It's all relative, right, So
Speaker 3: to your question, you know, for example, I was at
Speaker 3: a major event. It was actually a marathon, so there
Speaker 3: are a lot of medical issues people that go into
Speaker 3: cardiac arrest and over exhaustion, and there were code blues,
Speaker 3: which means this person is critical. If we don't get
Speaker 3: to the hospital immediately, they will likely die. And immediately
Speaker 3: they go the tool And to your question, is you
Speaker 3: brought up earlier about screens and distraction. We are infinitely
Speaker 3: obsessed with that. The reason why I think automation and
Speaker 3: AI is interesting is because it can be in the
Speaker 3: background and there when you need it. That's how we
Speaker 3: view it.
Speaker 1: So what is instance the tool selling is putting the
Speaker 1: code blues at the top.
Speaker 3: Well, so they're putting it up, code blue gets called in.
Speaker 3: They immediately look at their people on the map, and
Speaker 3: typically they would have emergency resources that are assigned to
Speaker 3: specific areas for an event, and you would just say, okay,
Speaker 3: send you know, ISP two, that's where they're going to go.
Speaker 3: But instead they're all the way three blocks down, and
Speaker 3: now that you've made that assignment, it's going to take
Speaker 3: them three blocks to get to the patient. By the
Speaker 3: time you get there, oxygen's been denied from the brain
Speaker 3: for too long and we've lost the patient, right, So
Speaker 3: instead they say no, no, no, no, ISP three, you turn around.
Speaker 3: I literally watched them and they coach them back and
Speaker 3: that incident command to look to me goes. Your tool
Speaker 3: has been instrumental today. So those are those moments where
Speaker 3: we saved a life.
Speaker 1: Precision, the precision with which you can you can allocate
Speaker 1: resources to the problem is greater here, right, yeah.
Speaker 3: So in those moments, those are those things that that
Speaker 3: sort of matter, right And to your question though, on
Speaker 3: how do we, you know, sort of bring it back
Speaker 3: to people to show them the impact it's driving Again,
Speaker 3: I think usage creates value. The more you use it,
Speaker 3: the more it's valuable to you. Why because we actually
Speaker 3: document all data for all events forever. And then what
Speaker 3: you can do is you can scrub through it and
Speaker 3: go back in time from years ago and say what
Speaker 3: happened at exactly the three minute mark on this particular event.
Speaker 3: You can pose it almost like the matrix and spin
Speaker 3: it around and look at it, look at all the
Speaker 3: information that was presented, and that becomes mission critical for
Speaker 3: evolving your best practices, you know, things of that.
Speaker 1: Back it becomes a learning tool. Then. Yes, in addition
Speaker 1: to real to its real time importance, it has a
Speaker 1: kind of retrospective importance that you can leverage that data
Speaker 1: to kind of figure out how to do a better job.
Speaker 3: The big piece that I think will triage into a
Speaker 3: ZAS is that our greatest goal here is a safe
Speaker 3: first responder. Is a safe society is or safe communities.
Speaker 3: If we keep them safe, the rest of us are
Speaker 3: in a much better position. The sad part is the
Speaker 3: average life expectancy of a firefighter sixty one years of age.
Speaker 3: Cardiac arrest being a big driver. Cancer is really crawling
Speaker 3: up there though, and we have all other terminal diseases
Speaker 3: that come later in life, right, So our goal is
Speaker 3: over time throughout your career because we capture all of
Speaker 3: this data, and because we could cross reference with medical
Speaker 3: professionals exactly as a diseas he's talking about, Hey, you've
Speaker 3: spent one thousand hours in that facility that has now
Speaker 3: been discovered to contain carcinogens. Now the medical practitioner can
Speaker 3: do things on a preventative care standpoint so that we
Speaker 3: can get ahead of that and make sure that firefighters
Speaker 3: live along in healthy life. So to me, that is
Speaker 3: that ultimate goal.
Speaker 1: It's easy. I'm almost more interested in you responding to
Speaker 1: what Moe was saying about decentralization and why that's I
Speaker 1: think that's actually a lovely place to to end this conversation,
Speaker 1: because it does strike me, as I've listened to both
Speaker 1: of you that there is something, there is a real
Speaker 1: revolution here in the way data is being collected and
Speaker 1: used and how we're learning from it. But the decentralization
Speaker 1: piece has a kind of social and almost political importance, right,
Speaker 1: It's like it's something high So talk a little bit.
Speaker 1: This is what you've managed to do to You've now
Speaker 1: decentralized the collection of medical information from people and the
Speaker 1: conduct of studies. What does that mean for fairness and society,
Speaker 1: for the quality of the data we're collecting, for the
Speaker 1: way people perceive the medical care system. It's a big deal.
Speaker 4: It's huge. That's a great question, thanks for asking. We
Speaker 4: believe that most of healthcare occurs outside of the brick
Speaker 4: on more to healthcare, and what would often happen is
Speaker 4: that we would get these findings that are artifacts. So
Speaker 4: for example, if you go to you know, your provide
Speaker 4: and your blood pressure is high, are you considered hypertensive
Speaker 4: or is it just artifactual? Right because of the fact
Speaker 4: that you know, people are stressful and the like. What
Speaker 4: we're thinking, what we know we're doing is that we
Speaker 4: are actually connecting the dots in between visits what we
Speaker 4: call real world data. We want to study the human
Speaker 4: being in the wild, not in some kind of artificial setting,
Speaker 4: and that allows us to be more fair, but it
Speaker 4: also allows us to be far reaching as well. Why
Speaker 4: one of the things that I hadn't shared and I'll
Speaker 4: share this know is that at the end of this
Speaker 4: we're going to be creating digital twins of each person.
Speaker 4: What does that mean? We can know exactly what someone's
Speaker 4: biological algorithm is based on sensing data as well as
Speaker 4: blood work that we are collecting. What does this mean.
Speaker 4: It means that we can anticipate what comes next or
Speaker 4: even before it happens. But from a fearness standpoint, this
Speaker 4: allows us to really get into all crevices, all the areas,
Speaker 4: all underserved communities that were left by the wayside. So
Speaker 4: for us metrics or success, I've never led us study
Speaker 4: where the recruitment has been so great. And this is
Speaker 4: the this is why, you know, one of the biggest
Speaker 4: journal science learned about what we were doing and wanted
Speaker 4: us to document that because typically when people innovate, the
Speaker 4: innovate for the haves and have mores. We fundamentally believe
Speaker 4: that if we innovate for the have nots, that it
Speaker 4: will allow us to scale much better and it will
Speaker 4: have far more rich and more applicability. So from an
Speaker 4: ethics and an equitable standpoint, so that's why we dubbed
Speaker 4: what we call health tequity. Right, We've been talking about
Speaker 4: this with the American Art Association. It's a real deal
Speaker 4: though that we believe that at the intersection, at the
Speaker 4: nexus of equity and technology, that we could exacerbate health
Speaker 4: care issues or it could be cure. We could mend it,
Speaker 4: and we're saying that we want to be the ones
Speaker 4: and so for us, here's what we're doing already. We're
Speaker 4: screening people for Alzheimer's disease much earlier using augmented reality
Speaker 4: where we can determine if someone is going to get
Speaker 4: Alzheimer's disease six to ten years before age of onset.
Speaker 4: We're providing virtual reality solutions to black on brought black
Speaker 4: on Brown moms who have notoriously been known to have
Speaker 4: a huge epidemic in maternal mental health. At Maternal Health,
Speaker 4: we're providing that to a slew of folks. We're reaching
Speaker 4: out and providing it to over three thousand kids in
Speaker 4: the state of Florida because sixty eight percent of families
Speaker 4: don't live near a licensed mental health practitioner. And we're
Speaker 4: also building the next generation of technologies and healthcare provide
Speaker 4: us so that we know can have a provider, we
Speaker 4: can listen because typically when you go to your provider,
Speaker 4: what are they doing. They're writing notes and there's no
Speaker 4: eye contact.
Speaker 1: No.
Speaker 4: We can use AI and ambient technology to capture all
Speaker 4: of those data so that your provider can be with
Speaker 4: you more in a more human human way, and that's
Speaker 4: what it will allow us to do.
Speaker 1: So that's how we.
Speaker 4: Measure metrics of success, and I think that's where the
Speaker 4: ethics lies as well, restoring the humanity in medicine. Oftentimes
Speaker 4: people think that when you use technology that it actually
Speaker 4: effaces the human. What we're trying to do is that
Speaker 4: we believe that technology can allow us to make healthcare
Speaker 4: more human again, restoring the soul and reclaiming the soul
Speaker 4: of healthcare through technology.
Speaker 1: That's our thesis. Yeah, that's really beautiful.
Speaker 3: Thanks.
Speaker 1: I will say just one last note. The whole time
Speaker 1: you guys were talking, I was having these kinds of
Speaker 1: absurd fantasies about how I, as I am a parent
Speaker 1: of two girls, how I could use both of your
Speaker 1: technologies to uh helicopter parent. I give them a wearable,
Speaker 1: they would monitor everything. I'd be listening to all their conversations.
Speaker 1: And I just walk around with Ryan with one of
Speaker 1: your with one of your tablets, and every they were
Speaker 1: just like highlight if there's ever any kind of problem.
Speaker 1: But this has been absolutely fascinating. I don't I feel
Speaker 1: we could have gone on and on and on for
Speaker 1: another hour. But I think what you've done is just
Speaker 1: given us a little glimpse into how human ingenuity is
Speaker 1: using technology in utterly unexpected ways. And I think that's
Speaker 1: it's a it's it's a beautiful story that needs to
Speaker 1: be told, and I'm glad we're telling it. Thank you,
Speaker 1: thank you, thank you, thank you. Thanks for listening to
Speaker 1: this special episode brought to you by T Mobile for Business.
Speaker 1: Special thanks to our guests Mokattaba, T Mobile for Businesses
Speaker 1: Chief Marketing Officer, Ryan Litt, chief operating Officer and co
Speaker 1: founder three A M Innovations, and doctor Azizi Satius, Chair
Speaker 1: of the Department of Informatics and Health Data Science at
Speaker 1: the University of Miami School of Medicine. And special thanks
Speaker 1: to the entire production crew at iHeartMedia. This episode was
Speaker 1: produced by Nina Bird Lawrence with Lucy Sullivan and Ben
Speaker 1: nadafh Haffrey. Editing by Karen Schakerji mastering by Sarah Buguer.
Speaker 1: Special thanks to Lou Carloso for on site recording. Our
Speaker 1: executive producer is Jacob Smith. I'm Malcolm Lappa eight