Speaker 1: Welcome to Lake Nona, a beautiful residential and commercial oasis
Speaker 1: where the future has arrived. Lake Nona is a seventeen
Speaker 1: square mile community in Orlando, Florida that has established new
Speaker 1: standards of living that integrate the latest technology into every
Speaker 1: facet of life, including, but not limited to the way
Speaker 1: its citizens get around. Picture this. A person stands in
Speaker 1: the warm Florida sun at a designated bus stop, waiting
Speaker 1: for the next shuttle to arrive. And here it comes,
Speaker 1: not with the roar of an engine, but with the
Speaker 1: gentle hum of an energy efficient electric mona. The busk
Speaker 1: glides to a halt, and as the doors open, something
Speaker 1: is missing. There's no one in the driver's seat. That's
Speaker 1: because Lake Nona is home to one of the country's
Speaker 1: largest and longest running single site autonomous vehicle fleets. These
Speaker 1: energy efficient, self driving buses have transformed the way residents
Speaker 1: travel in this community, safe and easily accessible. They whisk
Speaker 1: people from place to place, freeing hands, reducing traffic congestion,
Speaker 1: and embracing a sustainable future. What else can a world
Speaker 1: of autonomous public transportation do? How else may impact the
Speaker 1: way a community operates in this bright and sunny corner
Speaker 1: of the world. The horizon is limitless and our journey
Speaker 1: is full of possibilities. Hey there, I'm Grain Class and
Speaker 1: this is technically speaking, an Intel podcast. The show is
Speaker 1: dedicated to highlighting technology is revolutionizing the way we live,
Speaker 1: work and move. In every episode, we'll connect with innovators
Speaker 1: in areas like artificial intelligence to better understand the human
Speaker 1: centered technology they've developed. Thus far, we've explored how AI
Speaker 1: impacts society in the ways of agriculture, accessibility, and mental health.
Speaker 1: But one of the ways technology and especially artificial intelligence
Speaker 1: impact society is through its structures. AI is advancing the
Speaker 1: ways cities are able to serve their citizens. There's a
Speaker 1: very interesting example of this happening in a small town
Speaker 1: in the United States. But before we go any further,
Speaker 1: I need to introduce my guests. Joining me now is
Speaker 1: Joey Morow, the CEO of Beep, which is a company
Speaker 1: that offers autonomous mobility solutions in public and private communities
Speaker 1: across the US. His career has spanned the technology arena,
Speaker 1: from hardware and software to IT services. He has spearheaded
Speaker 1: groundbreaking enterprise projects in cutting edge startups to multi billion
Speaker 1: dollar enterprises, Joe's expertise in innovation, strategy and transformative technologies
Speaker 1: paved the way for his role at BEEP, where he
Speaker 1: now leads a new team transforming mobility as we know it.
Speaker 1: We are so excited to have you on, Joe.
Speaker 2: Thank you, Graham, glad to be here.
Speaker 1: Also joining us as Juan Santos, the senior vice president
Speaker 1: of Brand, Experience and Innovation at Tavistop Route. At Tavistop,
Speaker 1: he's part of a multi disciplinary team that uses design
Speaker 1: thinking to build places where people can thrive. One is
Speaker 1: a recognized expert in design thinking, user generated content, virtual
Speaker 1: worlds physical and digital, and loyalty and rewards. Welcome to
Speaker 1: the chop one.
Speaker 3: Thank you very much.
Speaker 2: Green.
Speaker 1: I'll start with you, Joe. Can you just tell us
Speaker 1: a little bit more about Beep and in particular your
Speaker 1: personal story around why you decided to get involved with
Speaker 1: the company.
Speaker 2: Yeah, I'm happy to Graham, and thanks again for having us.
Speaker 2: So Deep was founded on the premise that autonomous mobility
Speaker 2: is going to be proven out in I'll see incremental
Speaker 2: use cases. I know everybody has had different experiences and
Speaker 2: or has read a little bit about what driving and
Speaker 2: mobility is about. You know I would tell you if
Speaker 2: you think of the technologies and the world work that
Speaker 2: we're doing, it's very focused on shorthaul first mile last
Speaker 2: mile type use cases in public and private communities, solving
Speaker 2: for that micro transit gap across many areas of our country.
Speaker 2: Second is very important that it's a shared platform, so
Speaker 2: we focus on more controlled speed GEO fenced use cases,
Speaker 2: but in a shared mobility form factor, meaning a shuttle
Speaker 2: that seats a ten to twelve passengers and really represents
Speaker 2: that ability to provide a good balance of yes, personal mobility,
Speaker 2: but also community mobility. So the business was founded by
Speaker 2: a group of us that are also investors in the company.
Speaker 2: We've been entrepreneurs across a couple of funds, so we're
Speaker 2: venture capitalists as well as operators. And again, as we
Speaker 2: looked at this key inflection point in the area of
Speaker 2: technology specific to autonomy, made a very calculated approach to
Speaker 2: focusing on this micro segment of the larger market of
Speaker 2: autonomy around this electric shared autonomous mobility in these micro
Speaker 2: transit use cases.
Speaker 1: BEEP is a turnkey mobility solution with the goal of
Speaker 1: providing stress free transportation, reducing carbon emissions, and improving road safety,
Speaker 1: offering autonomous transportation to thousands of people. Beep's technology focuses
Speaker 1: on community and offers localized travel solutions that reflect the
Speaker 1: way people want to engage with their neighborhood. Are these
Speaker 1: vehicles going to be driver lists or driver assisted? How
Speaker 1: is that currently being played out?
Speaker 2: Yeah, it's a great question. We work in partnership with
Speaker 2: the US Department of Transportation, who oversees the use of
Speaker 2: these vehicles on our roadways today. So the vehicles are
Speaker 2: operating in a very high percentage fully autonomous, but we
Speaker 2: do have safety attendants or ambassadors on board whose responsibility
Speaker 2: is to both educate welcome passengers and introduce them to
Speaker 2: the technology, help them feel comfortable with these types of services,
Speaker 2: but also to take over manual control should that be
Speaker 2: needed if there's an event on the roadway that requires
Speaker 2: some level of intervention. Fast forward a couple of short
Speaker 2: years and those attendants are going to be virtual or remote.
Speaker 2: So we will in our types of services always have
Speaker 2: a human in the loop. It will shift from being
Speaker 2: an onboard attendant to a virtual attendant. And you can
Speaker 2: only imagine, especially in the area of public transportation, if
Speaker 2: there is some circumstance, be that a traffic jam or
Speaker 2: a pothole on a roadway or some other eventuality. You
Speaker 2: still have to be able to communicate with passengers on
Speaker 2: board if there's a reason to pull a vehicle off
Speaker 2: the side of the road, let people know what's going
Speaker 2: on and what to do about it.
Speaker 1: Okay, great, I'll bring one into that discussion. Now, could
Speaker 1: you just tell us a little bit about your work
Speaker 1: at Taviasop Group.
Speaker 3: So I lead innovation and a brand experience in what
Speaker 3: most people would traditionally think of as a development company. However,
Speaker 3: Tavistak Development, which is the area that I focus mostly in,
Speaker 3: is not your traditional developer. We are actually an owner operator,
Speaker 3: and in the case of BEEP, we have a place
Speaker 3: called Lakenona where directly contiguous to the Orlando Airport. We're
Speaker 3: proud citizens of the city of Orlando, but we represent
Speaker 3: an advanced district in the city, and it's a fairly
Speaker 3: large advanced district. We're approximately seventeen square miles to give
Speaker 3: you a point of comparison, Manhattan's twenty two, so it's
Speaker 3: a fairly large swath of land. And then we have
Speaker 3: pretty much every use case inside like no. I mean,
Speaker 3: we have universities, high schools, people can go to preschool,
Speaker 3: there's micro apartments, there's large homes, so it comes this
Speaker 3: really interesting place for people to live, but also for
Speaker 3: companies that are on the forefront of technology to use
Speaker 3: us a living lab. The reason BEEP is a critical
Speaker 3: partner for Lignona is because we believe mobility is one
Speaker 3: of those things that create a lot of friction inside
Speaker 3: a community. Right you come to a place and parking
Speaker 3: is difficult, moving from one place to the other. That's
Speaker 3: really kind of like they're not so enjoyable, not so
Speaker 3: great parts of being in communities that are successful. In Lignona,
Speaker 3: we've tackled that friction with immobility by a variety of things,
Speaker 3: but we've also incorporated BEEP under autonomou shuttle operation as
Speaker 3: a critical part to provide that first and last mile
Speaker 3: mile and a half inside the community for people to traverse.
Speaker 3: And it's something that has been running now for multiple years.
Speaker 3: We have what I believe today is the largest and
Speaker 3: longest running autonomous shuttle operation in the United States in Leagnona.
Speaker 3: It's actually is so prevalent now that we're coming close
Speaker 3: to the end of the year where we had a kid,
Speaker 3: you know, last Halloween actually dressed up as one of
Speaker 3: the autonomous shuttles. So it's something that's both an incredible
Speaker 3: service that reliefs striction, but it's become a natural part
Speaker 3: of the ecosystem that people live with and live in
Speaker 3: in Lakedana.
Speaker 1: Yeah, I'm interested in how that autonomous shuttle bus started
Speaker 1: and was there any I guess pushback or were any
Speaker 1: challenges with the community to try and get this sort
Speaker 1: of thing deployed.
Speaker 3: Actually, it was incredibly well received. It started in a
Speaker 3: conversation with the founders of Beep. We were actually having
Speaker 3: a conversation about a different topic and the topic of
Speaker 3: autonomous mobility came up. And after that conversation, fast forward
Speaker 3: eleven months and the company had been created, the vehicles
Speaker 3: have been brought into the US. We've worked with Department
Speaker 3: of Transportation and NITSA to make it happen, and from
Speaker 3: a community perspective, we actually did an outreach process where
Speaker 3: we actually allowed critical members of the community to be
Speaker 3: a part of understanding what the vehicles would do. For example,
Speaker 3: we had a specific day where the beeps were on
Speaker 3: preview just for first responders, so We showed our police
Speaker 3: department and the fire department how to work with the vehicles,
Speaker 3: how to operate them, how to move them if necessary,
Speaker 3: and when the vehicles rolled for the first time, we
Speaker 3: had a community that was ready, so we didn't have
Speaker 3: much pushback. Now we had people have to adapt to
Speaker 3: having a vehicle with no driver, right because even though
Speaker 3: there's a safety attendant on board, the vehicles operating on
Speaker 3: its own, and it operates differently than a humanly controlled vehicle.
Speaker 3: So we had some situations where people were like learning
Speaker 3: to interact with them. But for the most part, it
Speaker 3: was very well received. One of the hallmarks of known
Speaker 3: as a community is that our citizens, they think of
Speaker 3: them sells almost like citizen scientists. They're almost asking us
Speaker 3: what's new every week. It's like what's the new thing
Speaker 3: to try. They've come to expect strange things to happen,
Speaker 3: you know, in the roads and other places in Lignona.
Speaker 3: So I think it was significantly better received because of
Speaker 3: the education that we did, because the first responders were
Speaker 3: on board, because we gave community previews, so it was
Speaker 3: not like suddenly, you know, self driving car shows up
Speaker 3: in the middle of the community.
Speaker 1: Right, Okay, and in terms of I mean we've talked
Speaker 1: about the autonomous side of things and the AI. Are
Speaker 1: there any other AI techniques or technology that has been
Speaker 1: used for general community planning and development? Are there any
Speaker 1: other tools out there that is currently being used?
Speaker 3: So from a legnano perspective, it's pretty significant. We actually
Speaker 3: have a very detailed data overlay that actually shows us
Speaker 3: how the city is behaving. Everything is private, so there
Speaker 3: is no personal identifiable information being collected, but we collect
Speaker 3: a wide variety of behaviors. I know, you know how
Speaker 3: long people wait for an uver, I know the specific
Speaker 3: state of parking garages. Every spot is instrumental, so we
Speaker 3: know if there's a weight for them. We know how
Speaker 3: the beaps are flowing inside the community, and that is
Speaker 3: fed into a large data environment where we actually use
Speaker 3: AI driven tools to both predict and model the behavior
Speaker 3: of the environment. We've done presophisticated prediction on mobility using AI,
Speaker 3: but we also use it for energy consumption. We use
Speaker 3: it to detect unknown patterns like, for example, the impact
Speaker 3: of having pets in the environment and how that changes visitation.
Speaker 3: So when you look behind the scenes at what allows
Speaker 3: Lakenna to operate and what allows BEEP to find such
Speaker 3: a fertile environment for testing and operating these vehicles. Here
Speaker 3: there's a significant amount of AI and data that actually
Speaker 3: powers our community.
Speaker 1: Yeah, that's pretty cool. Just as you're describing the amount
Speaker 1: of data and be able to find all their stats.
Speaker 1: It just reminded me of the SimCity series of games
Speaker 1: that I used to play quite a bit, and using
Speaker 1: that to make decisions to make your citizens happy.
Speaker 3: I may have said once or twice that I get
Speaker 3: to play SimCity with a real city to a degree,
Speaker 3: so I know exactly what you mean.
Speaker 1: We'll be right back after a quick break. Welcome back
Speaker 1: to Technically Speaking an Intel podcast. When you think about
Speaker 1: AI in our environment, the question of oversight often comes
Speaker 1: into play. How did these tools manage incidents in the community.
Speaker 1: What metrics or data are used to determine when an
Speaker 1: AI tool should engage or intervene. I often think of
Speaker 1: the pacemaker as an example of how AI can be
Speaker 1: used to positively impact our lives. A monitoring system that
Speaker 1: is set up to only act when a severe change
Speaker 1: has occurred. BEEP is creating a system with checks and
Speaker 1: balances that can be more reliable than humans in reporting incidents.
Speaker 1: Vehicles are constantly collecting information inside and outside around what
Speaker 1: it observes and encounters that can make the community safer
Speaker 1: and more efficient.
Speaker 2: If you think of the in cab and environments and
Speaker 2: you think of the scenario of not having a person
Speaker 2: of authority on board, there is no driver, there is
Speaker 2: no attendant. In the future, I mean, we're developing tools
Speaker 2: and techniques that monitor the activities of the writers to
Speaker 2: ensure we understand that if there is a health of
Speaker 2: you know, somebody crouches over in their chair as an example,
Speaker 2: if there's an unfortunate situation like somebody were to present
Speaker 2: a weapon. You have to think of all these types
Speaker 2: of use cases, and what's critical about that is being
Speaker 2: able to process that observation and quickly align that with
Speaker 2: how we would get some communication into the vehicle and
Speaker 2: or immediately dispatch support or services. You know, one of
Speaker 2: the things that is so important about these vehicles is
Speaker 2: in the event of an incident, you have the perfect eyewitness.
Speaker 2: Every time you're videotaping what's happened in an intersection, you're
Speaker 2: leveraging that information and data to measure exactly how did
Speaker 2: an autonomous vehicle respond, and so an important piece of
Speaker 2: leveraging data in the future for the work that we're
Speaker 2: doing is going to really reinvent how we do things
Speaker 2: like supporting police activities out there in the area of
Speaker 2: data collection and determining fault in scenarios, but most importantly
Speaker 2: taking that data back and improving situations that may be
Speaker 2: hazardous to roadway conditions that result in accidents and things
Speaker 2: of that nature. Externally, if you think of all the
Speaker 2: data that is being collected, simple things that we're able
Speaker 2: to determine by being out there on the roadways in
Speaker 2: these different traffic scenarios are used to improve traffic flow
Speaker 2: and one hit on some of the things they do
Speaker 2: in standing road infrastructure that can also be done in
Speaker 2: the data that's collected through these vehicles. There are scenarios
Speaker 2: where public works departments can utilize the data and we
Speaker 2: can send them examples of where a tree lim is
Speaker 2: growing out over a power line, or potholes in the road,
Speaker 2: or other circumstances that may create a safety issue that
Speaker 2: need to be addressed. And so there's just an enormous
Speaker 2: amount of observation that's going on every time we are
Speaker 2: on a route that that can serve so many important purposes,
Speaker 2: just to proactively address things before they come problems.
Speaker 3: I think it's pretty unique that you have now these
Speaker 3: autonomous vehicles moving throughout communities. They carry people and provide service,
Speaker 3: but they're also a very accurate scanner. Right. Autonomous vehicles
Speaker 3: have cameras, they have light ar. When you ride the beeps,
Speaker 3: you actually see in a display what the vehicle is seeing,
Speaker 3: and it's like recording every minute detail of the environment,
Speaker 3: and it's a three D view of the world around it.
Speaker 3: So it's I think a unique opportunity and one that
Speaker 3: we haven't fully utilized yet of having this objects that
Speaker 3: are three D scanners that are traversing the community thousands
Speaker 3: of times a month, and they can provide us with
Speaker 3: an incredible amount of information. So I think it's a
Speaker 3: unique opportunity and one that we haven't utilized as much
Speaker 3: of the data that the vehicles generate as we could.
Speaker 1: But there's a lot more to Lakenna than their revolutionary
Speaker 1: public transportation. One that stands out to me, which I
Speaker 1: hope more towns and cities will consider, is Wi Fi
Speaker 1: access for all its residents, something that's quickly becoming an
Speaker 1: essential utility. Lakenona is also home to the most technologically
Speaker 1: advanced hotel in the world, the Lake Nona Wave Hotel.
Speaker 1: Beyond the new fangled tech for residents and visitors, Lakenona
Speaker 1: also considers itself a living lab community where companies and
Speaker 1: innovators can connect, collaborate, and test their prototypes and ideas
Speaker 1: in a real world setting. And in terms of the
Speaker 1: partnership with Intel, when I'll start with you, what were
Speaker 1: some of the technologies and help that Intel provided your project?
Speaker 3: So we are primarily an Intel shop when it comes
Speaker 3: to processing. We utilize Intel CPUs for a variety of
Speaker 3: the data that we collect, and we're even experimenting right
Speaker 3: now with Intel GPUs as a way to actually do
Speaker 3: some of the heavier data processing. So it's one thing
Speaker 3: that's always running and always behind the scenes from our perspective. Now,
Speaker 3: we have a variety of partners like people that actually
Speaker 3: engage in some of the more advanced technologies that Intel
Speaker 3: has to offer. But from our part, it's a strong
Speaker 3: combination of tried and true you know CPUs and you know,
Speaker 3: we're getting some pretty interesting performance results from Intel GPUs
Speaker 3: now that make them usable for a variety of data
Speaker 3: crunching tasks for data sets that we find interesting.
Speaker 1: Yeah, I just want to switch now a little bit
Speaker 1: to the safety side of things. I've actually got a
Speaker 1: bit of a background in mining, and I was around
Speaker 1: with the advent of the whole autonomous mining vehicles with
Speaker 1: those huge dump trucks being in a loaded and driven
Speaker 1: without any drivers, which is a real site to see.
Speaker 1: Going through some of that technology, they had a very strict,
Speaker 1: multi layer approach to safety. There was like seven tiers
Speaker 1: right down to people having actual buttons they can press,
Speaker 1: and it just shuts everything down. How have you tackled
Speaker 1: the approach of safety, particularly in a much more open
Speaker 1: environment than a mind sight.
Speaker 2: First, I would tell you as you look at autonomous mobility,
Speaker 2: safety is the primary driver of why these technologies exist.
Speaker 2: You know, in the US, ninety four percent of all
Speaker 2: accidents and many tens of thousands of fatalities a year
Speaker 2: a result of human distraction, impairment, and error, and that's
Speaker 2: a well known fact. Obviously, taking some of the faults
Speaker 2: of the driver out of the equation by utilizing technology
Speaker 2: that's never distracted, never impaired, and always on is an
Speaker 2: important aspect of this. It's not just about achieving an
Speaker 2: equivalent level of safety, which is a common phrase used
Speaker 2: at the standards of how do you choose to put
Speaker 2: an autonomous vehicle on the road. You have to prove
Speaker 2: that it's equal to or better than the driven vehicle
Speaker 2: in the eyes of our government, the US Department of
Speaker 2: Transportation and NITS in particular. Well, if you think of
Speaker 2: the opportunity and one hit on some of the technologies
Speaker 2: in Lake Nona to have roadside infrastructure that is looking
Speaker 2: down a roadway, communicating with our vehicles and telling us
Speaker 2: that the tree jectory of a particular car at a
Speaker 2: particular speed is telling us it's very likely to run
Speaker 2: that red light. So it's not just about the vehicles themselves,
Speaker 2: it's about that entire connected infrastructure and how you use
Speaker 2: other technologies to give you views of scenarios or predict
Speaker 2: the event that may happen. Given the information that we're
Speaker 2: perceiving from roadside infrastructure or intersection infrastructure, that can be
Speaker 2: fed to these vehicles to dramatically improve safety and reduce
Speaker 2: some of these scenarios that candidly a human would never
Speaker 2: see or understand from their vantage point just behind the
Speaker 2: wheel of a car. And so I think those things
Speaker 2: are equally as important as the great work that's going
Speaker 2: on with the autonomous platforms themselves.
Speaker 1: Now looking into the future, Joe, as you know, AI
Speaker 1: is evolving very rapidly, particularly around generative AIL and even
Speaker 1: just the visual AI capabilities. With new GPUs coming out
Speaker 1: all the time, how do you place SPEEP strategically so
Speaker 1: to take advantage of any sort of new technologies that
Speaker 1: come out, and so that you're keeping ahead of the
Speaker 1: competition and also be able to serve your communities better.
Speaker 2: If you look at the future of autonomous mobility, obviously
Speaker 2: the market that we are focused on, and you think
Speaker 2: of expanded use cases and evolving from what today in
Speaker 2: our world are planned services, planned routes, geo fenced areas,
Speaker 2: and the broader that you expand the horizons of the
Speaker 2: types of environments that these vehicles would ultimately traverse and serve.
Speaker 2: It's just going to be very very critical that we
Speaker 2: as a business stay out in front of how we
Speaker 2: leverage AI to improve what these vehicles are able to do.
Speaker 2: It's going to be imperative for our business model to
Speaker 2: succeed by utilizing the technology and the AI technologies in
Speaker 2: particular to be able to understand, perceive, and properly respond
Speaker 2: to these situations that are out there, both on our
Speaker 2: roadways and in our vehicles, so that we can provide
Speaker 2: a safe, convenient service for expanded use cases across the country.
Speaker 1: Did you want to add to that?
Speaker 3: Definitely, and maybe fast forward a little bit more into
Speaker 3: the future. Today, we use AI and we use the
Speaker 3: tools that we have in our toolkit to make things
Speaker 3: safe and efficient, right, and that's definitely the right order
Speaker 3: to take. I mean, safety is the number one concern
Speaker 3: and then making sure that it's efficient. But then once
Speaker 3: you tackle those I think AI opens the opportunity for
Speaker 3: things that are very unique. How about the vehicle recognizing
Speaker 3: that the persons that are there, because we're able to
Speaker 3: look into their schedules, they have an extra two minutes
Speaker 3: and there's a side road that could be calm right
Speaker 3: where they could see a lake, or what if you're
Speaker 3: able to figure out that there's a live event going on,
Speaker 3: and instead of having only the opportunity for you to
Speaker 3: attend because you're there, the system automatically redirects the non
Speaker 3: essential traffic to one where you can actually listen to
Speaker 3: live music as you go in I think the experiential
Speaker 3: opportunities of this intersection between technical AI for efficiency for safety,
Speaker 3: couple with let's call it human understanding powered by AI.
Speaker 3: They open these intersections that we haven't thought about. Right,
Speaker 3: maybe when we get the next version of your routing
Speaker 3: on your GPS, when you pull it in your phone,
Speaker 3: it's not going to say avoid tolls. It may say
Speaker 3: bring my blood pressure down right. It may say let
Speaker 3: me discover the place that I'm in. That's the thing
Speaker 3: that really excites me is sure we'll use the tools
Speaker 3: to make sure we tackle the technical so that we
Speaker 3: can deliver the experiential.
Speaker 1: Okay, Finally, I like to sort of wrap it up
Speaker 1: with some ethical type questions. We talked a little bit
Speaker 1: about data privacy and user privacy. You do work with
Speaker 1: a lot of local governments and local municipalities. I'd like
Speaker 1: to get your thoughts on how do we strike that
Speaker 1: balance or even if indeed there is a balance, or
Speaker 1: should be just ensure by default that it users privacy
Speaker 1: is sacrisanct.
Speaker 2: First, I mean, obviously, even with the data collected, we
Speaker 2: have to honor the PII restrictions and other things that
Speaker 2: exist in our and certainly respect that right to privacy.
Speaker 2: I will tell you that a lot of the information
Speaker 2: that's gathered is not to identify details of an individual.
Speaker 2: It's about taking that collective body of information to predict
Speaker 2: certain outcomes or events and identify certain behaviors that would
Speaker 2: enable us to address the situation or perform a different service.
Speaker 2: But very very critical we're able to capture these images
Speaker 2: and the information that we do to ensure we're improving
Speaker 2: the safety and performance of these types of platforms and
Speaker 2: work within obviously the respected boundaries that we all have.
Speaker 1: For our audience. Can you just define the PII sure?
Speaker 3: It's personally identifiable data usually a collection of things that
Speaker 3: can allow you to identify a personal like, for example,
Speaker 3: your name, your address, your telephone number, and in some
Speaker 3: other cases things like your biometrics like your face or
Speaker 3: other things that are uniquely attachable to you. I mean
Speaker 3: other environments and other users of data I think have
Speaker 3: a much tougher situation because they have to deal with
Speaker 3: personally identifiable data to conductor business because who you are
Speaker 3: is critically important to how they deliver the service. It's
Speaker 3: not yet for what we do, and by just not
Speaker 3: collecting the data and then making sure we have no
Speaker 3: opportunity to actually look at one individual only collective data.
Speaker 3: We put ourselves in a situation that we are not
Speaker 3: infringing into people's identities or privacy.
Speaker 1: That's good to know. Thanks Joan one for your time today.
Speaker 1: It was really great talking to you and I've learned
Speaker 1: a lot.
Speaker 3: Thank you, Graham.
Speaker 1: Yeah, thanks very much.
Speaker 2: Enjoyed it.
Speaker 1: I would like to thank my guests Joe Moy and
Speaker 1: Juan Santos for joining me on this episode of Technically Speaking,
Speaker 1: an Intel podcast. I gained significant insights from my guests
Speaker 1: today and I hope you found it enlightening as well.
Speaker 1: My primary realization is that AI and technology have the
Speaker 1: power to shape and nurture local communities. I'm always inspired
Speaker 1: by grassroots solutions as opposed to overarching, top down strategies.
Speaker 1: Both Joe and Ian emphasize the criticality of data privacy
Speaker 1: and the necessity to protect users' personal details, particularly since
Speaker 1: they are working with local governments and agencies. On a
Speaker 1: technical front, it's evident that BEEP is adapting and evolving
Speaker 1: in its approach to autonomous vehicles. Currently, their shuttle models
Speaker 1: are facilitated by attendants, but the trajectory suggests that in
Speaker 1: a few years, these shuttles might operate autonomously with minimal supervision.
Speaker 1: Watching this transformation unfold is genuinely and exciting. While it's
Speaker 1: easy to be captivated by new technology, and I'm no exception,
Speaker 1: it's crucial to prioritize the user experience and the ti
Speaker 1: tangible benefits it brings to enriching lives from the Roman
Speaker 1: aqueducts to present day innovations. It's the relentless drive and
Speaker 1: commitment of visionaries like Joe and Juan that propel us forward.
Speaker 1: With a touch of luck and their pioneering spirit, we
Speaker 1: may soon pave the way for a future that would
Speaker 1: leave even the Jetsons and all. Please join us on Tuesday,
Speaker 1: December twelfth for the next episode, when we will learn
Speaker 1: about how Intel's AI for Workforce program is making learning
Speaker 1: AI more accessible. Technically Speaking was produced by Ruby Studios
Speaker 1: from iHeartRadio in partnership with Intel and hosted by me
Speaker 1: Graham Class. Our executive producer is Molly Sosha, our EP
Speaker 1: of Post Production is James Foster, and our supervising producer
Speaker 1: is Nikias Swinton. This episode was edited by Cira Spreen
Speaker 1: and written and produced by Tiree Rush