Speaker 1: Welcome to tech Stuff, a production from iHeartRadio.
Speaker 2: Hey there, tech Stuff listeners.
Speaker 1: This is Jonathan Strickland, executive producer at iHeart Podcasts, and
Speaker 1: what I have for you today is an episode of
Speaker 1: a new podcast we launched earlier this year in partnership
Speaker 1: with Intel. The show is called Technically Speaking, an Intel Podcast,
Speaker 1: and it focuses on all things artificial intelligence. Now, y'all
Speaker 1: have heard me talk about AI tons of times on
Speaker 1: tech Stuff, and I'm sure you've got a pretty good
Speaker 1: handle on my general thoughts and opinions about artificial intelligence.
Speaker 1: But that's not to say that my point of view
Speaker 1: is the only one, or heaven knows, it's not necessarily
Speaker 1: the correct one, or anything like that. This show features
Speaker 1: hosts Graham Class exploring bleeding edge implementations of AI and
Speaker 1: how AI is making incredible changes in the way we
Speaker 1: do different types of work and how it can help
Speaker 1: people in various ways. And he has conversations with pioneers
Speaker 1: and innovators in the space. So check out this episode
Speaker 1: and to hear more, make sure you subscribe to Technically
Speaker 1: Speaking and Intel podcast. Wherever you get your podcasts enjoy.
Speaker 3: Where do world changing ideas get their start at Intel.
Speaker 3: It starts with real solutions, and real solutions start with
Speaker 3: exceptional engineering, the quantum computing revolution, the next generation of
Speaker 3: AI experts, the renewable energy grid, liquid cooling, data centers,
Speaker 3: early diagnosis for cancer, water restoration, and even farmland protection.
Speaker 3: The examples are countless, the impacts are endless, but the
Speaker 3: foundation is always the same. It starts with Intel. Join
Speaker 3: us in redefining what's achievable through the power of AI.
Speaker 3: Learn more at Intel dot com slash stories. Welcome to
Speaker 3: Lake Nona, a beautiful residential and commercial oasis where the
Speaker 3: future has arrived. Lake Nona is a seventeen square mile
Speaker 3: community in Orlando, Florida that has established new standards of
Speaker 3: living that integrate the latest technology into every facet of life, including,
Speaker 3: but not limited to the way its citizens get around.
Speaker 3: Picture this. A person stands in the warm Florida sun
Speaker 3: at a designated bus stop, waiting for the next shuttle
Speaker 3: to arrive. And here it comes, not with the roar
Speaker 3: of an engine, but with the gentle hum of an
Speaker 3: energy efficient electric mona. The busk glides to a halt,
Speaker 3: and as the doors open, something is missing. There's no
Speaker 3: one in the driver's seat. That's because Lake Nona is
Speaker 3: home to one of the country's largest and longest running
Speaker 3: single site autonomous vehicle fleets. These energy efficient, self driving
Speaker 3: buses have transformed the way residents travel in this community,
Speaker 3: say and easily accessible. They whisk people from place to place,
Speaker 3: freeing hands, reducing traffic congestion, and embracing a sustainable future.
Speaker 3: What else can a world of autonomous public transportation do?
Speaker 3: How else may impact the way a community operates in
Speaker 3: this bright and sunny corner of the world. The horizon
Speaker 3: is limitless and our journey is full of possibilities. Hey there,
Speaker 3: I'm Grain Class and this is technically speaking an Intel podcast.
Speaker 3: The show is dedicated to highlighting technology is revolutionizing the
Speaker 3: way we live, work, and move. In every episode, we'll
Speaker 3: connect with innovators in areas like artificial intelligence to better
Speaker 3: understand the human centered technology they've developed. Thus far, we've
Speaker 3: explored how AI impacts society in the ways of agriculture, accessibility,
Speaker 3: and mental health. But one of the ways technology and
Speaker 3: especially artificial intelligence impact society is through its structures. AI
Speaker 3: is advancing the way cities are able to serve their citizens.
Speaker 3: There's a very interesting example of this happening in a
Speaker 3: small town in the United States. But before we go
Speaker 3: any further, I need to introduce my guests. Joining me
Speaker 3: now is Joey Morow, the CEO of BEEP, which is
Speaker 3: a company that offers autonomous mobility solutions in public and
Speaker 3: private communities across the US. His career has spanned the
Speaker 3: technology arena, from hardware and software to IT services. He
Speaker 3: has spearheaded groundbreaking enterprise projects in cutting edge startups to
Speaker 3: multi billion dollar enterprises. Joe's expertise in innovation, strategy and
Speaker 3: transformative technologies paved the way for his role at BEEP,
Speaker 3: where he now leads a new team transforming mobility as
Speaker 3: we know it. We are so excited to have you on, Joe.
Speaker 2: Thank you, Graham, glad to be here.
Speaker 3: Also joining us as Juan Santos, the senior vice president
Speaker 3: of Brand Experience and Innovation at Tavas Group. At table Stock,
Speaker 3: He's part of a multi disciplinary team that uses design
Speaker 3: thinking to build places where people can thrive. One is
Speaker 3: a recognized expert in design thinking, user generated content, virtual worlds,
Speaker 3: physical and digital, and loyalty and rewards.
Speaker 2: Welcome to the chop one.
Speaker 4: Thank you very much.
Speaker 3: Green, I'll start with you, Joe, Can you just tell
Speaker 3: us a little bit more about Beep and in particular
Speaker 3: your personal story around why you decided to get involved
Speaker 3: with the company.
Speaker 2: Yeah, I'm happy to Graham, and thanks again for having us.
Speaker 2: So Beep 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 work that we're doing,
Speaker 2: it's very focused on on shorthaul first mile last mile
Speaker 2: type use cases in public and private communities, solving for
Speaker 2: 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: autono enemy around this electric shared autonomous mobility in these
Speaker 2: micro transit use cases.
Speaker 3: BEEP is a turnkey mobility solution with the goal of
Speaker 3: providing stress free transportation, reducing carbon emissions, and improving road safety.
Speaker 3: Offering autonomous transportation to thousands of people, beep's technology focuses
Speaker 3: on community and offers localized travel solutions that reflect the
Speaker 3: way people want to engage with their neighborhood. Are these
Speaker 3: vehicles going to be driver lists or driver assisted? How
Speaker 3: 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 years,
Speaker 2: 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 3: Okay, great, I'll bring one into that discussion. Now, can
Speaker 3: you just tell us a little bit about your work
Speaker 3: at Tavasot Group.
Speaker 4: So I lead innovation and a brand experience in what
Speaker 4: most people would traditionally think of as a development company. However,
Speaker 4: Tavisak Development, which is the area that I focus mostly in,
Speaker 4: is not your traditional developer. We are actually an owner
Speaker 4: operator and in the case of BEEP, we have a
Speaker 4: place called Lakenona where directly contiguous to the Orlando Airport.
Speaker 4: We're proud citizens of the city of Orlando, but we
Speaker 4: represent an advanced district in the city, and it's a
Speaker 4: fairly large advanced district. We're approximately seventeen square miles to
Speaker 4: give you a point of comparison, Manhattan's twenty two, so
Speaker 4: it's a fairly large swath of land. And then we
Speaker 4: have pretty much every use case inside like no, no, I mean,
Speaker 4: we have universities, high schools, people can go to preschool,
Speaker 4: there's micro apartments, there's large homes, so it becomes this
Speaker 4: really interesting place. It's for people to live, but also
Speaker 4: for companies that are on the forefront of technology to
Speaker 4: use us a living lab. The reason BEEP is a
Speaker 4: critical partner for Lignona is because we believe mobility is
Speaker 4: one of those things that create a lot of friction
Speaker 4: inside a community. Right you come to a place and
Speaker 4: parking is difficult moving from one place to the other.
Speaker 4: That's really kind of like they're not so enjoyable, not
Speaker 4: so great parts of being in communities that are successful.
Speaker 4: In Lignona, we've tackled that friction with immobility by a
Speaker 4: variety of things, but we've also incorporated BEEP under autonomou
Speaker 4: shuttle operation as a critical part to provide that first
Speaker 4: and last mile mile and a half inside the community
Speaker 4: for people to traverse, and it's something that has been
Speaker 4: running now for multiple years. We have what I believe
Speaker 4: today is the largest and longest running autonomous shuttle operation
Speaker 4: in the United States in Lakenona. It's actually so prevalent
Speaker 4: now that we're coming close to the end of the
Speaker 4: year where we had a kid, you know, last Halloween
Speaker 4: actually dressed up as one of the autonomous shuttles. So
Speaker 4: it's something that's both an incredible service that reliefs striction,
Speaker 4: but it's become a natural part of the ecosystem that
Speaker 4: people live with and live in in Lachdana.
Speaker 3: Yeah, I'm interested in how that autonomous shuttle bus started
Speaker 3: and was there any I guess pushback or were any
Speaker 3: challenges with the community to try and get this sort
Speaker 3: of thing deployed.
Speaker 4: Actually, it was incredibly well received. It started in a
Speaker 4: conversation with the founders of BEEP. We were actually having
Speaker 4: a conversation about a different topic and the topic of
Speaker 4: autonomous mobility came up, and after that conversation. Fast forward
Speaker 4: eleven months and the company had been created, the vehicles
Speaker 4: have been brought into the US. We've worked with Department
Speaker 4: of Transportation and NITSA to make it happen, and from
Speaker 4: a community perspective, we actually did an outreach process where
Speaker 4: we actually allowed critical members of the community to be
Speaker 4: a part of understanding what the vehicles would do. For example,
Speaker 4: we had a specific day where the beeps were on
Speaker 4: preview just for first responders, so we showed our police
Speaker 4: department and the fire department how to work with the vehicles,
Speaker 4: how to operate them, how to move them if necessary,
Speaker 4: and when the vehicles rolled for the first time, we
Speaker 4: had a community that was ready, so we didn't have
Speaker 4: much pushback. Now we had people have to adapt to
Speaker 4: having a vehicle with no driver right because even though
Speaker 4: there's a safety attendant on board, the vehicles operating on
Speaker 4: its own and it operates differently than a humanly controlled vehicle.
Speaker 4: So we had some situations where people were like learning
Speaker 4: to interact with them, but for the most part, it
Speaker 4: was very well received. One of the hallmarks of known
Speaker 4: as a community is that our citizens, they think of
Speaker 4: themselves almost like citizen scientists. They're almost asking us what's
Speaker 4: new every week. It's like, what's the new thing to try.
Speaker 4: They've come to expect strange things to happen, you know,
Speaker 4: in the roads and other places in Lignona. So I
Speaker 4: think it was significantly better received because of the education
Speaker 4: that we did, because the first responders were on board,
Speaker 4: because we gave community previews, so it was not like suddenly,
Speaker 4: you know, self driving car shows up in the middle
Speaker 4: of the community.
Speaker 2: Right okay.
Speaker 3: And in terms of I mean we've talked about the
Speaker 3: autonomous side of things and the AI. Are there any
Speaker 3: other AI techniques or technology that has been used for
Speaker 3: general community planning and development? Are there any other tools
Speaker 3: out there that is currently being used?
Speaker 4: So from a legnano perspective, it's pretty significant. We actually
Speaker 4: have a very detailed data overlay that actually shows us
Speaker 4: how the city is behaving. Everything is private, so there
Speaker 4: is no personally identifiable information being collected, but we collect
Speaker 4: a wide variety of behaviors. I know how long people
Speaker 4: wait for an uber, I know the specific state of
Speaker 4: parking garages. Every spot is instrumental, so we know if
Speaker 4: there's a weight for them. We know how the beaps
Speaker 4: are flowing inside the community, and that is fed into
Speaker 4: a large data environment where we actually use AI driven
Speaker 4: tools to both predict and model the behavior of the environment.
Speaker 4: We've done presophisticated prediction on mobility using AI, but we
Speaker 4: also use it for energy consumption. We use it to
Speaker 4: detect unknown patterns, like, for example, the impact of having
Speaker 4: pets in the environment and how that changes visitation. So
Speaker 4: when you look behind the scenes at what allows Lakenna
Speaker 4: to operate and what allows Beep to find such a
Speaker 4: fertile environment for testing and operating these vehicles here, there's
Speaker 4: a significant amount of AI and data that actually powers
Speaker 4: our community.
Speaker 3: Yeah, that's pretty cool. Just as you're describing the amount
Speaker 3: of data and be able to find all their starts.
Speaker 3: It just reminded me of the SimCity series of games
Speaker 3: that I used to play quite a bit, and using
Speaker 3: that to make decisions to make your citizens happy.
Speaker 4: I may have said once or twice that I get
Speaker 4: to play SimCity with a real city to a degree,
Speaker 4: so I know exactly what you mean.
Speaker 3: We'll be right back after a quick break. Where do
Speaker 3: world changing ideas get their start? At Intel? It starts
Speaker 3: with real solutions, and real solutions start with exceptional engineering.
Speaker 3: Empowering those with disabilities starts with assistive AI, and stopping
Speaker 3: crop loss from infestation starts with thermal imaging and open technology,
Speaker 3: while artificial intelligence that predicts depression starts with educational programs
Speaker 3: like Intel's AI for Youth. And that's just the start
Speaker 3: the quantum computing revolution. The next generation of AI experts
Speaker 3: the renewable energy grid, liquid cooling, data centers, radiation exposure
Speaker 3: prevention in space, water restoration, and early cancer detection. The
Speaker 3: examples are countless, the impacts are endless, but the foundation
Speaker 3: is always the same. It starts with Intel. Learn more
Speaker 3: at Intel dot com, Forward Slash Stories Welcome back to
Speaker 3: Technically Speaking, an Intel podcast. When you think about AI
Speaker 3: in our environment, the question of oversight often comes into play.
Speaker 3: How did these tools manage incidents in the community. What
Speaker 3: metrics or data are you to determine when an AI
Speaker 3: tool should engage or intervene. I often think of the
Speaker 3: pacemaker as an example of how AI can be used
Speaker 3: to positively impact our lives. A monitoring system that is
Speaker 3: set up to only act when a severe change has occurred.
Speaker 3: BEEP is creating a system with checks and balances that
Speaker 3: can be more reliable than humans in reporting incidents. Vehicles
Speaker 3: are constantly collecting information inside and outside around what it
Speaker 3: observes and encounters that can make the community safer and
Speaker 3: 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 event,
Speaker 2: you know, somebody crouches over 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 limb 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 4: I think it's pretty unique that you have now these
Speaker 4: autonomous vehicles moving throughout communities. They carry people and provide service,
Speaker 4: but they're also a very accurate scanner.
Speaker 2: Right.
Speaker 4: Autonomous vehicles have cameras, they have light ar. When you
Speaker 4: ride the beeps, you actually see in a display what
Speaker 4: the vehicle is seeing, and it's like recording every minute
Speaker 4: detail of the environment, and it's a three D view
Speaker 4: of the world around it. So it's I think a
Speaker 4: unique opportunity and one that we haven't fully utilized yet
Speaker 4: of having these objects that are three D scanners that
Speaker 4: are traversion the community thousands of times a month, and
Speaker 4: they can provide us with an incredible amount of information.
Speaker 4: So I think it's a unique opportunity and one would
Speaker 4: we haven't utilized as much of the data that the
Speaker 4: vehicles generate as we could.
Speaker 3: But there's a lot more to Lake Nona than their
Speaker 3: revolutionary public transportation. One that stands out to me, which
Speaker 3: I hope more towns and cities will consider, is Wi
Speaker 3: Fi access for all its residents, something that's quickly becoming
Speaker 3: an essential utility. Lakenona is also home to the most
Speaker 3: technologically advanced hotel in the world, the Lake Nona Wave Hotel.
Speaker 3: Beyond the new fangled tech for residents and visitors, Lakenona
Speaker 3: also considers itself a living lab community where companies and
Speaker 3: innovators can connect, collaborate, and test their prototypes and ideas
Speaker 3: in a real world setting. And in terms of the
Speaker 3: partnership with Intel, while our start with you, what were
Speaker 3: some of the technologies and help that Intel provided your project?
Speaker 4: So we are primarily an Intel shop when it comes
Speaker 4: to processing. We utilize Intel CPUs for a variety of
Speaker 4: the data that we collect, and we're even experimenting right
Speaker 4: now with Intel GPUs as a way to actually do
Speaker 4: some of the heavier data processing. So it's one thing
Speaker 4: that's always running and always behind the scenes from our perspective. Now,
Speaker 4: we have a variety of partners like people that actually
Speaker 4: engage in some of the more advanced technologies that Intel
Speaker 4: has to offer. But from our part, it's a strong
Speaker 4: combination of tried and true you know CPUs and you know,
Speaker 4: we're getting some pretty interesting performance results from Intel GPUs
Speaker 4: now that make them usable for a variety of data
Speaker 4: crunching tasks for large data sets that we find interesting.
Speaker 3: Yeah, I just want to switch now a little bit
Speaker 3: to the safety side of things. I've actually got a
Speaker 3: bit of a background in mining, and I was around
Speaker 3: with the advent of the whole autonomous mining vehicles with
Speaker 3: those huge dump trucks being in a loaded and driven
Speaker 3: without any drivers, which is a real site to see.
Speaker 3: Going through some of that technology, they had a very strict,
Speaker 3: multi layer approach to safety. There was like seven tiers
Speaker 3: right down to people having actual buttons they can press,
Speaker 3: and it just shuts everything down. How have you tackled
Speaker 3: the approach of safety, particularly in a much more open
Speaker 3: 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, impairmile 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. But It's not just about achieving
Speaker 2: an equivalent level of safety, which is a common phrase
Speaker 2: used at the standards of how do you choose to
Speaker 2: put an autonomous vehicle on the road. You have to
Speaker 2: prove that it's equal to or better than the driven
Speaker 2: vehicle in the eyes of our government, the US Department
Speaker 2: of Transportation and Knits in particular. Well, if you think
Speaker 2: of the opportunity and one hit on some of the
Speaker 2: technologies in Lake Nona to have roadside infrastructure that is
Speaker 2: looking down a roadway, communicating with our vehicles and telling
Speaker 2: us that the trajectory 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 3: Now looking into the future, Joe, as you know, AI
Speaker 3: is evolving very rapidly, particularly around generative AI and even
Speaker 3: just the visual AI capabilities. With new GPUs coming out
Speaker 3: all the time, how do you place BEEP strategically so
Speaker 3: to take advantage of any sort of new technologies that
Speaker 3: come out, and so that you're keeping ahead of the
Speaker 3: 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 you what today
Speaker 2: in 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 comperative 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 3: Did you want to add to that?
Speaker 4: Definitely, and maybe fast forward a little bit more into
Speaker 4: the future. Today, we use AI and we use the
Speaker 4: tools that we have in our toolkit to make things
Speaker 4: safe and efficient, right, and that's definitely the right order
Speaker 4: to take. I mean, safety is the number one concern
Speaker 4: and then making sure that it's efficient. But then once
Speaker 4: you tackle those I think AI opens the opportunity for
Speaker 4: things that are very unique. How about the vehicle recognizing
Speaker 4: that the persons that are there, because we're able to
Speaker 4: look into their schedules, they have an extra two minutes
Speaker 4: and there's a side road that could be calm right
Speaker 4: where they could see a lake or what if you're
Speaker 4: able to figure out that there's a live event going on,
Speaker 4: and instead of having only the opportunity for you to
Speaker 4: attend because you're there, the system automatically redirects the non
Speaker 4: essential traffic to one where you can actually listen to
Speaker 4: live music as you go in. I think the experiential
Speaker 4: opportunities of this intersection between technical AI for efficiency for safety,
Speaker 4: couple with let's call it human understanding powered by AI,
Speaker 4: they open these intersections that we haven't thought about. Right,
Speaker 4: Maybe when we get the next version of your routing
Speaker 4: on your GPS, when you pull it in your phone,
Speaker 4: it's not going to say avoid toolls. It may say
Speaker 4: bring my blood pressure down right. It may say let
Speaker 4: me discover the place that I'm in. That's the thing
Speaker 4: that really excites me is sure we'll use the tools
Speaker 4: to make sure we tackle the technical so that we
Speaker 4: can deliver the experiential.
Speaker 3: Okay, Finally, I like to sort of wrap it up
Speaker 3: with some ethical type questions. We talked a little bit
Speaker 3: about data privacy and user privacy. You do work with
Speaker 3: a lot of local governments and local municipalities. I'd like
Speaker 3: to get your thoughts on how do we strike that
Speaker 3: balance or even if indeed there is a balance, or
Speaker 3: should be just ensure by default that it users privacy
Speaker 3: 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 country and certainly respect that right 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 3: For audience, Can you just define the PII? Sure?
Speaker 4: It's personally identifiable data, usually a collection of things that
Speaker 4: can allow you to identify a personal like, for example,
Speaker 4: your name, your address, your telephone number, and in some
Speaker 4: other cases things like your biometrics like your face, or
Speaker 4: other things that are uniquely attachable to you. I mean,
Speaker 4: other environments and other users of data I think have
Speaker 4: a much tougher situation because they have to deal with
Speaker 4: personally identifiable data to conduct your business because who you
Speaker 4: are is critically important to how they deliver the service.
Speaker 4: It's not yet for what we do, and by just
Speaker 4: not collecting the data and then making sure we have
Speaker 4: no opportunity to actually look at one individual, only collective data.
Speaker 4: We put ourselves in a situation that we are not
Speaker 4: infringing into people's identities or privacy.
Speaker 3: That's good to know. Thanks Joan one for your time today.
Speaker 3: It was really great talking to you and I've learned
Speaker 3: a lot.
Speaker 4: Thank you, Graham.
Speaker 2: Yeah, thanks very much. Enjoyed it.
Speaker 3: I would like to thank my guests Joe and Juan
Speaker 3: Santos for joining me on this episode of Technically Speaking,
Speaker 3: an Intel podcast. I gained significant insights from my guests
Speaker 3: today and I hope you found it enlightening as well.
Speaker 3: My primary realization is that AI and technology have the
Speaker 3: power to shape and nurture local communities. I'm always inspired
Speaker 3: by grassroots solutions as opposed to overarching, top down strategies.
Speaker 3: Both Joe and Ie emphasize the criticality of data privacy
Speaker 3: and the necessity to protect users' personal details, particularly since
Speaker 3: they are working with local governments and agencies. On a
Speaker 3: technical front, it's evident that BEEP is adapting and evolving
Speaker 3: in its approach to autonomous vehicles. Currently, their shuttle models
Speaker 3: are facilitated by attendants, but the trajectory suggests that in
Speaker 3: a few years, these shuttles might operate autonomously with minimal supervision.
Speaker 3: Watching this transformation unfold is genuinely and exciting. While it's
Speaker 3: easy to be captivated by new technology, and I'm no exception,
Speaker 3: it's crucial to prioritize the user experience and the tangible
Speaker 3: benefits it brings to enriching lives from the Roman aqueducts
Speaker 3: to present day innovations. It's the relentless drive and commitment
Speaker 3: of visionaries like Joe and Juan that propel us forward.
Speaker 3: With a touch of luck and their pioneering spirit, we
Speaker 3: may soon pave the way for a future that would
Speaker 3: leave even the Jetsons and all. Please join us on Tuesday,
Speaker 3: December twelfth for the next episode, when we will learn
Speaker 3: about how Intel's AI for Workforce program is making learning
Speaker 3: AI more accessible. Technically Speaking was produced by Ruby Studios
Speaker 3: from iHeartRadio in partnership with Intel and hosted by me
Speaker 3: Graham Class. Our executive producer is Moley Sosha, our EP
Speaker 3: of Post Production is James Foster, and our supervising producer
Speaker 3: is Nikkia Swinton. This episode was edited by Cira Spreen
Speaker 3: and written and produced by Tiree Rush. Where do world
Speaker 3: change ideas get their start? At Intel? It starts with
Speaker 3: real solutions, and real solutions start with exceptional engineering, the
Speaker 3: quantum computing revolution, the next generation of AI experts, the
Speaker 3: renewable energy grid, liquid cooling, data centers, early diagnosis for cancer,
Speaker 3: water restoration, and even farmland protection. The examples are countless,
Speaker 3: the impacts are endless, but the foundation is always the same.
Speaker 3: It starts with Intel. Join us in redefining what's achievable
Speaker 3: through the power of AI. Learn more at Intel dot
Speaker 3: com slash Stories.