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Speaker 1: Welcome to Lake Nona, a beautiful residential and commercial oasis

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Speaker 1: where the future has arrived. Lake Nona is a seventeen

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Speaker 1: square mile community in Orlando, Florida that has established new

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Speaker 1: standards of living that integrate the latest technology into every

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Speaker 1: facet of life, including, but not limited to the way

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Speaker 1: its citizens get around. Picture this. A person stands in

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Speaker 1: the warm Florida sun at a designated bus stop, waiting

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Speaker 1: for the next shuttle to arrive. And here it comes,

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Speaker 1: not with the roar of an engine, but with the

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Speaker 1: gentle hum of an energy efficient electric mona. The busk

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Speaker 1: glides to a halt, and as the doors open, something

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Speaker 1: is missing. There's no one in the driver's seat. That's

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Speaker 1: because Lake Nona is home to one of the country's

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Speaker 1: largest and longest running single site autonomous vehicle fleets. These

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Speaker 1: energy efficient, self driving buses have transformed the way residents

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Speaker 1: travel in this community, safe and easily accessible. They whisk

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Speaker 1: people from place to place, freeing hands, reducing traffic congestion,

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Speaker 1: and embracing a sustainable future. What else can a world

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Speaker 1: of autonomous public transportation do? How else may impact the

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Speaker 1: way a community operates in this bright and sunny corner

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Speaker 1: of the world. The horizon is limitless and our journey

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Speaker 1: is full of possibilities. Hey there, I'm Grain Class and

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Speaker 1: this is technically speaking, an Intel podcast. The show is

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Speaker 1: dedicated to highlighting technology is revolutionizing the way we live,

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Speaker 1: work and move. In every episode, we'll connect with innovators

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Speaker 1: in areas like artificial intelligence to better understand the human

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Speaker 1: centered technology they've developed. Thus far, we've explored how AI

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Speaker 1: impacts society in the ways of agriculture, accessibility, and mental health.

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Speaker 1: But one of the ways technology and especially artificial intelligence

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Speaker 1: impact society is through its structures. AI is advancing the

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Speaker 1: ways cities are able to serve their citizens. There's a

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Speaker 1: very interesting example of this happening in a small town

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Speaker 1: in the United States. But before we go any further,

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Speaker 1: I need to introduce my guests. Joining me now is

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Speaker 1: Joey Morow, the CEO of Beep, which is a company

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Speaker 1: that offers autonomous mobility solutions in public and private communities

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Speaker 1: across the US. His career has spanned the technology arena,

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Speaker 1: from hardware and software to IT services. He has spearheaded

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Speaker 1: groundbreaking enterprise projects in cutting edge startups to multi billion

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Speaker 1: dollar enterprises, Joe's expertise in innovation, strategy and transformative technologies

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Speaker 1: paved the way for his role at BEEP, where he

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Speaker 1: now leads a new team transforming mobility as we know it.

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Speaker 1: We are so excited to have you on, Joe.

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Speaker 2: Thank you, Graham, glad to be here.

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Speaker 1: Also joining us as Juan Santos, the senior vice president

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Speaker 1: of Brand, Experience and Innovation at Tavistop Route. At Tavistop,

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Speaker 1: he's part of a multi disciplinary team that uses design

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Speaker 1: thinking to build places where people can thrive. One is

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Speaker 1: a recognized expert in design thinking, user generated content, virtual

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Speaker 1: worlds physical and digital, and loyalty and rewards. Welcome to

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Speaker 1: the chop one.

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Speaker 3: Thank you very much.

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Speaker 2: Green.

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Speaker 1: I'll start with you, Joe. Can you just tell us

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Speaker 1: a little bit more about Beep and in particular your

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Speaker 1: personal story around why you decided to get involved with

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Speaker 1: the company.

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Speaker 2: Yeah, I'm happy to Graham, and thanks again for having us.

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Speaker 2: So Deep was founded on the premise that autonomous mobility

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Speaker 2: is going to be proven out in I'll see incremental

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Speaker 2: use cases. I know everybody has had different experiences and

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Speaker 2: or has read a little bit about what driving and

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Speaker 2: mobility is about. You know I would tell you if

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Speaker 2: you think of the technologies and the world work that

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Speaker 2: we're doing, it's very focused on shorthaul first mile last

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Speaker 2: mile type use cases in public and private communities, solving

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Speaker 2: for that micro transit gap across many areas of our country.

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Speaker 2: Second is very important that it's a shared platform, so

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Speaker 2: we focus on more controlled speed GEO fenced use cases,

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Speaker 2: but in a shared mobility form factor, meaning a shuttle

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Speaker 2: that seats a ten to twelve passengers and really represents

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Speaker 2: that ability to provide a good balance of yes, personal mobility,

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Speaker 2: but also community mobility. So the business was founded by

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Speaker 2: a group of us that are also investors in the company.

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Speaker 2: We've been entrepreneurs across a couple of funds, so we're

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Speaker 2: venture capitalists as well as operators. And again, as we

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Speaker 2: looked at this key inflection point in the area of

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Speaker 2: technology specific to autonomy, made a very calculated approach to

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Speaker 2: focusing on this micro segment of the larger market of

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Speaker 2: autonomy around this electric shared autonomous mobility in these micro

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Speaker 2: transit use cases.

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Speaker 1: BEEP is a turnkey mobility solution with the goal of

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Speaker 1: providing stress free transportation, reducing carbon emissions, and improving road safety,

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Speaker 1: offering autonomous transportation to thousands of people. Beep's technology focuses

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Speaker 1: on community and offers localized travel solutions that reflect the

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Speaker 1: way people want to engage with their neighborhood. Are these

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Speaker 1: vehicles going to be driver lists or driver assisted? How

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Speaker 1: is that currently being played out?

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Speaker 2: Yeah, it's a great question. We work in partnership with

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Speaker 2: the US Department of Transportation, who oversees the use of

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Speaker 2: these vehicles on our roadways today. So the vehicles are

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Speaker 2: operating in a very high percentage fully autonomous, but we

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Speaker 2: do have safety attendants or ambassadors on board whose responsibility

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Speaker 2: is to both educate welcome passengers and introduce them to

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Speaker 2: the technology, help them feel comfortable with these types of services,

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Speaker 2: but also to take over manual control should that be

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Speaker 2: needed if there's an event on the roadway that requires

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Speaker 2: some level of intervention. Fast forward a couple of short

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Speaker 2: years and those attendants are going to be virtual or remote.

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Speaker 2: So we will in our types of services always have

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Speaker 2: a human in the loop. It will shift from being

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Speaker 2: an onboard attendant to a virtual attendant. And you can

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Speaker 2: only imagine, especially in the area of public transportation, if

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Speaker 2: there is some circumstance, be that a traffic jam or

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Speaker 2: a pothole on a roadway or some other eventuality. You

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Speaker 2: still have to be able to communicate with passengers on

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Speaker 2: board if there's a reason to pull a vehicle off

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Speaker 2: the side of the road, let people know what's going

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Speaker 2: on and what to do about it.

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Speaker 1: Okay, great, I'll bring one into that discussion. Now, could

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Speaker 1: you just tell us a little bit about your work

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Speaker 1: at Taviasop Group.

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Speaker 3: So I lead innovation and a brand experience in what

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Speaker 3: most people would traditionally think of as a development company. However,

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Speaker 3: Tavistak Development, which is the area that I focus mostly in,

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Speaker 3: is not your traditional developer. We are actually an owner operator,

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Speaker 3: and in the case of BEEP, we have a place

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Speaker 3: called Lakenona where directly contiguous to the Orlando Airport. We're

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Speaker 3: proud citizens of the city of Orlando, but we represent

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Speaker 3: an advanced district in the city, and it's a fairly

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Speaker 3: large advanced district. We're approximately seventeen square miles to give

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Speaker 3: you a point of comparison, Manhattan's twenty two, so it's

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Speaker 3: a fairly large swath of land. And then we have

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Speaker 3: pretty much every use case inside like no. I mean,

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Speaker 3: we have universities, high schools, people can go to preschool,

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Speaker 3: there's micro apartments, there's large homes, so it comes this

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Speaker 3: really interesting place for people to live, but also for

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Speaker 3: companies that are on the forefront of technology to use

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Speaker 3: us a living lab. The reason BEEP is a critical

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Speaker 3: partner for Lignona is because we believe mobility is one

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Speaker 3: of those things that create a lot of friction inside

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Speaker 3: a community. Right you come to a place and parking

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Speaker 3: is difficult, moving from one place to the other. That's

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Speaker 3: really kind of like they're not so enjoyable, not so

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Speaker 3: great parts of being in communities that are successful. In Lignona,

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Speaker 3: we've tackled that friction with immobility by a variety of things,

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Speaker 3: but we've also incorporated BEEP under autonomou shuttle operation as

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Speaker 3: a critical part to provide that first and last mile

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Speaker 3: mile and a half inside the community for people to traverse.

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Speaker 3: And it's something that has been running now for multiple years.

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Speaker 3: We have what I believe today is the largest and

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Speaker 3: longest running autonomous shuttle operation in the United States in Leagnona.

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Speaker 3: It's actually is so prevalent now that we're coming close

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Speaker 3: to the end of the year where we had a kid,

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Speaker 3: you know, last Halloween actually dressed up as one of

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Speaker 3: the autonomous shuttles. So it's something that's both an incredible

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Speaker 3: service that reliefs striction, but it's become a natural part

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Speaker 3: of the ecosystem that people live with and live in

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Speaker 3: in Lakedana.

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Speaker 1: Yeah, I'm interested in how that autonomous shuttle bus started

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Speaker 1: and was there any I guess pushback or were any

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Speaker 1: challenges with the community to try and get this sort

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Speaker 1: of thing deployed.

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Speaker 3: Actually, it was incredibly well received. It started in a

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Speaker 3: conversation with the founders of Beep. We were actually having

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Speaker 3: a conversation about a different topic and the topic of

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Speaker 3: autonomous mobility came up. And after that conversation, fast forward

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Speaker 3: eleven months and the company had been created, the vehicles

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Speaker 3: have been brought into the US. We've worked with Department

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Speaker 3: of Transportation and NITSA to make it happen, and from

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Speaker 3: a community perspective, we actually did an outreach process where

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Speaker 3: we actually allowed critical members of the community to be

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Speaker 3: a part of understanding what the vehicles would do. For example,

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Speaker 3: we had a specific day where the beeps were on

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Speaker 3: preview just for first responders, so We showed our police

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Speaker 3: department and the fire department how to work with the vehicles,

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Speaker 3: how to operate them, how to move them if necessary,

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Speaker 3: and when the vehicles rolled for the first time, we

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Speaker 3: had a community that was ready, so we didn't have

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Speaker 3: much pushback. Now we had people have to adapt to

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Speaker 3: having a vehicle with no driver, right because even though

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Speaker 3: there's a safety attendant on board, the vehicles operating on

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Speaker 3: its own, and it operates differently than a humanly controlled vehicle.

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Speaker 3: So we had some situations where people were like learning

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Speaker 3: to interact with them. But for the most part, it

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Speaker 3: was very well received. One of the hallmarks of known

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Speaker 3: as a community is that our citizens, they think of

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Speaker 3: them sells almost like citizen scientists. They're almost asking us

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Speaker 3: what's new every week. It's like what's the new thing

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Speaker 3: to try. They've come to expect strange things to happen,

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Speaker 3: you know, in the roads and other places in Lignona.

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Speaker 3: So I think it was significantly better received because of

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Speaker 3: the education that we did, because the first responders were

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Speaker 3: on board, because we gave community previews, so it was

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Speaker 3: not like suddenly, you know, self driving car shows up

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Speaker 3: in the middle of the community.

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Speaker 1: Right, Okay, and in terms of I mean we've talked

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Speaker 1: about the autonomous side of things and the AI. Are

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Speaker 1: there any other AI techniques or technology that has been

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Speaker 1: used for general community planning and development? Are there any

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Speaker 1: other tools out there that is currently being used?

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Speaker 3: So from a legnano perspective, it's pretty significant. We actually

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Speaker 3: have a very detailed data overlay that actually shows us

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Speaker 3: how the city is behaving. Everything is private, so there

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Speaker 3: is no personal identifiable information being collected, but we collect

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Speaker 3: a wide variety of behaviors. I know, you know how

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Speaker 3: long people wait for an uver, I know the specific

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Speaker 3: state of parking garages. Every spot is instrumental, so we

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Speaker 3: know if there's a weight for them. We know how

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Speaker 3: the beaps are flowing inside the community, and that is

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Speaker 3: fed into a large data environment where we actually use

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Speaker 3: AI driven tools to both predict and model the behavior

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Speaker 3: of the environment. We've done presophisticated prediction on mobility using AI,

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Speaker 3: but we also use it for energy consumption. We use

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Speaker 3: it to detect unknown patterns like, for example, the impact

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Speaker 3: of having pets in the environment and how that changes visitation.

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Speaker 3: So when you look behind the scenes at what allows

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Speaker 3: Lakenna to operate and what allows BEEP to find such

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Speaker 3: a fertile environment for testing and operating these vehicles. Here

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Speaker 3: there's a significant amount of AI and data that actually

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Speaker 3: powers our community.

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Speaker 1: Yeah, that's pretty cool. Just as you're describing the amount

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Speaker 1: of data and be able to find all their stats.

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Speaker 1: It just reminded me of the SimCity series of games

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Speaker 1: that I used to play quite a bit, and using

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Speaker 1: that to make decisions to make your citizens happy.

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Speaker 3: I may have said once or twice that I get

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Speaker 3: to play SimCity with a real city to a degree,

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Speaker 3: so I know exactly what you mean.

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Speaker 1: We'll be right back after a quick break. Welcome back

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Speaker 1: to Technically Speaking an Intel podcast. When you think about

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Speaker 1: AI in our environment, the question of oversight often comes

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Speaker 1: into play. How did these tools manage incidents in the community.

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Speaker 1: What metrics or data are used to determine when an

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Speaker 1: AI tool should engage or intervene. I often think of

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Speaker 1: the pacemaker as an example of how AI can be

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Speaker 1: used to positively impact our lives. A monitoring system that

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Speaker 1: is set up to only act when a severe change

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Speaker 1: has occurred. BEEP is creating a system with checks and

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Speaker 1: balances that can be more reliable than humans in reporting incidents.

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Speaker 1: Vehicles are constantly collecting information inside and outside around what

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Speaker 1: it observes and encounters that can make the community safer

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Speaker 1: and more efficient.

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Speaker 2: If you think of the in cab and environments and

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Speaker 2: you think of the scenario of not having a person

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Speaker 2: of authority on board, there is no driver, there is

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Speaker 2: no attendant. In the future, I mean, we're developing tools

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Speaker 2: and techniques that monitor the activities of the writers to

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Speaker 2: ensure we understand that if there is a health of

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Speaker 2: you know, somebody crouches over in their chair as an example,

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Speaker 2: if there's an unfortunate situation like somebody were to present

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Speaker 2: a weapon. You have to think of all these types

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Speaker 2: of use cases, and what's critical about that is being

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Speaker 2: able to process that observation and quickly align that with

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Speaker 2: how we would get some communication into the vehicle and

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Speaker 2: or immediately dispatch support or services. You know, one of

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Speaker 2: the things that is so important about these vehicles is

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Speaker 2: in the event of an incident, you have the perfect eyewitness.

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Speaker 2: Every time you're videotaping what's happened in an intersection, you're

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Speaker 2: leveraging that information and data to measure exactly how did

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Speaker 2: an autonomous vehicle respond, and so an important piece of

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Speaker 2: leveraging data in the future for the work that we're

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Speaker 2: doing is going to really reinvent how we do things

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Speaker 2: like supporting police activities out there in the area of

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Speaker 2: data collection and determining fault in scenarios, but most importantly

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Speaker 2: taking that data back and improving situations that may be

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Speaker 2: hazardous to roadway conditions that result in accidents and things

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Speaker 2: of that nature. Externally, if you think of all the

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Speaker 2: data that is being collected, simple things that we're able

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Speaker 2: to determine by being out there on the roadways in

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Speaker 2: these different traffic scenarios are used to improve traffic flow

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Speaker 2: and one hit on some of the things they do

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Speaker 2: in standing road infrastructure that can also be done in

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Speaker 2: the data that's collected through these vehicles. There are scenarios

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Speaker 2: where public works departments can utilize the data and we

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Speaker 2: can send them examples of where a tree lim is

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Speaker 2: growing out over a power line, or potholes in the road,

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Speaker 2: or other circumstances that may create a safety issue that

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Speaker 2: need to be addressed. And so there's just an enormous

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Speaker 2: amount of observation that's going on every time we are

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Speaker 2: on a route that that can serve so many important purposes,

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Speaker 2: just to proactively address things before they come problems.

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Speaker 3: I think it's pretty unique that you have now these

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Speaker 3: autonomous vehicles moving throughout communities. They carry people and provide service,

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Speaker 3: but they're also a very accurate scanner. Right. Autonomous vehicles

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Speaker 3: have cameras, they have light ar. When you ride the beeps,

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Speaker 3: you actually see in a display what the vehicle is seeing,

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Speaker 3: and it's like recording every minute detail of the environment,

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Speaker 3: and it's a three D view of the world around it.

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Speaker 3: So it's I think a unique opportunity and one that

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Speaker 3: we haven't fully utilized yet of having this objects that

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Speaker 3: are three D scanners that are traversing the community thousands

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Speaker 3: of times a month, and they can provide us with

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Speaker 3: an incredible amount of information. So I think it's a

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Speaker 3: unique opportunity and one that we haven't utilized as much

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Speaker 3: of the data that the vehicles generate as we could.

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Speaker 1: But there's a lot more to Lakenna than their revolutionary

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Speaker 1: public transportation. One that stands out to me, which I

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Speaker 1: hope more towns and cities will consider, is Wi Fi

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Speaker 1: access for all its residents, something that's quickly becoming an

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Speaker 1: essential utility. Lakenona is also home to the most technologically

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Speaker 1: advanced hotel in the world, the Lake Nona Wave Hotel.

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Speaker 1: Beyond the new fangled tech for residents and visitors, Lakenona

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Speaker 1: also considers itself a living lab community where companies and

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Speaker 1: innovators can connect, collaborate, and test their prototypes and ideas

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Speaker 1: in a real world setting. And in terms of the

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Speaker 1: partnership with Intel, when I'll start with you, what were

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Speaker 1: some of the technologies and help that Intel provided your project?

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Speaker 3: So we are primarily an Intel shop when it comes

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Speaker 3: to processing. We utilize Intel CPUs for a variety of

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Speaker 3: the data that we collect, and we're even experimenting right

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Speaker 3: now with Intel GPUs as a way to actually do

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Speaker 3: some of the heavier data processing. So it's one thing

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Speaker 3: that's always running and always behind the scenes from our perspective. Now,

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Speaker 3: we have a variety of partners like people that actually

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Speaker 3: engage in some of the more advanced technologies that Intel

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Speaker 3: has to offer. But from our part, it's a strong

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Speaker 3: combination of tried and true you know CPUs and you know,

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Speaker 3: we're getting some pretty interesting performance results from Intel GPUs

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Speaker 3: now that make them usable for a variety of data

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Speaker 3: crunching tasks for data sets that we find interesting.

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Speaker 1: Yeah, I just want to switch now a little bit

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Speaker 1: to the safety side of things. I've actually got a

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Speaker 1: bit of a background in mining, and I was around

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Speaker 1: with the advent of the whole autonomous mining vehicles with

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Speaker 1: those huge dump trucks being in a loaded and driven

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Speaker 1: without any drivers, which is a real site to see.

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Speaker 1: Going through some of that technology, they had a very strict,

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Speaker 1: multi layer approach to safety. There was like seven tiers

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Speaker 1: right down to people having actual buttons they can press,

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Speaker 1: and it just shuts everything down. How have you tackled

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Speaker 1: the approach of safety, particularly in a much more open

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Speaker 1: environment than a mind sight.

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Speaker 2: First, I would tell you as you look at autonomous mobility,

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Speaker 2: safety is the primary driver of why these technologies exist.

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Speaker 2: You know, in the US, ninety four percent of all

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Speaker 2: accidents and many tens of thousands of fatalities a year

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Speaker 2: a result of human distraction, impairment, and error, and that's

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Speaker 2: a well known fact. Obviously, taking some of the faults

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Speaker 2: of the driver out of the equation by utilizing technology

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Speaker 2: that's never distracted, never impaired, and always on is an

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Speaker 2: important aspect of this. It's not just about achieving an

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Speaker 2: equivalent level of safety, which is a common phrase used

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Speaker 2: at the standards of how do you choose to put

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Speaker 2: an autonomous vehicle on the road. You have to prove

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Speaker 2: that it's equal to or better than the driven vehicle

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Speaker 2: in the eyes of our government, the US Department of

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Speaker 2: Transportation and NITS in particular. Well, if you think of

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Speaker 2: the opportunity and one hit on some of the technologies

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Speaker 2: in Lake Nona to have roadside infrastructure that is looking

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Speaker 2: down a roadway, communicating with our vehicles and telling us

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Speaker 2: that the tree jectory of a particular car at a

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Speaker 2: particular speed is telling us it's very likely to run

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Speaker 2: that red light. So it's not just about the vehicles themselves,

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Speaker 2: it's about that entire connected infrastructure and how you use

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Speaker 2: other technologies to give you views of scenarios or predict

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Speaker 2: the event that may happen. Given the information that we're

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Speaker 2: perceiving from roadside infrastructure or intersection infrastructure, that can be

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Speaker 2: fed to these vehicles to dramatically improve safety and reduce

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Speaker 2: some of these scenarios that candidly a human would never

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Speaker 2: see or understand from their vantage point just behind the

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Speaker 2: wheel of a car. And so I think those things

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Speaker 2: are equally as important as the great work that's going

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Speaker 2: on with the autonomous platforms themselves.

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Speaker 1: Now looking into the future, Joe, as you know, AI

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Speaker 1: is evolving very rapidly, particularly around generative AIL and even

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Speaker 1: just the visual AI capabilities. With new GPUs coming out

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Speaker 1: all the time, how do you place SPEEP strategically so

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Speaker 1: to take advantage of any sort of new technologies that

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Speaker 1: come out, and so that you're keeping ahead of the

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Speaker 1: competition and also be able to serve your communities better.

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Speaker 2: If you look at the future of autonomous mobility, obviously

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Speaker 2: the market that we are focused on, and you think

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Speaker 2: of expanded use cases and evolving from what today in

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Speaker 2: our world are planned services, planned routes, geo fenced areas,

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Speaker 2: and the broader that you expand the horizons of the

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Speaker 2: types of environments that these vehicles would ultimately traverse and serve.

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Speaker 2: It's just going to be very very critical that we

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Speaker 2: as a business stay out in front of how we

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Speaker 2: leverage AI to improve what these vehicles are able to do.

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Speaker 2: It's going to be imperative for our business model to

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Speaker 2: succeed by utilizing the technology and the AI technologies in

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Speaker 2: particular to be able to understand, perceive, and properly respond

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Speaker 2: to these situations that are out there, both on our

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Speaker 2: roadways and in our vehicles, so that we can provide

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Speaker 2: a safe, convenient service for expanded use cases across the country.

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Speaker 1: Did you want to add to that?

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Speaker 3: Definitely, and maybe fast forward a little bit more into

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Speaker 3: the future. Today, we use AI and we use the

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Speaker 3: tools that we have in our toolkit to make things

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Speaker 3: safe and efficient, right, and that's definitely the right order

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Speaker 3: to take. I mean, safety is the number one concern

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Speaker 3: and then making sure that it's efficient. But then once

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Speaker 3: you tackle those I think AI opens the opportunity for

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Speaker 3: things that are very unique. How about the vehicle recognizing

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Speaker 3: that the persons that are there, because we're able to

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Speaker 3: look into their schedules, they have an extra two minutes

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Speaker 3: and there's a side road that could be calm right

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Speaker 3: where they could see a lake, or what if you're

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Speaker 3: able to figure out that there's a live event going on,

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Speaker 3: and instead of having only the opportunity for you to

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Speaker 3: attend because you're there, the system automatically redirects the non

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Speaker 3: essential traffic to one where you can actually listen to

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Speaker 3: live music as you go in I think the experiential

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Speaker 3: opportunities of this intersection between technical AI for efficiency for safety,

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Speaker 3: couple with let's call it human understanding powered by AI.

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Speaker 3: They open these intersections that we haven't thought about. Right,

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Speaker 3: maybe when we get the next version of your routing

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Speaker 3: on your GPS, when you pull it in your phone,

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Speaker 3: it's not going to say avoid tolls. It may say

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Speaker 3: bring my blood pressure down right. It may say let

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Speaker 3: me discover the place that I'm in. That's the thing

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Speaker 3: that really excites me is sure we'll use the tools

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Speaker 3: to make sure we tackle the technical so that we

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Speaker 3: can deliver the experiential.

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Speaker 1: Okay, Finally, I like to sort of wrap it up

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Speaker 1: with some ethical type questions. We talked a little bit

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Speaker 1: about data privacy and user privacy. You do work with

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Speaker 1: a lot of local governments and local municipalities. I'd like

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Speaker 1: to get your thoughts on how do we strike that

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Speaker 1: balance or even if indeed there is a balance, or

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Speaker 1: should be just ensure by default that it users privacy

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Speaker 1: is sacrisanct.

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Speaker 2: First, I mean, obviously, even with the data collected, we

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Speaker 2: have to honor the PII restrictions and other things that

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Speaker 2: exist in our and certainly respect that right to privacy.

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Speaker 2: I will tell you that a lot of the information

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Speaker 2: that's gathered is not to identify details of an individual.

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Speaker 2: It's about taking that collective body of information to predict

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Speaker 2: certain outcomes or events and identify certain behaviors that would

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Speaker 2: enable us to address the situation or perform a different service.

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Speaker 2: But very very critical we're able to capture these images

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Speaker 2: and the information that we do to ensure we're improving

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Speaker 2: the safety and performance of these types of platforms and

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Speaker 2: work within obviously the respected boundaries that we all have.

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Speaker 1: For our audience. Can you just define the PII sure?

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Speaker 3: It's personally identifiable data usually a collection of things that

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Speaker 3: can allow you to identify a personal like, for example,

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Speaker 3: your name, your address, your telephone number, and in some

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Speaker 3: other cases things like your biometrics like your face or

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Speaker 3: other things that are uniquely attachable to you. I mean

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Speaker 3: other environments and other users of data I think have

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Speaker 3: a much tougher situation because they have to deal with

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Speaker 3: personally identifiable data to conductor business because who you are

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Speaker 3: is critically important to how they deliver the service. It's

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Speaker 3: not yet for what we do, and by just not

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Speaker 3: collecting the data and then making sure we have no

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Speaker 3: opportunity to actually look at one individual only collective data.

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Speaker 3: We put ourselves in a situation that we are not

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Speaker 3: infringing into people's identities or privacy.

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Speaker 1: That's good to know. Thanks Joan one for your time today.

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Speaker 1: It was really great talking to you and I've learned

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Speaker 1: a lot.

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Speaker 3: Thank you, Graham.

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Speaker 1: Yeah, thanks very much.

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Speaker 2: Enjoyed it.

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Speaker 1: I would like to thank my guests Joe Moy and

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Speaker 1: Juan Santos for joining me on this episode of Technically Speaking,

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Speaker 1: an Intel podcast. I gained significant insights from my guests

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Speaker 1: today and I hope you found it enlightening as well.

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Speaker 1: My primary realization is that AI and technology have the

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Speaker 1: power to shape and nurture local communities. I'm always inspired

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Speaker 1: by grassroots solutions as opposed to overarching, top down strategies.

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Speaker 1: Both Joe and Ian emphasize the criticality of data privacy

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Speaker 1: and the necessity to protect users' personal details, particularly since

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Speaker 1: they are working with local governments and agencies. On a

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Speaker 1: technical front, it's evident that BEEP is adapting and evolving

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Speaker 1: in its approach to autonomous vehicles. Currently, their shuttle models

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Speaker 1: are facilitated by attendants, but the trajectory suggests that in

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Speaker 1: a few years, these shuttles might operate autonomously with minimal supervision.

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Speaker 1: Watching this transformation unfold is genuinely and exciting. While it's

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Speaker 1: easy to be captivated by new technology, and I'm no exception,

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Speaker 1: it's crucial to prioritize the user experience and the ti

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Speaker 1: tangible benefits it brings to enriching lives from the Roman

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Speaker 1: aqueducts to present day innovations. It's the relentless drive and

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Speaker 1: commitment of visionaries like Joe and Juan that propel us forward.

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Speaker 1: With a touch of luck and their pioneering spirit, we

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Speaker 1: may soon pave the way for a future that would

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Speaker 1: leave even the Jetsons and all. Please join us on Tuesday,

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Speaker 1: December twelfth for the next episode, when we will learn

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Speaker 1: about how Intel's AI for Workforce program is making learning

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Speaker 1: AI more accessible. Technically Speaking was produced by Ruby Studios

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Speaker 1: from iHeartRadio in partnership with Intel and hosted by me

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Speaker 1: Graham Class. Our executive producer is Molly Sosha, our EP

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Speaker 1: of Post Production is James Foster, and our supervising producer

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Speaker 1: is Nikias Swinton. This episode was edited by Cira Spreen

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Speaker 1: and written and produced by Tiree Rush