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Speaker 1: Welcome to tech Stuff, a production from iHeartRadio.

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Speaker 2: Hey there, tech Stuff listeners.

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Speaker 1: This is Jonathan Strickland, executive producer at iHeart Podcasts, and

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Speaker 1: what I have for you today is an episode of

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Speaker 1: a new podcast we launched earlier this year in partnership

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Speaker 1: with Intel. The show is called Technically Speaking, an Intel Podcast,

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Speaker 1: and it focuses on all things artificial intelligence. Now, y'all

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Speaker 1: have heard me talk about AI tons of times on

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Speaker 1: tech Stuff, and I'm sure you've got a pretty good

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Speaker 1: handle on my general thoughts and opinions about artificial intelligence.

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Speaker 1: But that's not to say that my point of view

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Speaker 1: is the only one, or heaven knows, it's not necessarily

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Speaker 1: the correct one, or anything like that. This show features

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Speaker 1: hosts Graham Class exploring bleeding edge implementations of AI and

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Speaker 1: how AI is making incredible changes in the way we

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Speaker 1: do different types of work and how it can help

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Speaker 1: people in various ways. And he has conversations with pioneers

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Speaker 1: and innovators in the space. So check out this episode

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Speaker 1: and to hear more, make sure you subscribe to Technically

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Speaker 1: Speaking and Intel podcast. Wherever you get your podcasts enjoy.

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Speaker 3: Where do world changing ideas get their start at Intel.

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Speaker 3: It starts with real solutions, and real solutions start with

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Speaker 3: exceptional engineering, the quantum computing revolution, the next generation of

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Speaker 3: AI experts, the renewable energy grid, liquid cooling, data centers,

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Speaker 3: early diagnosis for cancer, water restoration, and even farmland protection.

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Speaker 3: The examples are countless, the impacts are endless, but the

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Speaker 3: foundation is always the same. It starts with Intel. Join

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Speaker 3: us in redefining what's achievable through the power of AI.

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Speaker 3: Learn more at Intel dot com slash stories. Welcome to

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Speaker 3: Lake Nona, a beautiful residential and commercial oasis where the

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Speaker 3: future has arrived. Lake Nona is a seventeen square mile

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Speaker 3: community in Orlando, Florida that has established new standards of

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Speaker 3: living that integrate the latest technology into every facet of life, including,

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Speaker 3: but not limited to the way its citizens get around.

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Speaker 3: Picture this. A person stands in the warm Florida sun

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Speaker 3: at a designated bus stop, waiting for the next shuttle

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Speaker 3: to arrive. And here it comes, not with the roar

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Speaker 3: of an engine, but with the gentle hum of an

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Speaker 3: energy efficient electric mona. The busk glides to a halt,

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Speaker 3: and as the doors open, something is missing. There's no

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Speaker 3: one in the driver's seat. That's because Lake Nona is

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Speaker 3: home to one of the country's largest and longest running

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Speaker 3: single site autonomous vehicle fleets. These energy efficient, self driving

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Speaker 3: buses have transformed the way residents travel in this community,

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Speaker 3: say and easily accessible. They whisk people from place to place,

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Speaker 3: freeing hands, reducing traffic congestion, and embracing a sustainable future.

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Speaker 3: What else can a world of autonomous public transportation do?

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Speaker 3: How else may impact the way a community operates in

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Speaker 3: this bright and sunny corner of the world. The horizon

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Speaker 3: is limitless and our journey is full of possibilities. Hey there,

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Speaker 3: I'm Grain Class and this is technically speaking an Intel podcast.

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Speaker 3: The show is dedicated to highlighting technology is revolutionizing the

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Speaker 3: way we live, work, and move. In every episode, we'll

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Speaker 3: connect with innovators in areas like artificial intelligence to better

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Speaker 3: understand the human centered technology they've developed. Thus far, we've

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Speaker 3: explored how AI impacts society in the ways of agriculture, accessibility,

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Speaker 3: and mental health. But one of the ways technology and

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Speaker 3: especially artificial intelligence impact society is through its structures. AI

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Speaker 3: is advancing the way cities are able to serve their citizens.

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Speaker 3: There's a very interesting example of this happening in a

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Speaker 3: small town in the United States. But before we go

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Speaker 3: any further, I need to introduce my guests. Joining me

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Speaker 3: now is Joey Morow, the CEO of BEEP, which is

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Speaker 3: a company that offers autonomous mobility solutions in public and

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Speaker 3: private communities across the US. His career has spanned the

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Speaker 3: technology arena, from hardware and software to IT services. He

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Speaker 3: has spearheaded groundbreaking enterprise projects in cutting edge startups to

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Speaker 3: multi billion dollar enterprises. Joe's expertise in innovation, strategy and

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Speaker 3: transformative technologies paved the way for his role at BEEP,

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Speaker 3: where he now leads a new team transforming mobility as

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Speaker 3: we know it. 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 3: Also joining us as Juan Santos, the senior vice president

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Speaker 3: of Brand Experience and Innovation at Tavas Group. At table Stock,

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Speaker 3: He's part of a multi disciplinary team that uses design

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Speaker 3: thinking to build places where people can thrive. One is

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Speaker 3: a recognized expert in design thinking, user generated content, virtual worlds,

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Speaker 3: physical and digital, and loyalty and rewards.

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Speaker 2: Welcome to the chop one.

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Speaker 4: Thank you very much.

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Speaker 3: Green, I'll start with you, Joe, Can you just tell

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Speaker 3: us a little bit more about Beep and in particular

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Speaker 3: your personal story around why you decided to get involved

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Speaker 3: with 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 Beep 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 work that we're doing,

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Speaker 2: it's very focused on on shorthaul first mile last mile

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

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Speaker 2: 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: autono enemy around this electric shared autonomous mobility in these

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Speaker 2: micro transit use cases.

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Speaker 3: BEEP is a turnkey mobility solution with the goal of

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Speaker 3: providing stress free transportation, reducing carbon emissions, and improving road safety.

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Speaker 3: Offering autonomous transportation to thousands of people, beep's technology focuses

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Speaker 3: on community and offers localized travel solutions that reflect the

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Speaker 3: way people want to engage with their neighborhood. Are these

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Speaker 3: vehicles going to be driver lists or driver assisted? How

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Speaker 3: 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 years,

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Speaker 2: 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 3: Okay, great, I'll bring one into that discussion. Now, can

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Speaker 3: you just tell us a little bit about your work

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Speaker 3: at Tavasot Group.

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Speaker 4: So I lead innovation and a brand experience in what

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Speaker 4: most people would traditionally think of as a development company. However,

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Speaker 4: Tavisak Development, which is the area that I focus mostly in,

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Speaker 4: is not your traditional developer. We are actually an owner

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Speaker 4: operator and in the case of BEEP, we have a

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Speaker 4: place called Lakenona where directly contiguous to the Orlando Airport.

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Speaker 4: We're proud citizens of the city of Orlando, but we

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Speaker 4: represent an advanced district in the city, and it's a

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Speaker 4: fairly large advanced district. We're approximately seventeen square miles to

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Speaker 4: give you a point of comparison, Manhattan's twenty two, so

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Speaker 4: it's a fairly large swath of land. And then we

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Speaker 4: have pretty much every use case inside like no, no, I mean,

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Speaker 4: we have universities, high schools, people can go to preschool,

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Speaker 4: there's micro apartments, there's large homes, so it becomes this

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Speaker 4: really interesting place. It's for people to live, but also

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Speaker 4: for companies that are on the forefront of technology to

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Speaker 4: use us a living lab. The reason BEEP is a

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Speaker 4: critical partner for Lignona is because we believe mobility is

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Speaker 4: one of those things that create a lot of friction

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Speaker 4: inside a community. Right you come to a place and

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Speaker 4: parking is difficult moving from one place to the other.

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Speaker 4: That's really kind of like they're not so enjoyable, not

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Speaker 4: so great parts of being in communities that are successful.

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Speaker 4: In Lignona, we've tackled that friction with immobility by a

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Speaker 4: variety of things, but we've also incorporated BEEP under autonomou

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Speaker 4: shuttle operation as a critical part to provide that first

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Speaker 4: and last mile mile and a half inside the community

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Speaker 4: for people to traverse, and it's something that has been

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Speaker 4: running now for multiple years. We have what I believe

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Speaker 4: today is the largest and longest running autonomous shuttle operation

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Speaker 4: in the United States in Lakenona. It's actually so prevalent

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Speaker 4: now that we're coming close to the end of the

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Speaker 4: year where we had a kid, you know, last Halloween

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Speaker 4: actually dressed up as one of the autonomous shuttles. So

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Speaker 4: it's something that's both an incredible service that reliefs striction,

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Speaker 4: but it's become a natural part of the ecosystem that

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Speaker 4: people live with and live in in Lachdana.

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Speaker 3: Yeah, I'm interested in how that autonomous shuttle bus started

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Speaker 3: and was there any I guess pushback or were any

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Speaker 3: challenges with the community to try and get this sort

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Speaker 3: of thing deployed.

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Speaker 4: Actually, it was incredibly well received. It started in a

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Speaker 4: conversation with the founders of BEEP. We were actually having

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Speaker 4: a conversation about a different topic and the topic of

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Speaker 4: autonomous mobility came up, and after that conversation. Fast forward

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Speaker 4: eleven months and the company had been created, the vehicles

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Speaker 4: have been brought into the US. We've worked with Department

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Speaker 4: of Transportation and NITSA to make it happen, and from

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Speaker 4: a community perspective, we actually did an outreach process where

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Speaker 4: we actually allowed critical members of the community to be

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Speaker 4: a part of understanding what the vehicles would do. For example,

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Speaker 4: we had a specific day where the beeps were on

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Speaker 4: preview just for first responders, so we showed our police

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Speaker 4: department and the fire department how to work with the vehicles,

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Speaker 4: how to operate them, how to move them if necessary,

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Speaker 4: and when the vehicles rolled for the first time, we

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Speaker 4: had a community that was ready, so we didn't have

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Speaker 4: much pushback. Now we had people have to adapt to

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Speaker 4: having a vehicle with no driver right because even though

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Speaker 4: there's a safety attendant on board, the vehicles operating on

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Speaker 4: its own and it operates differently than a humanly controlled vehicle.

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Speaker 4: So we had some situations where people were like learning

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Speaker 4: to interact with them, but for the most part, it

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Speaker 4: was very well received. One of the hallmarks of known

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Speaker 4: as a community is that our citizens, they think of

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Speaker 4: themselves almost like citizen scientists. They're almost asking us what's

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Speaker 4: new every week. It's like, what's the new thing to try.

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Speaker 4: They've come to expect strange things to happen, you know,

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Speaker 4: in the roads and other places in Lignona. So I

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Speaker 4: think it was significantly better received because of the education

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Speaker 4: that we did, because the first responders were on board,

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Speaker 4: because we gave community previews, so it was not like suddenly,

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Speaker 4: you know, self driving car shows up in the middle

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Speaker 4: of the community.

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Speaker 2: Right okay.

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Speaker 3: And in terms of I mean we've talked about the

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Speaker 3: autonomous side of things and the AI. Are there any

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Speaker 3: other AI techniques or technology that has been used for

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Speaker 3: general community planning and development? Are there any other tools

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Speaker 3: out there that is currently being used?

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Speaker 4: So from a legnano perspective, it's pretty significant. We actually

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Speaker 4: have a very detailed data overlay that actually shows us

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Speaker 4: how the city is behaving. Everything is private, so there

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Speaker 4: is no personally identifiable information being collected, but we collect

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Speaker 4: a wide variety of behaviors. I know how long people

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Speaker 4: wait for an uber, I know the specific state of

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Speaker 4: parking garages. Every spot is instrumental, so we know if

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Speaker 4: there's a weight for them. We know how the beaps

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Speaker 4: are flowing inside the community, and that is fed into

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Speaker 4: a large data environment where we actually use AI driven

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Speaker 4: tools to both predict and model the behavior of the environment.

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Speaker 4: We've done presophisticated prediction on mobility using AI, but we

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Speaker 4: also use it for energy consumption. We use it to

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Speaker 4: detect unknown patterns, like, for example, the impact of having

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Speaker 4: pets in the environment and how that changes visitation. So

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Speaker 4: when you look behind the scenes at what allows Lakenna

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Speaker 4: to operate and what allows Beep to find such a

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Speaker 4: fertile environment for testing and operating these vehicles here, there's

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Speaker 4: a significant amount of AI and data that actually powers

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Speaker 4: our community.

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Speaker 3: Yeah, that's pretty cool. Just as you're describing the amount

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Speaker 3: of data and be able to find all their starts.

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Speaker 3: It just reminded me of the SimCity series of games

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Speaker 3: that I used to play quite a bit, and using

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Speaker 3: that to make decisions to make your citizens happy.

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Speaker 4: I may have said once or twice that I get

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Speaker 4: to play SimCity with a real city to a degree,

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Speaker 4: so I know exactly what you mean.

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Speaker 3: We'll be right back after a quick break. Where do

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Speaker 3: world changing ideas get their start? At Intel? It starts

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Speaker 3: with real solutions, and real solutions start with exceptional engineering.

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Speaker 3: Empowering those with disabilities starts with assistive AI, and stopping

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Speaker 3: crop loss from infestation starts with thermal imaging and open technology,

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Speaker 3: while artificial intelligence that predicts depression starts with educational programs

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Speaker 3: like Intel's AI for Youth. And that's just the start

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Speaker 3: the quantum computing revolution. The next generation of AI experts

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Speaker 3: the renewable energy grid, liquid cooling, data centers, radiation exposure

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Speaker 3: prevention in space, water restoration, and early cancer detection. The

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Speaker 3: examples are countless, the impacts are endless, but the foundation

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Speaker 3: is always the same. It starts with Intel. Learn more

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Speaker 3: at Intel dot com, Forward Slash Stories Welcome back to

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Speaker 3: Technically Speaking, an Intel podcast. When you think about AI

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Speaker 3: in our environment, the question of oversight often comes into play.

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Speaker 3: How did these tools manage incidents in the community. What

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Speaker 3: metrics or data are you to determine when an AI

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Speaker 3: tool should engage or intervene. I often think of the

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Speaker 3: pacemaker as an example of how AI can be used

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Speaker 3: to positively impact our lives. A monitoring system that is

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Speaker 3: set up to only act when a severe change has occurred.

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Speaker 3: BEEP is creating a system with checks and balances that

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Speaker 3: can be more reliable than humans in reporting incidents. Vehicles

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Speaker 3: are constantly collecting information inside and outside around what it

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Speaker 3: observes and encounters that can make the community safer and

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Speaker 3: 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 event,

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Speaker 2: you know, somebody crouches over 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 limb 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 4: I think it's pretty unique that you have now these

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Speaker 4: autonomous vehicles moving throughout communities. They carry people and provide service,

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Speaker 4: but they're also a very accurate scanner.

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Speaker 2: Right.

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Speaker 4: Autonomous vehicles have cameras, they have light ar. When you

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Speaker 4: ride the beeps, you actually see in a display what

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Speaker 4: the vehicle is seeing, and it's like recording every minute

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Speaker 4: detail of the environment, and it's a three D view

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Speaker 4: of the world around it. So it's I think a

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Speaker 4: unique opportunity and one that we haven't fully utilized yet

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Speaker 4: of having these objects that are three D scanners that

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Speaker 4: are traversion the community thousands of times a month, and

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Speaker 4: they can provide us with an incredible amount of information.

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Speaker 4: So I think it's a unique opportunity and one would

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Speaker 4: we haven't utilized as much of the data that the

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Speaker 4: vehicles generate as we could.

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Speaker 3: But there's a lot more to Lake Nona than their

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Speaker 3: revolutionary public transportation. One that stands out to me, which

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Speaker 3: I hope more towns and cities will consider, is Wi

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Speaker 3: Fi access for all its residents, something that's quickly becoming

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Speaker 3: an essential utility. Lakenona is also home to the most

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Speaker 3: technologically advanced hotel in the world, the Lake Nona Wave Hotel.

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Speaker 3: Beyond the new fangled tech for residents and visitors, Lakenona

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Speaker 3: also considers itself a living lab community where companies and

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Speaker 3: innovators can connect, collaborate, and test their prototypes and ideas

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Speaker 3: in a real world setting. And in terms of the

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Speaker 3: partnership with Intel, while our start with you, what were

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Speaker 3: some of the technologies and help that Intel provided your project?

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Speaker 4: So we are primarily an Intel shop when it comes

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Speaker 4: to processing. We utilize Intel CPUs for a variety of

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Speaker 4: the data that we collect, and we're even experimenting right

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Speaker 4: now with Intel GPUs as a way to actually do

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Speaker 4: some of the heavier data processing. So it's one thing

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Speaker 4: that's always running and always behind the scenes from our perspective. Now,

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Speaker 4: we have a variety of partners like people that actually

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Speaker 4: engage in some of the more advanced technologies that Intel

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Speaker 4: has to offer. But from our part, it's a strong

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Speaker 4: combination of tried and true you know CPUs and you know,

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Speaker 4: we're getting some pretty interesting performance results from Intel GPUs

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Speaker 4: now that make them usable for a variety of data

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Speaker 4: crunching tasks for large data sets that we find interesting.

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Speaker 3: Yeah, I just want to switch now a little bit

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Speaker 3: to the safety side of things. I've actually got a

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Speaker 3: bit of a background in mining, and I was around

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Speaker 3: with the advent of the whole autonomous mining vehicles with

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Speaker 3: those huge dump trucks being in a loaded and driven

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Speaker 3: without any drivers, which is a real site to see.

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Speaker 3: Going through some of that technology, they had a very strict,

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Speaker 3: multi layer approach to safety. There was like seven tiers

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Speaker 3: right down to people having actual buttons they can press,

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Speaker 3: and it just shuts everything down. How have you tackled

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Speaker 3: the approach of safety, particularly in a much more open

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Speaker 3: 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, impairmile 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. But It's not just about achieving

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

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

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

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

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

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

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

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

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

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Speaker 2: us that the trajectory 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 3: Now looking into the future, Joe, as you know, AI

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Speaker 3: is evolving very rapidly, particularly around generative AI and even

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Speaker 3: just the visual AI capabilities. With new GPUs coming out

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Speaker 3: all the time, how do you place BEEP strategically so

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Speaker 3: to take advantage of any sort of new technologies that

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Speaker 3: come out, and so that you're keeping ahead of the

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Speaker 3: 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 you what today

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Speaker 2: in 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 comperative 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 3: Did you want to add to that?

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Speaker 4: Definitely, and maybe fast forward a little bit more into

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Speaker 4: the future. Today, we use AI and we use the

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Speaker 4: tools that we have in our toolkit to make things

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Speaker 4: safe and efficient, right, and that's definitely the right order

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Speaker 4: to take. I mean, safety is the number one concern

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Speaker 4: and then making sure that it's efficient. But then once

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Speaker 4: you tackle those I think AI opens the opportunity for

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Speaker 4: things that are very unique. How about the vehicle recognizing

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Speaker 4: that the persons that are there, because we're able to

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Speaker 4: look into their schedules, they have an extra two minutes

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Speaker 4: and there's a side road that could be calm right

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Speaker 4: where they could see a lake or what if you're

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Speaker 4: able to figure out that there's a live event going on,

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Speaker 4: and instead of having only the opportunity for you to

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Speaker 4: attend because you're there, the system automatically redirects the non

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Speaker 4: essential traffic to one where you can actually listen to

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Speaker 4: live music as you go in. I think the experiential

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Speaker 4: opportunities of this intersection between technical AI for efficiency for safety,

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Speaker 4: couple with let's call it human understanding powered by AI,

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Speaker 4: they open these intersections that we haven't thought about. Right,

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00:28:55,000 --> 00:28:58,520
Speaker 4: Maybe when we get the next version of your routing

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00:28:58,840 --> 00:29:01,440
Speaker 4: on your GPS, when you pull it in your phone,

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00:29:01,680 --> 00:29:04,920
Speaker 4: it's not going to say avoid toolls. It may say

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Speaker 4: bring my blood pressure down right. It may say let

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Speaker 4: me discover the place that I'm in. That's the thing

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Speaker 4: that really excites me is sure we'll use the tools

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00:29:16,160 --> 00:29:20,400
Speaker 4: to make sure we tackle the technical so that we

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Speaker 4: can deliver the experiential.

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Speaker 3: Okay, Finally, I like to sort of wrap it up

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Speaker 3: with some ethical type questions. We talked a little bit

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Speaker 3: about data privacy and user privacy. You do work with

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Speaker 3: a lot of local governments and local municipalities. I'd like

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Speaker 3: to get your thoughts on how do we strike that

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Speaker 3: balance or even if indeed there is a balance, or

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00:29:40,920 --> 00:29:46,080
Speaker 3: should be just ensure by default that it users privacy

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Speaker 3: is sacrisanct.

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00:29:47,760 --> 00:29:51,360
Speaker 2: First, I mean, obviously, even with the data collected, we

457
00:29:51,520 --> 00:29:55,960
Speaker 2: have to honor the PII restrictions and other things that

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00:29:56,080 --> 00:30:00,560
Speaker 2: exist in our country and certainly respect that right privacy.

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

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00:30:04,080 --> 00:30:09,440
Speaker 2: that's gathered is not to identify details of an individual.

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00:30:09,800 --> 00:30:14,920
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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00:30:20,720 --> 00:30:25,200
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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00:30:33,960 --> 00:30:37,520
Speaker 2: the safety and performance of these types of platforms and

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00:30:38,000 --> 00:30:42,240
Speaker 2: work within obviously the respected boundaries that we all have.

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Speaker 3: For audience, Can you just define the PII? Sure?

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Speaker 4: It's personally identifiable data, usually a collection of things that

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00:30:50,400 --> 00:30:53,080
Speaker 4: can allow you to identify a personal like, for example,

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00:30:53,440 --> 00:30:58,120
Speaker 4: your name, your address, your telephone number, and in some

472
00:30:58,200 --> 00:31:02,480
Speaker 4: other cases things like your biometrics like your face, or

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00:31:02,720 --> 00:31:06,840
Speaker 4: other things that are uniquely attachable to you. I mean,

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00:31:06,920 --> 00:31:10,920
Speaker 4: other environments and other users of data I think have

475
00:31:11,000 --> 00:31:15,360
Speaker 4: a much tougher situation because they have to deal with

476
00:31:16,040 --> 00:31:19,480
Speaker 4: personally identifiable data to conduct your business because who you

477
00:31:19,560 --> 00:31:23,720
Speaker 4: are is critically important to how they deliver the service.

478
00:31:23,840 --> 00:31:28,120
Speaker 4: It's not yet for what we do, and by just

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00:31:28,200 --> 00:31:31,400
Speaker 4: not collecting the data and then making sure we have

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00:31:31,480 --> 00:31:35,560
Speaker 4: no opportunity to actually look at one individual, only collective data.

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Speaker 4: We put ourselves in a situation that we are not

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Speaker 4: infringing into people's identities or privacy.

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Speaker 3: That's good to know. Thanks Joan one for your time today.

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Speaker 3: It was really great talking to you and I've learned

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Speaker 3: a lot.

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Speaker 4: Thank you, Graham.

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00:31:52,680 --> 00:31:54,160
Speaker 2: Yeah, thanks very much. Enjoyed it.

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Speaker 3: I would like to thank my guests Joe and Juan

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00:32:01,040 --> 00:32:04,160
Speaker 3: Santos for joining me on this episode of Technically Speaking,

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00:32:04,280 --> 00:32:08,560
Speaker 3: an Intel podcast. I gained significant insights from my guests

491
00:32:08,560 --> 00:32:11,400
Speaker 3: today and I hope you found it enlightening as well.

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Speaker 3: My primary realization is that AI and technology have the

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00:32:14,440 --> 00:32:18,480
Speaker 3: power to shape and nurture local communities. I'm always inspired

494
00:32:18,480 --> 00:32:21,880
Speaker 3: by grassroots solutions as opposed to overarching, top down strategies.

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00:32:22,320 --> 00:32:25,800
Speaker 3: Both Joe and Ie emphasize the criticality of data privacy

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00:32:26,160 --> 00:32:29,960
Speaker 3: and the necessity to protect users' personal details, particularly since

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00:32:30,000 --> 00:32:32,800
Speaker 3: they are working with local governments and agencies. On a

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00:32:32,840 --> 00:32:35,880
Speaker 3: technical front, it's evident that BEEP is adapting and evolving

499
00:32:35,920 --> 00:32:39,680
Speaker 3: in its approach to autonomous vehicles. Currently, their shuttle models

500
00:32:39,680 --> 00:32:43,320
Speaker 3: are facilitated by attendants, but the trajectory suggests that in

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00:32:43,360 --> 00:32:47,480
Speaker 3: a few years, these shuttles might operate autonomously with minimal supervision.

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00:32:47,920 --> 00:32:51,440
Speaker 3: Watching this transformation unfold is genuinely and exciting. While it's

503
00:32:51,480 --> 00:32:54,479
Speaker 3: easy to be captivated by new technology, and I'm no exception,

504
00:32:55,040 --> 00:32:58,200
Speaker 3: it's crucial to prioritize the user experience and the tangible

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00:32:58,200 --> 00:33:02,080
Speaker 3: benefits it brings to enriching lives from the Roman aqueducts

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00:33:02,280 --> 00:33:05,960
Speaker 3: to present day innovations. It's the relentless drive and commitment

507
00:33:05,960 --> 00:33:08,680
Speaker 3: of visionaries like Joe and Juan that propel us forward.

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00:33:09,160 --> 00:33:11,840
Speaker 3: With a touch of luck and their pioneering spirit, we

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00:33:11,920 --> 00:33:13,920
Speaker 3: may soon pave the way for a future that would

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00:33:13,960 --> 00:33:18,760
Speaker 3: leave even the Jetsons and all. Please join us on Tuesday,

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00:33:18,800 --> 00:33:21,600
Speaker 3: December twelfth for the next episode, when we will learn

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00:33:21,640 --> 00:33:25,360
Speaker 3: about how Intel's AI for Workforce program is making learning

513
00:33:25,400 --> 00:33:31,840
Speaker 3: AI more accessible. Technically Speaking was produced by Ruby Studios

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00:33:31,840 --> 00:33:34,960
Speaker 3: from iHeartRadio in partnership with Intel and hosted by me

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00:33:35,160 --> 00:33:39,440
Speaker 3: Graham Class. Our executive producer is Moley Sosha, our EP

516
00:33:39,600 --> 00:33:42,880
Speaker 3: of Post Production is James Foster, and our supervising producer

517
00:33:43,080 --> 00:33:47,120
Speaker 3: is Nikkia Swinton. This episode was edited by Cira Spreen

518
00:33:47,480 --> 00:33:59,680
Speaker 3: and written and produced by Tiree Rush. Where do world

519
00:33:59,720 --> 00:34:02,960
Speaker 3: change ideas get their start? At Intel? It starts with

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00:34:03,080 --> 00:34:07,880
Speaker 3: real solutions, and real solutions start with exceptional engineering, the

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00:34:07,960 --> 00:34:11,840
Speaker 3: quantum computing revolution, the next generation of AI experts, the

522
00:34:11,920 --> 00:34:16,320
Speaker 3: renewable energy grid, liquid cooling, data centers, early diagnosis for cancer,

523
00:34:16,480 --> 00:34:20,440
Speaker 3: water restoration, and even farmland protection. The examples are countless,

524
00:34:20,680 --> 00:34:23,880
Speaker 3: the impacts are endless, but the foundation is always the same.

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00:34:24,120 --> 00:34:28,000
Speaker 3: It starts with Intel. Join us in redefining what's achievable

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00:34:28,120 --> 00:34:31,040
Speaker 3: through the power of AI. Learn more at Intel dot

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00:34:31,080 --> 00:34:32,400
Speaker 3: com slash Stories.