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<v Speaker 1>Ah, the information economy has a ride.

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<v Speaker 2>The world is teeming with innovation as new business models

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<v Speaker 2>reinvent every industry industry. Inside Analysis is your source of

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<v Speaker 2>information and insight about how to make the most of

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<v Speaker 2>this exciting new era. Learn more at inside analysis dot com,

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<v Speaker 2>insideanalysis dot com. And now here's your host, Eric Kavanaugh.

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<v Speaker 3>All Right, ladies and gentlemen, Hello, and welcome back to

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<v Speaker 3>the only nationally syndicated show all about the information economy.

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<v Speaker 3>It's called Inside Analysis. Your truly Eric Kavanaugh, and I'm

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<v Speaker 3>very excited to be talking about one of the hottest

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<v Speaker 3>topics out there. Who doesn't love a fun race car?

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<v Speaker 3>Who doesn't love a software defined vehicle?

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<v Speaker 1>What is that?

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<v Speaker 3>What is a software defined vehicle? We're going to find

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<v Speaker 3>out on the show today with a couple of experts.

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<v Speaker 3>We've got Michael Franz from FPT calling in and also

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<v Speaker 3>Florian Rhade who is with a company called Process. He

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<v Speaker 3>used to work at Tesla, so he's done some cool stuff.

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<v Speaker 3>He's out there in Las Vegas, so you know he's

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<v Speaker 3>having fun. I mean, we live in Vegas. I mean,

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<v Speaker 3>come on, it's twenty four to seven fund all the time.

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<v Speaker 3>So we're going to talk about what's happening in the

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<v Speaker 3>world of vehicles, and I think this is fascinating. I'm

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<v Speaker 3>an old timer, so I had cars where you had

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<v Speaker 3>to roll up the windows. You know, there's something special

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<v Speaker 3>about that. If the fuse breaks, you could still roll

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<v Speaker 3>the window down, so that's nice. But other than that,

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<v Speaker 3>we like to have automatic windows and automatic gosh darn

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<v Speaker 3>everything these days. I mean, the amount of innovation in

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<v Speaker 3>this space is really quite remarkable. And obviously Elon Musk

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<v Speaker 3>had something to do with that. Not everything, but he

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<v Speaker 3>had something to do with it. And our guests are

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<v Speaker 3>going to help us understand what is going on out there.

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<v Speaker 3>So maybe Florian, I'll start with you. Tell us a

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<v Speaker 3>bit about yourself and your company and how you got

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<v Speaker 3>all into software divined vehicles.

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<v Speaker 1>Yeah, thank you, Eric, and you got that right with Vegas.

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<v Speaker 1>It's twenty four seven fun all the time. I've been

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<v Speaker 1>in the automotive world for about twenty years now, and

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<v Speaker 1>the most interesting window that started in twenty twelve when

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<v Speaker 1>I joined a small company called Tesla Motors. It was

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<v Speaker 1>a very small it was about two thousand people in

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<v Speaker 1>the world, and we started building those cars. We never

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<v Speaker 1>called them sdvs or software defined vehicles. We just decided,

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<v Speaker 1>let's build a card the way we think a car

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<v Speaker 1>should be from here on forward. And it turns out

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<v Speaker 1>then at one point the industry labeled that SDVS. So

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<v Speaker 1>I was at that company for six years almost and

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<v Speaker 1>it was responsible for all the validation, so the testing

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<v Speaker 1>of the software before it goes out of the development

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<v Speaker 1>into the hands of the final of the end customers.

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<v Speaker 1>And we signed off over seven hundred software releases in

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<v Speaker 1>this six years. So it's a huge amount of software

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<v Speaker 1>we got out. And yes, let me just pick up

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<v Speaker 1>real quick with your window lifters, because electric windows are

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<v Speaker 1>not SDV features, just to take that out of their way.

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<v Speaker 1>There's EE features. That's the last generation of cars somewhere

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<v Speaker 1>started in the early eighties, and we see that currently

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<v Speaker 1>still out there. So those are actuated systems and they're

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<v Speaker 1>controlled by microprocessors. Sdvs go one step further where you

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<v Speaker 1>actually have a feature rich, updatable and upgradeable vehicle that

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<v Speaker 1>is continuously improving at least, so it is the plan

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<v Speaker 1>for the future from here on.

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<v Speaker 3>Yeah, that's really interesting stuff. And you can you can

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<v Speaker 3>adjust any number of things in that operating system, right

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<v Speaker 3>because it's got a computer. I mean, lots of cars

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<v Speaker 3>have had computers for a number of years, but not

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<v Speaker 3>a very sophisticated computer. And this one is even more

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<v Speaker 3>sophisticated than any of the ones that have come before it.

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<v Speaker 3>Can you kind of walk us through what goes in there?

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<v Speaker 3>What kinds of things can you update? Is it how

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<v Speaker 3>the car is running? I mean you're actually affecting fuel,

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<v Speaker 3>oxygen levels or something. Get into the details for us.

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<v Speaker 1>So the cool thing is you actually already talk about

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<v Speaker 1>the next generation of SDV. So what we see currently

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<v Speaker 1>is that you actually have the controllers, the computers in

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<v Speaker 1>the car working together. This is the first generation of

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<v Speaker 1>an SDV, so you still have distributed computers in the car,

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<v Speaker 1>only one, but they are starting to work on things together.

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<v Speaker 1>So you have features and functionalities that are provided by

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<v Speaker 1>several computers in together. And I have a very simple

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<v Speaker 1>example from my Tesla times when they came up with

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<v Speaker 1>a feature that you can use your microphone from your

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<v Speaker 1>Bluetooth speaker set to talk to the people outside of

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<v Speaker 1>the car through the pedestrian speaker wanting speaker. So those

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<v Speaker 1>systems were never designed to work together, and those systems

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<v Speaker 1>were never interconnected with each other, but with software defined

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<v Speaker 1>vehicle functionality, they were actually able to make them work

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<v Speaker 1>together if that feature is really necessary, not as a

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<v Speaker 1>different question, but they make them make them work together

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<v Speaker 1>and provided an over the air software update similar to

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<v Speaker 1>what you know from your cell phone into the car

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<v Speaker 1>to offer you that new feature. The next generation will

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<v Speaker 1>be what we call HPC, so high performance computers, which

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<v Speaker 1>you can basically assume it is like a central computer

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<v Speaker 1>from this some logistics in the car. That is probably

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<v Speaker 1>going to be more like to one in the front

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<v Speaker 1>and one in the rear of the car because of

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<v Speaker 1>the harness and the wiring issues, but in general that

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<v Speaker 1>will be the next thing, and you can in very

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<v Speaker 1>very simplified ways. You can think about your four eighty

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<v Speaker 1>six IBM computer where you had to put all the

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<v Speaker 1>stuff together that it works to your laptop you're probably

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<v Speaker 1>looking into right now that is out of the box,

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<v Speaker 1>and you know you have shared memory between the graphics

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<v Speaker 1>driver and the hot drive and the process on this

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<v Speaker 1>kind of stuff. So that is in a very simplified

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<v Speaker 1>way where we are going.

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<v Speaker 3>Yeah, and a lot of the features do revolve around safety,

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<v Speaker 3>right like on keeping you in your lanes, alerting you

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<v Speaker 3>doing things of this nature. And I think there's been

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<v Speaker 3>a lot of advancement in the last few years of

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<v Speaker 3>identifying what is a bicycle nearby, what's a car coming

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<v Speaker 3>at me? What are these things? Because obviously the car

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<v Speaker 3>has to identify this and then act in real time.

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<v Speaker 3>You can't be you know, can't wait for an overnight

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<v Speaker 3>update when something's coming at you, right.

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<v Speaker 4>Yeah.

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<v Speaker 1>And one of the reasons is because the compute in

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<v Speaker 1>cars is growing significantly. So what the features you just mentioned,

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<v Speaker 1>They need a lot of compute power in order to

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<v Speaker 1>do the vision and the perception and then the reaction

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<v Speaker 1>based on that. And we see this catching up in cars.

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<v Speaker 1>You have seen much higher compute power already in domestic

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<v Speaker 1>appli and applications like computers and so on. But cars

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<v Speaker 1>is a little different, beast, because they can be outside

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<v Speaker 1>at minus forty degrees celsius and they can be outside

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<v Speaker 1>at at here in Vegas we topped out at forty

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<v Speaker 1>seven degrees celsius one hundred and seventeen fahrenheit I believe,

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<v Speaker 1>so your cell phone will not work in either of

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<v Speaker 1>those conditions. So this is why the car industry is

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<v Speaker 1>a little behind. And this is maybe where Mike can

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<v Speaker 1>chip in a little bit from punintended from the chip

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<v Speaker 1>side of things, because it takes a little bit longer

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<v Speaker 1>to make those high performance compute chips ready for those

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<v Speaker 1>environments cars are used in.

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<v Speaker 3>Yeah, that's a good point. I did some work with

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<v Speaker 3>the Electric Racing Association over in Europe a couple of

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<v Speaker 3>years ago. It was a lot of fun. I mean,

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<v Speaker 3>those electric cars are super fast, and the young kid,

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<v Speaker 3>the driver, who is such a neat guy he had

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<v Speaker 3>he gave me the headline with the article. He said,

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<v Speaker 3>we have all the torque all the time. I was like, oh,

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<v Speaker 3>that's the headline right there. And he's such a wonderful man.

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<v Speaker 3>But I learned that there was a race in Spain

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<v Speaker 3>where where they had to cancel it because it was

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<v Speaker 3>too darn hot and the vehicles just wouldn't run. So

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<v Speaker 3>I'll throw it over to Michael. The real world can

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<v Speaker 3>be brutal out there from heat to cold. I mean,

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<v Speaker 3>you're in the Detroit area.

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<v Speaker 4>In Michigan, so yeah, we're kind of about to start

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<v Speaker 4>going through some things. And yeah, Eric, you're right. The

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<v Speaker 4>vehicle environment is not monolithic. It's not in an air

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<v Speaker 4>conditioned environment. Ninety eight percent of the time, we have

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<v Speaker 4>various applications and conditions that are that the vehicles we

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<v Speaker 4>know and love have to operate in. That's why for

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<v Speaker 4>years manufactures of tested in arctic conditions, they're tested in

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<v Speaker 4>desert conditions, because they have to make sure that the

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<v Speaker 4>that the integrator of the vehicle and everything that's in

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<v Speaker 4>it can operate in a multitude of environments before it

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<v Speaker 4>goes on the road. It's it's not good enough to

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<v Speaker 4>launch it worth an application and so okay, well we'll

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<v Speaker 4>worry about that future or feature set in the next update,

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<v Speaker 4>in the next after ninety deaths, it's difficult to operate

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<v Speaker 4>in those environments like that, and and of course that's

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<v Speaker 4>where that's where the adeation meets the reality oftentimes in

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<v Speaker 4>the automotive industry, where where you can you can market

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<v Speaker 4>and position a product or a brand in a certain

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<v Speaker 4>in a certain way, and then the regular does have

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<v Speaker 4>to come in and say, well, guys, this is actually

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<v Speaker 4>what you've got, and this is why we classify it

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<v Speaker 4>as X Y Z right. And that's important because at

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<v Speaker 4>the end of the day, it's still a three ton

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<v Speaker 4>weapon in the wrong hands and needs to operate in

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<v Speaker 4>a very safe condition and of course, the more we

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<v Speaker 4>expose h cos to software, the more we have to

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<v Speaker 4>secure them because this is this this becomes the next

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<v Speaker 4>problem because as you open and expose yourself to the technology,

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<v Speaker 4>so you open and expose your product and your service

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<v Speaker 4>to bad actors around the planet. And again, not all

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<v Speaker 4>vehicles are created equal, right uh, and thever will be there,

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<v Speaker 4>there will be there will be manufacturers who will launch

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<v Speaker 4>soft and defined vehicle technologies that are not as secure

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<v Speaker 4>as everybody else's. And I'll give you a classic example

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<v Speaker 4>right from from wayback, the Volve passenger car brand. When

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<v Speaker 4>I say Vulbert, most people think of safety, and it

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<v Speaker 4>would take an extraordinary amount of money for any other

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<v Speaker 4>OEM to ever go and climb that mountain and say

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<v Speaker 4>we're safer than a Volve that that people just don't

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<v Speaker 4>do it. It's the same around software development, right The manufacturers

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<v Speaker 4>that are SUSPI personally, the manufacturers that take care of

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<v Speaker 4>the security and the securitization of their product as they

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<v Speaker 4>launch their feature sets and software will ultimately win the

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<v Speaker 4>race because we will we will unfortunately, see something's happened

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<v Speaker 4>as as as this technology matures and goes into the industry.

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<v Speaker 3>Right well, and that is I mean, you bring up

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<v Speaker 3>an excellent point because you know and I often sit

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<v Speaker 3>and think about this stuff, security and protocols and technologies,

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<v Speaker 3>and of course the keybob comes along. And that's great

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<v Speaker 3>because you can find your car in a parking lot.

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<v Speaker 3>But if you lose your keybob, so can the bad guy.

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<v Speaker 3>If you describe your keybob and walk around the park

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<v Speaker 3>and I go beepep up there it is I go

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<v Speaker 3>steal that pull.

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<v Speaker 4>We all know that the nightmare stories already of things

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<v Speaker 4>like key fobs that are that are not secured in

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<v Speaker 4>the security code hopping where we're bad at this can

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<v Speaker 4>can jam the signals, copy them and then open your

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<v Speaker 4>vehicle and drive right. This is not new. This has

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<v Speaker 4>been in the industry for many, many years, and it's

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<v Speaker 4>as the simplest function today. Pick the button, open the

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<v Speaker 4>vehicle right or lock the vehicle and proximity to the

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<v Speaker 4>vehicle full timelindow. All of those things really present a risk,

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<v Speaker 4>and that's no technology right. So we have to we

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<v Speaker 4>have to take care of all of these things in

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<v Speaker 4>a responsible way, and we have to take care of

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<v Speaker 4>it in a multitude of places and times and locations.

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<v Speaker 4>And geographies, and technology stacks and things like mobile networks

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<v Speaker 4>that run on different frequencies. The vehicles have to talk

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<v Speaker 4>on multiple frequencies in different geolocations to the back end

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<v Speaker 4>and from the back end to itself. So it's it's

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<v Speaker 4>it's a complex world, and we have and manufacturers and

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<v Speaker 4>the Tier one partners have a responsibility to look after

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<v Speaker 4>the vehicles that are already on the road for a

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<v Speaker 4>number of years, and they have to play for the

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<v Speaker 4>future at the same time. So it's a huge responsibility idea.

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<v Speaker 3>Yeah, that's a really good point because you do have

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<v Speaker 3>this entire arc of legacy vehicles out there. I mean,

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<v Speaker 3>you've got cars from the nineteen forty still driving around.

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<v Speaker 4>And the reality, the reality on the road is today

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<v Speaker 4>in America, the average vehicle is twelve points something years old.

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<v Speaker 4>People are keeping the year their cars longer and longer

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<v Speaker 4>because affordability is an issue, you know, the economic climate's

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<v Speaker 4>an issue, right, we have to acknowledge these things. We

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<v Speaker 4>must push forward. But the reality on the ground is

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<v Speaker 4>that the vehicles we even introduce today are probably going

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<v Speaker 4>to be around for more than ten years, and somebody

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<v Speaker 4>has to take care of all of that technology stack

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<v Speaker 4>as it goes forward, you know the in it we

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<v Speaker 4>talk about technical debt in terms of in terms of

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<v Speaker 4>aging infrastructure and aging technologies. I believe that the industry

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<v Speaker 4>will needs to take care of the of the when

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<v Speaker 4>you say technical deat of today's vehicles twelve years from now,

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<v Speaker 4>because the vehicle in twelve years from now will look

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<v Speaker 4>very different to what it is today.

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<v Speaker 3>Well, and that's I would sorry, I would argue I'm

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<v Speaker 3>more afraid of the vehicles of last year than I'm

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<v Speaker 3>afraid of the vehicles from thirteen years.

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<v Speaker 1>Ago from security point of view.

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<v Speaker 4>Because absolutely, that's why my car that I owe, not lease,

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<v Speaker 4>is genious.

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<v Speaker 1>Yes, So it's as soon as the vehicles start to

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<v Speaker 1>become a member and a participant at communication that goes around,

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<v Speaker 1>like we call this V two X or a vehicle

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<v Speaker 1>to everything or vehicle to vehicle v t V. This

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<v Speaker 1>is where security actually has to go a whole level

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<v Speaker 1>up because my vehicle can now tell Mike's vehicle to

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<v Speaker 1>slim the brakes for a variety of reasons, and if

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<v Speaker 1>I have an malicious attack planned on Mike, I can

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<v Speaker 1>just tell his car to stop. Obviously, this is a

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<v Speaker 1>very simplified example and It is not that easy. But

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<v Speaker 1>there are those things, and it is the fact that

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<v Speaker 1>this technology is out there is Mike mentioned, and it's

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<v Speaker 1>available not only for car makers, it's also available for

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<v Speaker 1>people who have bad ideas around cars. So I would

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<v Speaker 1>even argue they are ahead from the technology point of

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<v Speaker 1>view compared to the carmakers and OEMs right now from

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<v Speaker 1>security point of view.

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<v Speaker 3>Wow, that's interesting. And you know, you remind me of

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<v Speaker 3>something that I think is quite fascinating because these cars

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<v Speaker 3>are instrumented, and so you're gathering data from various points

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<v Speaker 3>like the break and the engine in other places like that.

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<v Speaker 3>I'm guessing that is incredibly valuable data for the next

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<v Speaker 3>generation of car design, right for being able to optimize

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<v Speaker 3>the wheels or the drive train or whatever the case

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<v Speaker 3>may be. Having that just massive treasure trove of data

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<v Speaker 3>coming in from the vehicles that's got to be fun

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<v Speaker 3>to work with, right.

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<v Speaker 4>Yeah.

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<v Speaker 1>So the fact is that as an engineer, you only

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<v Speaker 1>know that you if you underdesigned your product, if you

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<v Speaker 1>overdesigned it, you never know because it will never come

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<v Speaker 1>back to you.

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<v Speaker 4>Right.

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<v Speaker 1>So they come back to service when something breaks, but

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00:14:34.360 --> 00:14:36.120
<v Speaker 1>if they never come back to service, you don't know.

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<v Speaker 1>If you reached ninety nine percent of the capability over

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<v Speaker 1>lifetime or one percent, and one percent is a nightmare

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<v Speaker 1>because that means you completely overpaid the development of that product.

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<v Speaker 1>And we had at Tesla, we had those situations where

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<v Speaker 1>we actually looked at the data and we actively took

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<v Speaker 1>that information into consideration for cost downs and for next

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<v Speaker 1>generation vehicles, to not only make those things that broke

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<v Speaker 1>more sturdy and better for the next generation, but also

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00:15:00.919 --> 00:15:03.720
<v Speaker 1>make those things that were completely overdesigned and therefore also

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00:15:03.759 --> 00:15:07.919
<v Speaker 1>probably too heavy light more lightweight and better suited for

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<v Speaker 1>electric vehicles. But I have to say as well, depends

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<v Speaker 1>on where you are in the world. There's huge discussions

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<v Speaker 1>who owns that data. Is it the owner of the

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<v Speaker 1>car who creates that data by driving the car. Is

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<v Speaker 1>it the maker of the car, who you know, collects

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<v Speaker 1>the data in your car. Is it maybe a mixture

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<v Speaker 1>of that. So that has not concluded yet that discussion.

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<v Speaker 4>And Florin has been a great engineer by saying, you

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00:15:31.919 --> 00:15:34.279
<v Speaker 4>want to collect all the data all the time, of course,

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00:15:34.600 --> 00:15:37.600
<v Speaker 4>and of course I always count to that by saying

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<v Speaker 4>and right now, because we're building it out and we're

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<v Speaker 4>discovering new things. The engineers are driving that push for data.

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<v Speaker 4>How much of that data is really needed when the

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<v Speaker 4>vehicle is launched, Right, at what point do we have

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<v Speaker 4>to say, well, not every thing is that needs to

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<v Speaker 4>be available real time live. Certain things have to be

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<v Speaker 4>other things can may be stored and up later because

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<v Speaker 4>at the moment the amount of data is exponentially ten

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<v Speaker 4>xing the more the more technology put in the vehicles,

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00:16:09.519 --> 00:16:13.759
<v Speaker 4>and the more the it's algorithm based in in terms

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<v Speaker 4>of what are the performance of the vehicle, you know,

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<v Speaker 4>et cetera.

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<v Speaker 1>So AND's a there's a very simple example because the

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<v Speaker 1>car communicates the exterior temperature with one hundred hertz inside

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<v Speaker 1>the car, but you don't have changes in the temperature

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<v Speaker 1>within milliseconds, so you don't really have to collect that

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<v Speaker 1>data on a ten millisecond base, right, every ten minutes

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00:16:33.759 --> 00:16:36.200
<v Speaker 1>is enough. That's a very simple example. Everybody can grasp.

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<v Speaker 3>No, that's a good point. And you know we're coming

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00:16:39.799 --> 00:16:41.200
<v Speaker 3>up on the end of this first second here in

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<v Speaker 3>just a minute. But what I think is really fascinating

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00:16:44.480 --> 00:16:48.440
<v Speaker 3>is the whole design process and how all these different

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<v Speaker 3>parts have to come together. And so you talk about

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<v Speaker 3>something having been over engineered or it's too heavy, or

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<v Speaker 3>it's too expensive. You know, these days, we're getting to

332
00:16:57.360 --> 00:17:01.000
<v Speaker 3>the point where you really can map out and understand

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00:17:01.039 --> 00:17:03.679
<v Speaker 3>how much time it took to build this part or

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00:17:03.679 --> 00:17:07.000
<v Speaker 3>that part, what the parts cost themselves. My point is like,

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00:17:07.319 --> 00:17:10.480
<v Speaker 3>we're so much better today than we were probably even

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00:17:10.519 --> 00:17:13.039
<v Speaker 3>twenty years ago in terms of being able to really

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<v Speaker 3>understand what is the total cost of ownership, what is

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00:17:16.200 --> 00:17:18.200
<v Speaker 3>the cost of all the personnel who went into the

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00:17:18.240 --> 00:17:20.880
<v Speaker 3>design phase to get us to this next stage? And

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<v Speaker 3>how do you prioritize That's what I'd love to understand

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00:17:24.039 --> 00:17:27.319
<v Speaker 3>is as you as you roll out one one car,

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00:17:27.480 --> 00:17:31.039
<v Speaker 3>the twenty twenty five version, I'm sure immediately the engineers

343
00:17:31.119 --> 00:17:33.920
<v Speaker 3>are already thinking to the twenty twenty six version, you know,

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<v Speaker 3>what should we change for that? Do weeople want more

345
00:17:37.519 --> 00:17:40.200
<v Speaker 3>do they want a better gas mileage? Do they want

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00:17:40.240 --> 00:17:40.960
<v Speaker 3>better comfort?

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00:17:41.079 --> 00:17:41.240
<v Speaker 4>You know?

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00:17:41.279 --> 00:17:45.519
<v Speaker 3>And then knowing like how to compartmentalize all that stuff,

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<v Speaker 3>that's got to be a fascinating series of meetings and

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<v Speaker 3>discussions and decisions that are made to determine you have

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<v Speaker 3>to hit certain deadlines and okay, this is why it's

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<v Speaker 3>going to be for next time. Well, folks, don't touch

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<v Speaker 3>that that'll be right back by a fantastic conversation about

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<v Speaker 3>software divined vehicles. You're listening to Inside Analysis.

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00:18:01.519 --> 00:18:06.680
<v Speaker 5>Inspired what's the longest running show in the world about data,

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00:18:07.039 --> 00:18:10.400
<v Speaker 5>DM Radio. Since February of two thousand and eight, DM

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<v Speaker 5>Radio has broadcast each week bringing you the brightest minds

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<v Speaker 5>of the information economy. From artificial intelligence to big data,

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426
00:21:52.400 --> 00:21:58.000
<v Speaker 11>see Dash sixty dot com. That's ce Dash sixty dot com.

427
00:21:58.200 --> 00:22:05.680
<v Speaker 11>Gresca's Carbon sixty go to Sea sixty dot com.

428
00:22:04.319 --> 00:22:12.079
<v Speaker 2>Welcome back to Inside Analysis. Here's your host, Eric Tabanac.

429
00:22:14.759 --> 00:22:17.400
<v Speaker 3>All right, folks, back here on Inside Analysis, talking all

430
00:22:17.440 --> 00:22:21.440
<v Speaker 3>things software divined vehicles. We've got Michael Franz on the

431
00:22:21.480 --> 00:22:25.720
<v Speaker 3>line from FPT and Florian Road from IE Process and

432
00:22:26.000 --> 00:22:28.720
<v Speaker 3>we're just chit chatting about what goes into all this.

433
00:22:28.839 --> 00:22:32.160
<v Speaker 3>The decision making process and decoupling came up as a

434
00:22:32.160 --> 00:22:34.160
<v Speaker 3>as a key topic to dive into, so I'll throw

435
00:22:34.160 --> 00:22:38.039
<v Speaker 3>it over to Florian first. When you say decoupling software

436
00:22:38.039 --> 00:22:39.200
<v Speaker 3>from hardware, what do you mean by that?

437
00:22:39.400 --> 00:22:43.759
<v Speaker 1>So originally cars were designed mechanical, electrical, and software, and

438
00:22:43.759 --> 00:22:45.920
<v Speaker 1>this all came together to what we call SOP the

439
00:22:45.960 --> 00:22:48.920
<v Speaker 1>start of production, and then you basically deliver that car

440
00:22:49.119 --> 00:22:51.279
<v Speaker 1>to you know, the dealerships. They start selling that for

441
00:22:51.319 --> 00:22:54.000
<v Speaker 1>a couple of years and you and your engineering team

442
00:22:54.119 --> 00:22:57.279
<v Speaker 1>in all those three branches start over for the next

443
00:22:57.319 --> 00:23:03.039
<v Speaker 1>generation and continueually. At Tesla we started this decoupling completely,

444
00:23:03.119 --> 00:23:07.000
<v Speaker 1>so the new vehicles are inheriting the software of the

445
00:23:07.000 --> 00:23:09.319
<v Speaker 1>other vehicles. So basically what you see out there in

446
00:23:09.319 --> 00:23:12.359
<v Speaker 1>Tesla is one software platform that okay, it's a little

447
00:23:12.359 --> 00:23:14.880
<v Speaker 1>bit of configuration is different per car, but in general

448
00:23:14.920 --> 00:23:17.319
<v Speaker 1>there's one software platform that runs on all their cars,

449
00:23:17.319 --> 00:23:20.519
<v Speaker 1>so it's decoupled from the actual version of the car.

450
00:23:20.559 --> 00:23:22.799
<v Speaker 1>So a Model ass and a Model three is technically

451
00:23:22.839 --> 00:23:26.319
<v Speaker 1>the same software with certain varieties in there. And so

452
00:23:26.440 --> 00:23:29.359
<v Speaker 1>like this, when your car gets into a next generation,

453
00:23:29.640 --> 00:23:32.839
<v Speaker 1>from mechanical point of view, your software is actually not

454
00:23:33.119 --> 00:23:36.480
<v Speaker 1>waiting those four years for that. It's continuously evolving and

455
00:23:36.640 --> 00:23:39.799
<v Speaker 1>is then applied to new platforms that are going out.

456
00:23:40.000 --> 00:23:42.160
<v Speaker 1>So and therefore it's the software and the hardware is

457
00:23:42.160 --> 00:23:43.279
<v Speaker 1>decoupled from each other.

458
00:23:43.400 --> 00:23:46.839
<v Speaker 4>That's greatl and Eric just just the layer on top

459
00:23:46.839 --> 00:23:49.319
<v Speaker 4>of that. We used to have in this industry an

460
00:23:49.359 --> 00:23:51.720
<v Speaker 4>eight to ten year window of a vehicle, and round

461
00:23:51.720 --> 00:23:54.960
<v Speaker 4>about four or five years you get a midlife cycle

462
00:23:55.039 --> 00:23:58.000
<v Speaker 4>impulse or a mid life cycle update with the manufacture

463
00:23:58.000 --> 00:24:00.119
<v Speaker 4>which changes the front bumpers. They change the light a

464
00:24:00.119 --> 00:24:02.039
<v Speaker 4>little bit on the outside. You may get a couple

465
00:24:02.039 --> 00:24:05.559
<v Speaker 4>of pain configurations, maybe one or two more interiors, and

466
00:24:05.599 --> 00:24:08.039
<v Speaker 4>instead of the last year or two of that vehicle,

467
00:24:08.119 --> 00:24:11.039
<v Speaker 4>you get the full house, right the manufacturer throw the

468
00:24:11.039 --> 00:24:13.000
<v Speaker 4>full month you hated, all the options you were paying

469
00:24:13.000 --> 00:24:15.400
<v Speaker 4>for before, and now built in because now they want

470
00:24:15.400 --> 00:24:17.960
<v Speaker 4>to move the metal and you suddenly you get the

471
00:24:17.960 --> 00:24:20.680
<v Speaker 4>best wheels and entire packages, You get the best engines,

472
00:24:20.720 --> 00:24:23.079
<v Speaker 4>and off it goes and they ride that vehicle into

473
00:24:23.079 --> 00:24:25.480
<v Speaker 4>the sunset. Because in the background, over the last eight

474
00:24:25.519 --> 00:24:28.079
<v Speaker 4>to ten years, the engineering and design teams have been

475
00:24:28.119 --> 00:24:30.880
<v Speaker 4>working on the new version right and suddenly you get

476
00:24:30.920 --> 00:24:34.000
<v Speaker 4>to the current situation in the market right now, where

477
00:24:34.039 --> 00:24:36.599
<v Speaker 4>the pressure is on and the OEMs have all turned

478
00:24:36.599 --> 00:24:39.160
<v Speaker 4>around inside themselves trying to figure out, how do we

479
00:24:39.200 --> 00:24:41.960
<v Speaker 4>get to release a vehicle in eighteen months from scratch

480
00:24:42.079 --> 00:24:45.440
<v Speaker 4>or a blank piece of paper because manufacturers in China

481
00:24:45.480 --> 00:24:47.200
<v Speaker 4>are doing it. How are they doing it? How is

482
00:24:47.240 --> 00:24:49.880
<v Speaker 4>this possible? And what Florida talks about into the decoupling

483
00:24:50.119 --> 00:24:52.640
<v Speaker 4>a software attack is exactly that they use the same

484
00:24:52.680 --> 00:24:57.839
<v Speaker 4>software platform. It's almost like using a software platform to

485
00:24:59.039 --> 00:25:02.119
<v Speaker 4>build a home appliance, and you can and you can

486
00:25:02.160 --> 00:25:04.680
<v Speaker 4>generate four or five brands or looking different, but they

487
00:25:04.720 --> 00:25:08.240
<v Speaker 4>all do essentially the same thing. This is the way

488
00:25:08.319 --> 00:25:11.680
<v Speaker 4>that the industry is moving, and this is causing pressure

489
00:25:11.720 --> 00:25:16.079
<v Speaker 4>in the market because in the industry, because the need

490
00:25:16.119 --> 00:25:19.559
<v Speaker 4>is accelerating to launch new product faster and faster at

491
00:25:19.640 --> 00:25:22.799
<v Speaker 4>lower cost, and based only on the fact that you

492
00:25:22.839 --> 00:25:25.119
<v Speaker 4>can redesign the shell in the vehicle basically and some

493
00:25:25.200 --> 00:25:28.720
<v Speaker 4>of the underpinnings and the performance, but the software driving

494
00:25:28.799 --> 00:25:32.599
<v Speaker 4>that vehicle is actually similar, very similar, ninety eight percent

495
00:25:32.640 --> 00:25:33.000
<v Speaker 4>copy in.

496
00:25:33.440 --> 00:25:35.759
<v Speaker 3>Yeah, that's that's very cool stuff. And I'm guessing that

497
00:25:35.799 --> 00:25:38.640
<v Speaker 3>you've got some good digital twin software out there, right

498
00:25:38.680 --> 00:25:41.200
<v Speaker 3>to design the new cars and to kind of test

499
00:25:41.240 --> 00:25:43.720
<v Speaker 3>them in a virtual world and see what happens.

500
00:25:43.440 --> 00:25:46.880
<v Speaker 4>Right, canors?

501
00:25:45.440 --> 00:25:49.880
<v Speaker 1>Yeah, Well, the term digital twin is used for actually

502
00:25:49.880 --> 00:25:53.079
<v Speaker 1>a variety of things, right, So there's no one digital twin.

503
00:25:53.319 --> 00:25:55.119
<v Speaker 1>So some people hear that and say, oh, this is

504
00:25:55.400 --> 00:25:57.960
<v Speaker 1>just like a simulated car. You can just like see

505
00:25:58.000 --> 00:26:00.839
<v Speaker 1>it through the three D you know, glass something like this.

506
00:26:01.119 --> 00:26:03.640
<v Speaker 1>But there's a variety of digital twins. There's much much

507
00:26:03.680 --> 00:26:06.599
<v Speaker 1>more simpler ways out there, where you just have certain

508
00:26:06.640 --> 00:26:09.519
<v Speaker 1>models or certain algorithms and you test them all the

509
00:26:09.559 --> 00:26:12.880
<v Speaker 1>way up to like packaging digital twins, where you figure

510
00:26:12.920 --> 00:26:15.440
<v Speaker 1>out can that seat move enough to the back without

511
00:26:15.599 --> 00:26:17.480
<v Speaker 1>you know, hitting the knees of the person behind you.

512
00:26:17.799 --> 00:26:22.400
<v Speaker 1>There's a very different digital twins. So they're very purpose built.

513
00:26:22.559 --> 00:26:25.079
<v Speaker 1>And the short answer to your question is yes, there's

514
00:26:25.119 --> 00:26:29.240
<v Speaker 1>a lot of software simulated parts or versions of that vehicle.

515
00:26:29.519 --> 00:26:31.960
<v Speaker 1>And I to go back to some anecdotes. I remember

516
00:26:32.119 --> 00:26:34.279
<v Speaker 1>it was long time ago, so ten years ago. I

517
00:26:34.279 --> 00:26:39.480
<v Speaker 1>saw Elon Musk with some Oculus rift thingy handing around

518
00:26:39.519 --> 00:26:41.200
<v Speaker 1>in the air, and so he was checking out the

519
00:26:41.240 --> 00:26:45.039
<v Speaker 1>Model X design in a virtual environment, and that we

520
00:26:45.319 --> 00:26:47.279
<v Speaker 1>couldn't see because he was just sitting in the middle

521
00:26:47.279 --> 00:26:49.920
<v Speaker 1>of the office and waving his arms around. So it

522
00:26:49.480 --> 00:26:51.960
<v Speaker 1>was hilarious. But this is where we are going, right,

523
00:26:52.039 --> 00:26:55.599
<v Speaker 1>So the the design and the packaging and all that

524
00:26:55.680 --> 00:26:58.440
<v Speaker 1>stuff that is going all virtual before it goes in

525
00:26:58.599 --> 00:27:03.039
<v Speaker 1>crash testing. We did crash testing ninety nine percent in simulation.

526
00:27:03.440 --> 00:27:06.079
<v Speaker 1>The first car, the first Model three. I believe that

527
00:27:06.200 --> 00:27:10.279
<v Speaker 1>crashed was at the crash test facility for the actual certification,

528
00:27:10.680 --> 00:27:13.240
<v Speaker 1>so we didn't crash any of that before and it

529
00:27:13.400 --> 00:27:17.319
<v Speaker 1>was spot on with the simulations. So in software. We're

530
00:27:17.359 --> 00:27:19.880
<v Speaker 1>actually doing this as well now, so we have software

531
00:27:19.960 --> 00:27:23.559
<v Speaker 1>environments virtual ECUs. It is one of the buzzwords this

532
00:27:23.680 --> 00:27:26.279
<v Speaker 1>year in the industry where you can test your software

533
00:27:26.359 --> 00:27:28.920
<v Speaker 1>without the hardware. And this is where it's getting really

534
00:27:28.960 --> 00:27:32.079
<v Speaker 1>important you integrate it with other pieces of software and

535
00:27:32.119 --> 00:27:34.920
<v Speaker 1>with other pieces of the car, because this is where

536
00:27:34.960 --> 00:27:38.400
<v Speaker 1>we see the most challenging challenges. It's getting more complex,

537
00:27:38.480 --> 00:27:42.759
<v Speaker 1>it's getting more fun and interesting, but integration is the

538
00:27:42.839 --> 00:27:45.359
<v Speaker 1>large challenge we are all facing. So simulation is helping

539
00:27:45.400 --> 00:27:46.079
<v Speaker 1>us a lot there.

540
00:27:46.319 --> 00:27:48.799
<v Speaker 4>Yeah, I'll give you another. I'll give you another ideaic.

541
00:27:49.640 --> 00:27:53.119
<v Speaker 4>Driver monitoring, right, there's a legislative push to get driver

542
00:27:53.279 --> 00:27:56.480
<v Speaker 4>monitoring more and more into vehicles going forward. This is

543
00:27:56.640 --> 00:28:00.920
<v Speaker 4>camera tech watching your eyes and and and the camera

544
00:28:01.000 --> 00:28:04.160
<v Speaker 4>can tell when you're getting drowsy based on certain tael

545
00:28:04.240 --> 00:28:07.079
<v Speaker 4>points better than any better than your your life partners

546
00:28:07.079 --> 00:28:08.599
<v Speaker 4>sitting in the in the in the seat based a

547
00:28:09.039 --> 00:28:12.599
<v Speaker 4>right that they're watching the speed of how you're blinking

548
00:28:12.640 --> 00:28:15.279
<v Speaker 4>your eyes, how long your eyes are closed in a blink,

549
00:28:15.759 --> 00:28:20.480
<v Speaker 4>and that's triggering the warning signals to to to pull

550
00:28:20.519 --> 00:28:23.640
<v Speaker 4>over and stop the vehicle right now. In order for

551
00:28:23.680 --> 00:28:26.599
<v Speaker 4>that to get tested, it would take hundreds of thousands

552
00:28:26.640 --> 00:28:29.079
<v Speaker 4>of hours of a guy or a girl behind the

553
00:28:29.079 --> 00:28:30.839
<v Speaker 4>wheel of a car driving around the pill they're literally

554
00:28:30.880 --> 00:28:34.920
<v Speaker 4>starting to pass out. Simulating that monitoring is a is

555
00:28:35.000 --> 00:28:38.200
<v Speaker 4>a deal breaker in terms of in terms of getting

556
00:28:38.200 --> 00:28:41.400
<v Speaker 4>that technology to get passed and implemented safety into vehicles.

557
00:28:41.640 --> 00:28:45.319
<v Speaker 4>And it's a it's a crass critical component, right, you

558
00:28:45.440 --> 00:28:46.680
<v Speaker 4>need to be able to have this, And I think

559
00:28:46.720 --> 00:28:49.279
<v Speaker 4>it's a fantastic idea that that the driver monitor is

560
00:28:49.279 --> 00:28:51.519
<v Speaker 4>not to monitor you and what you're doing. It's to

561
00:28:51.559 --> 00:28:53.880
<v Speaker 4>monitor that you're not pulling a steep behind the wheel.

562
00:28:54.599 --> 00:28:56.480
<v Speaker 4>And and if we have the capability to do that,

563
00:28:56.559 --> 00:28:58.839
<v Speaker 4>then for me, I believe those are those are features

564
00:28:58.880 --> 00:29:01.160
<v Speaker 4>and functions that are all great to him.

565
00:29:01.160 --> 00:29:03.039
<v Speaker 3>Well, and it is great, you know. It's like when

566
00:29:03.279 --> 00:29:05.839
<v Speaker 3>I go to the airport. Sometimes I get annoyed by

567
00:29:05.880 --> 00:29:08.359
<v Speaker 3>going through all the security stuff, but it's like the

568
00:29:08.440 --> 00:29:11.480
<v Speaker 3>argument is, hey, if we catch one person who was

569
00:29:11.519 --> 00:29:14.160
<v Speaker 3>trying to do something bad, it's worth all the effort.

570
00:29:14.200 --> 00:29:16.920
<v Speaker 3>It's the same in the car industry because let's fax

571
00:29:16.960 --> 00:29:18.680
<v Speaker 3>it man, Like you said, it's a two three thousand

572
00:29:18.720 --> 00:29:22.440
<v Speaker 3>pound weapon if it's not managed properly. And so that's

573
00:29:22.480 --> 00:29:25.640
<v Speaker 3>why these safety features are so valuable and so important,

574
00:29:26.000 --> 00:29:28.440
<v Speaker 3>and that's good stuff because you know, people they push

575
00:29:28.519 --> 00:29:30.880
<v Speaker 3>the envelope. I've been there myself. I'm driven longer than

576
00:29:30.880 --> 00:29:32.799
<v Speaker 3>I should have when I started getting tired trying to

577
00:29:32.839 --> 00:29:34.599
<v Speaker 3>make some hail, you know, while the sun is shining,

578
00:29:34.920 --> 00:29:36.920
<v Speaker 3>and then you get that little warning ding ding ding.

579
00:29:36.960 --> 00:29:39.119
<v Speaker 3>It's like, okay, I do need to pull over. That's

580
00:29:39.119 --> 00:29:40.799
<v Speaker 3>when life's like I told you, let's pull over.

581
00:29:41.480 --> 00:29:44.880
<v Speaker 1>Yeah, Eric, after one second, like yeah, Eric, I have

582
00:29:44.920 --> 00:29:46.880
<v Speaker 1>to give you a quick dose of reality. Our cars

583
00:29:46.920 --> 00:29:50.839
<v Speaker 1>are not two three thousand pounds double that oh wow.

584
00:29:51.799 --> 00:29:55.079
<v Speaker 4>And heavy because are the badges? Right? But Eric, I

585
00:29:55.119 --> 00:29:57.599
<v Speaker 4>think it's going to go further than just the coffee

586
00:29:57.599 --> 00:29:59.839
<v Speaker 4>cup on the dashboard right that, that's where it started.

587
00:30:00.039 --> 00:30:02.000
<v Speaker 4>You don't time to take a break because it's timing

588
00:30:02.039 --> 00:30:04.680
<v Speaker 4>how long you've actually been running in the vehicle. It's

589
00:30:04.680 --> 00:30:06.079
<v Speaker 4>going to it's going to get to a point where

590
00:30:06.079 --> 00:30:08.240
<v Speaker 4>the vehicle is going to going to take over you

591
00:30:08.279 --> 00:30:12.000
<v Speaker 4>aside and into a safety zone and switch off. Right.

592
00:30:12.960 --> 00:30:15.440
<v Speaker 4>Not because people ignore the safe round right, I mean

593
00:30:15.720 --> 00:30:19.119
<v Speaker 4>we have we have we have maximum speed limit signs

594
00:30:19.200 --> 00:30:21.440
<v Speaker 4>all over the place, and do people listen to it? No,

595
00:30:21.519 --> 00:30:23.359
<v Speaker 4>they don't. They're local it, they don't accept it. They

596
00:30:23.400 --> 00:30:25.839
<v Speaker 4>just do whatever they want to do. So so so

597
00:30:26.039 --> 00:30:28.920
<v Speaker 4>I think it's important, and I think it's even it's

598
00:30:29.079 --> 00:30:31.759
<v Speaker 4>it must be pervasive in the industry, that type of solutioning,

599
00:30:31.960 --> 00:30:36.119
<v Speaker 4>especially heavy duty trucks. You know, we move seventy odd

600
00:30:36.160 --> 00:30:40.519
<v Speaker 4>percent of our freak by road in North America. We

601
00:30:40.759 --> 00:30:43.640
<v Speaker 4>need to really think about those kinds of things and

602
00:30:43.640 --> 00:30:45.640
<v Speaker 4>and say, hey, mister driver, I know that you're allowed

603
00:30:45.839 --> 00:30:47.880
<v Speaker 4>X number of hours per per week or per month

604
00:30:47.920 --> 00:30:50.519
<v Speaker 4>on the road, but actually, on this specific trip, you

605
00:30:50.559 --> 00:30:53.000
<v Speaker 4>are actually starting to do those or let's get you,

606
00:30:53.400 --> 00:30:55.920
<v Speaker 4>let's get you safety pulled to the side so we

607
00:30:55.960 --> 00:30:57.559
<v Speaker 4>can sort that up, you know. And I think that

608
00:30:57.559 --> 00:30:59.160
<v Speaker 4>that that kind of check out us, right.

609
00:30:59.640 --> 00:31:03.039
<v Speaker 3>Yeah. Well, and it's like I've been fascinated just in

610
00:31:03.039 --> 00:31:06.720
<v Speaker 3>my own life noticing what algorithms can notice about you,

611
00:31:06.960 --> 00:31:10.519
<v Speaker 3>like your behavioral patterns. People don't realize how transparent they are, frankly,

612
00:31:10.559 --> 00:31:14.759
<v Speaker 3>but a machine is just monitoring behavioral patterns, and those

613
00:31:14.880 --> 00:31:19.200
<v Speaker 3>patterns of getting drowsy are pretty significant and pretty clear,

614
00:31:19.400 --> 00:31:22.680
<v Speaker 3>and so it's wonderful. I mean, you can't really calculate

615
00:31:22.720 --> 00:31:24.880
<v Speaker 3>how many lives are saved, but you know for sure

616
00:31:24.880 --> 00:31:26.519
<v Speaker 3>that lives are being saved, right.

617
00:31:27.000 --> 00:31:30.200
<v Speaker 1>And it's not only that right. Also as a medical emergency,

618
00:31:30.200 --> 00:31:32.440
<v Speaker 1>for example, I'm not only assuming that people does away

619
00:31:32.440 --> 00:31:35.200
<v Speaker 1>behind the wheel, but there's also people have medical emergencies.

620
00:31:35.599 --> 00:31:37.599
<v Speaker 1>And just to close the loop, I think this is

621
00:31:37.640 --> 00:31:40.160
<v Speaker 1>a great example of SDV as well, because you have

622
00:31:40.359 --> 00:31:42.759
<v Speaker 1>a camera feature that the texts that there is something

623
00:31:42.799 --> 00:31:45.920
<v Speaker 1>wrong with the driver. It then hands over that information

624
00:31:46.000 --> 00:31:49.480
<v Speaker 1>to the autonomous driving feature set off the car, which

625
00:31:49.559 --> 00:31:53.319
<v Speaker 1>then together with the map system and with the cameras

626
00:31:53.359 --> 00:31:56.400
<v Speaker 1>outside of the car, safely pulls that car over and

627
00:31:57.160 --> 00:31:59.680
<v Speaker 1>starts an e call to bring you to medical service

628
00:31:59.720 --> 00:32:02.599
<v Speaker 1>you need. So this is a it's a simple but

629
00:32:02.720 --> 00:32:05.880
<v Speaker 1>good example how things work together even though they are

630
00:32:06.000 --> 00:32:07.319
<v Speaker 1>separate parts of the car.

631
00:32:07.519 --> 00:32:09.960
<v Speaker 3>Yeah, that's an excellent point because people do have a

632
00:32:10.039 --> 00:32:12.359
<v Speaker 3>cardiac arrest or a stroke and a number of things

633
00:32:12.359 --> 00:32:14.960
<v Speaker 3>can happen, and if your vehicle can then take over

634
00:32:15.480 --> 00:32:18.559
<v Speaker 3>and understand what's happening, move you to the side, get

635
00:32:18.599 --> 00:32:20.839
<v Speaker 3>you so you're not going to harm yourself or someone else,

636
00:32:20.920 --> 00:32:23.400
<v Speaker 3>and then exactly call the the you know, call the

637
00:32:23.440 --> 00:32:26.279
<v Speaker 3>paramedics to come get you. And that is a wonderful

638
00:32:27.440 --> 00:32:31.559
<v Speaker 3>confluence of technologies to help preserve people lives and of

639
00:32:31.559 --> 00:32:34.079
<v Speaker 3>course the car too, right because you know, if someone

640
00:32:34.119 --> 00:32:36.759
<v Speaker 3>falls asleep behind the wheel man, whoo, it goes back

641
00:32:36.839 --> 00:32:39.200
<v Speaker 3>real fast. Yeah fast.

642
00:32:39.480 --> 00:32:42.640
<v Speaker 4>If eighty miles an hour down a Tennessee highway and

643
00:32:42.680 --> 00:32:44.799
<v Speaker 4>that happens, they could do some trouble, right.

644
00:32:45.160 --> 00:32:47.559
<v Speaker 3>Oh yeah, Well, and you know, just the other day

645
00:32:47.599 --> 00:32:50.640
<v Speaker 3>we're driving back. In fact, last night I was driving

646
00:32:50.640 --> 00:32:52.759
<v Speaker 3>and you hit the bump like that, and my daughter

647
00:32:52.839 --> 00:32:54.519
<v Speaker 3>is like, why is it doing that? I said, because

648
00:32:54.559 --> 00:32:57.640
<v Speaker 3>it's warning you as you're going around a curve and

649
00:32:57.680 --> 00:32:59.519
<v Speaker 3>you don't want to be in the oncoming lane around

650
00:32:59.519 --> 00:33:01.039
<v Speaker 3>a blind I was very proud of myself when my

651
00:33:01.079 --> 00:33:02.759
<v Speaker 3>daughter picked up what a blind curve is?

652
00:33:03.440 --> 00:33:07.720
<v Speaker 1>Yes, this is a very analog feature. You encount that there.

653
00:33:07.720 --> 00:33:09.880
<v Speaker 1>We're working on the digital version of that.

654
00:33:09.880 --> 00:33:13.319
<v Speaker 3>That's funny. It's a very analog feature. And you know

655
00:33:13.480 --> 00:33:16.440
<v Speaker 3>blind turns. I mean, all it takes is one accident

656
00:33:16.440 --> 00:33:21.200
<v Speaker 3>when you're younger to really appreciate the significance of an accident,

657
00:33:21.240 --> 00:33:23.519
<v Speaker 3>of a car accident. And I'm on the count of guy.

658
00:33:23.519 --> 00:33:25.480
<v Speaker 3>When I'm driving, I'm always thinking, and then there's a

659
00:33:25.519 --> 00:33:27.880
<v Speaker 3>blind turn. Like, be careful, man, because you never know

660
00:33:28.000 --> 00:33:31.279
<v Speaker 3>someone could be losing control. There could be an ice

661
00:33:31.359 --> 00:33:33.559
<v Speaker 3>patch or something. And you know, if you're in a

662
00:33:33.599 --> 00:33:36.599
<v Speaker 3>small car like my Miata and some dump truck comes

663
00:33:36.640 --> 00:33:39.519
<v Speaker 3>around that corner, man, let me tell you it's gonna be.

664
00:33:39.599 --> 00:33:41.559
<v Speaker 1>This brings us back to what I said earlier to

665
00:33:41.640 --> 00:33:44.759
<v Speaker 1>vehicles to vega communications. So if you have those blind

666
00:33:44.759 --> 00:33:46.200
<v Speaker 1>turns right in the car in front of you and

667
00:33:46.279 --> 00:33:48.559
<v Speaker 1>counted the ice patch, it will actually tell your car,

668
00:33:48.640 --> 00:33:53.720
<v Speaker 1>not your Miata, but your connected car will get that information.

669
00:33:53.880 --> 00:33:54.079
<v Speaker 4>Right.

670
00:33:54.799 --> 00:33:58.039
<v Speaker 3>That's so where this is a good topic to dive into.

671
00:33:58.359 --> 00:34:02.000
<v Speaker 3>How far along are we in that vehicle to vehicle communication.

672
00:34:02.079 --> 00:34:05.119
<v Speaker 3>So if you have two new Teslas, for example, what

673
00:34:05.160 --> 00:34:07.519
<v Speaker 3>you're saying is that they and how do they sense?

674
00:34:07.599 --> 00:34:11.280
<v Speaker 3>Is it a sort of a GPS driven thing that knows, okay,

675
00:34:11.280 --> 00:34:14.119
<v Speaker 3>you're now in my vicinity and you know you're coming

676
00:34:14.159 --> 00:34:17.400
<v Speaker 3>around a turn like can all those factors actually get

677
00:34:17.480 --> 00:34:20.159
<v Speaker 3>processed in real time to trigger a warning like that?

678
00:34:20.400 --> 00:34:20.599
<v Speaker 4>Yeah?

679
00:34:20.639 --> 00:34:22.559
<v Speaker 1>So first, I think we are already at a very

680
00:34:22.599 --> 00:34:26.000
<v Speaker 1>good point within a certain brand. So tesla to tesla

681
00:34:26.039 --> 00:34:29.320
<v Speaker 1>I think is much more evolved than folks who wanting

682
00:34:29.360 --> 00:34:31.840
<v Speaker 1>to BMW or something like this, because they are still

683
00:34:31.840 --> 00:34:33.960
<v Speaker 1>working on as on some standards because they have to

684
00:34:34.000 --> 00:34:36.880
<v Speaker 1>speak the same language so to say right, but in

685
00:34:36.920 --> 00:34:39.840
<v Speaker 1>general yes, you're correct. So there is something we call geofancing,

686
00:34:39.920 --> 00:34:42.119
<v Speaker 1>so they know which area they are and they're basically

687
00:34:42.199 --> 00:34:44.320
<v Speaker 1>similar to your cell phone. They just book into look

688
00:34:44.559 --> 00:34:46.960
<v Speaker 1>I'm in this area. Now I'm driving through San Francisco,

689
00:34:47.199 --> 00:34:50.760
<v Speaker 1>and then it's it's actually called CV two X or

690
00:34:50.920 --> 00:34:53.719
<v Speaker 1>cellular vehicle to Everything. So this is when the cars

691
00:34:54.199 --> 00:34:57.639
<v Speaker 1>use the cell network to go basically through a satellite

692
00:34:57.800 --> 00:35:00.280
<v Speaker 1>or through I mean not an actual satellite up there

693
00:35:00.320 --> 00:35:03.159
<v Speaker 1>as a sort of server and talk to the other car.

694
00:35:03.559 --> 00:35:05.519
<v Speaker 1>And the other thing we also we will see within

695
00:35:05.559 --> 00:35:08.920
<v Speaker 1>the next few years is how they talk to the infrastructure.

696
00:35:08.960 --> 00:35:11.519
<v Speaker 1>So the red light communicates the status of a red

697
00:35:11.599 --> 00:35:14.599
<v Speaker 1>light to your car. That can reduce your consumption because

698
00:35:14.639 --> 00:35:16.960
<v Speaker 1>your car will actually on out a pilot will slow

699
00:35:17.000 --> 00:35:20.119
<v Speaker 1>down earlier and come to a stop without wasting energy.

700
00:35:20.280 --> 00:35:24.719
<v Speaker 1>Stuff like this. So this is happening in controlled environments

701
00:35:24.760 --> 00:35:28.639
<v Speaker 1>and in smaller patches already. Over the next five to

702
00:35:28.679 --> 00:35:31.079
<v Speaker 1>ten years, we will see that rolling out really in

703
00:35:31.159 --> 00:35:35.159
<v Speaker 1>a way that everybody realizes it and as a simple

704
00:35:35.639 --> 00:35:37.360
<v Speaker 1>add on on that. So I have a friend who

705
00:35:37.480 --> 00:35:40.519
<v Speaker 1>runs a company who works to get green lights for

706
00:35:40.599 --> 00:35:43.639
<v Speaker 1>emergency vehicles, and I say, wow, but you would have

707
00:35:43.719 --> 00:35:46.000
<v Speaker 1>to get every light online. This will take you one

708
00:35:46.039 --> 00:35:48.360
<v Speaker 1>hundred years. And he said no, you know, actually where

709
00:35:48.360 --> 00:35:50.639
<v Speaker 1>you live in Las Vegas, more than ninety percent of

710
00:35:50.679 --> 00:35:54.480
<v Speaker 1>the traffic lights are online already. Yeah, so we don't

711
00:35:54.519 --> 00:35:58.079
<v Speaker 1>know because we don't focus on that technology, right, But

712
00:35:58.400 --> 00:36:02.280
<v Speaker 1>a lot of environments, metal technology is already ready for

713
00:36:02.320 --> 00:36:04.400
<v Speaker 1>all of the stuff we're talking about. So it's it's

714
00:36:04.400 --> 00:36:06.880
<v Speaker 1>it's getting there. It's about to get it all together.

715
00:36:07.119 --> 00:36:11.000
<v Speaker 4>I'll give you another example, Eric, there's there's currently a

716
00:36:11.119 --> 00:36:15.960
<v Speaker 4>rollout of a program for emergency services to notify certain

717
00:36:15.960 --> 00:36:19.880
<v Speaker 4>brands of vehicles that they are in proximity of an

718
00:36:19.920 --> 00:36:23.400
<v Speaker 4>emergency vehicle. It's coming up behind you or to your left,

719
00:36:23.480 --> 00:36:25.440
<v Speaker 4>or to your right or in front of you, based

720
00:36:25.440 --> 00:36:28.239
<v Speaker 4>on your orientation of the vehicle. That kind of that

721
00:36:28.320 --> 00:36:31.760
<v Speaker 4>kind of technology, I believe is really a great example

722
00:36:31.880 --> 00:36:37.239
<v Speaker 4>of using that cellular down to single cell information and

723
00:36:37.280 --> 00:36:40.880
<v Speaker 4>repeating it across across even a different brand. I mean,

724
00:36:41.239 --> 00:36:44.400
<v Speaker 4>it'll be a fire truck telling or whatever product that

725
00:36:44.239 --> 00:36:47.519
<v Speaker 4>that's coming as soon as that becomes pervasive. That type

726
00:36:47.519 --> 00:36:51.480
<v Speaker 4>of thing is great because it starts to clear the

727
00:36:51.599 --> 00:36:54.039
<v Speaker 4>emergency lane, make the vehicles pull over the way they

728
00:36:54.079 --> 00:36:57.760
<v Speaker 4>should pull over. You're you're not looking around rubbernecking to

729
00:36:57.800 --> 00:37:00.280
<v Speaker 4>figure out where is the firetruck or the ambulance because

730
00:37:00.440 --> 00:37:03.559
<v Speaker 4>nobody can ever tell, but you know it's behind you

731
00:37:03.599 --> 00:37:06.679
<v Speaker 4>and it's approaching, right. So that's a simple example of

732
00:37:07.079 --> 00:37:10.280
<v Speaker 4>that vehicle to x that vehicle to anything environment and

733
00:37:10.880 --> 00:37:12.760
<v Speaker 4>how that is going to start becoming more and more

734
00:37:12.760 --> 00:37:16.239
<v Speaker 4>of evasive as it goes along. Of course, it's very

735
00:37:16.280 --> 00:37:19.159
<v Speaker 4>difficult to get things like in the built environment to

736
00:37:19.239 --> 00:37:23.559
<v Speaker 4>talk to the vehicles, or as simple example is who

737
00:37:23.639 --> 00:37:26.000
<v Speaker 4>owns the traffic light and the data coming in and

738
00:37:26.000 --> 00:37:26.840
<v Speaker 4>out of the traffic light?

739
00:37:26.960 --> 00:37:28.559
<v Speaker 3>You know, yeah, yeah, yeah, we'll pick us out of

740
00:37:28.599 --> 00:37:30.280
<v Speaker 3>the break Folks, don't touch up down or you're listening

741
00:37:30.360 --> 00:37:32.119
<v Speaker 3>to in someone elsis interciting.

742
00:37:34.320 --> 00:37:36.840
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743
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791
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792
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820
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<v Speaker 2>Welcome back to Inside Analysis. Here's your host, Eric Tabanac.

821
00:42:14.639 --> 00:42:16.840
<v Speaker 3>All right, folks, back here on Inside Analysis talking to

822
00:42:16.880 --> 00:42:21.280
<v Speaker 3>a couple experts in software divined vehicles. Such cool stuff

823
00:42:21.320 --> 00:42:23.800
<v Speaker 3>out there, and I'll throw it over maybe to Michael

824
00:42:23.840 --> 00:42:27.280
<v Speaker 3>first and then to Florian. I remember learning this ultimate

825
00:42:27.400 --> 00:42:30.840
<v Speaker 3>sales pitch for self driving cars, and that is no

826
00:42:30.920 --> 00:42:35.840
<v Speaker 3>more traffic jams, right, because if you can orchestrate, if

827
00:42:35.840 --> 00:42:38.199
<v Speaker 3>you can orchestrate every vehicle in this environment, you won't

828
00:42:38.239 --> 00:42:41.440
<v Speaker 3>have the darn traffic jams anymore. I mean you can

829
00:42:41.480 --> 00:42:45.119
<v Speaker 3>at least expedite traffic at high peak times to get

830
00:42:45.159 --> 00:42:48.639
<v Speaker 3>through difficult periods of time, because who likes a traffic jam.

831
00:42:48.800 --> 00:42:51.840
<v Speaker 3>Nobody likes a traffic jam, nobody. I can't live in

832
00:42:51.840 --> 00:42:53.960
<v Speaker 3>traffic jams. I'd lose my mind in a traffic jam.

833
00:42:54.000 --> 00:42:56.199
<v Speaker 3>I will pull over and do something else for an

834
00:42:56.239 --> 00:42:58.639
<v Speaker 3>hour to not have to sit there in a traffic jam.

835
00:42:58.679 --> 00:42:59.960
<v Speaker 3>But go ahead, what do you think, Mike?

836
00:43:00.280 --> 00:43:03.280
<v Speaker 4>And you're going to continue pulling over to do something

837
00:43:03.280 --> 00:43:06.960
<v Speaker 4>else while do you experience the traffic jam for probably

838
00:43:06.960 --> 00:43:08.639
<v Speaker 4>as long as you and I still have a valid

839
00:43:08.679 --> 00:43:13.320
<v Speaker 4>driver's license. And the reason for that is because it's

840
00:43:13.360 --> 00:43:16.920
<v Speaker 4>the simple er physics. Right. Two, Our solid objects cann't

841
00:43:16.920 --> 00:43:19.760
<v Speaker 4>occupy the same space at the same time, godless of

842
00:43:19.760 --> 00:43:23.079
<v Speaker 4>the algorithm. Right. The bottom line is we are still

843
00:43:23.119 --> 00:43:25.559
<v Speaker 4>working eight to five as you were in the industrial age,

844
00:43:25.599 --> 00:43:29.039
<v Speaker 4>when we are way past information age. And this is

845
00:43:29.079 --> 00:43:31.920
<v Speaker 4>the reality that we are all we all signed up for. Right. So,

846
00:43:32.280 --> 00:43:34.400
<v Speaker 4>if you're in Washington and you have in DC, and

847
00:43:34.440 --> 00:43:36.480
<v Speaker 4>you have to do that run in that side of

848
00:43:36.519 --> 00:43:39.400
<v Speaker 4>the world. If you're in Dallas Fort Worth, you have

849
00:43:39.440 --> 00:43:41.800
<v Speaker 4>to do those run in Atlanta. It's not going to

850
00:43:41.880 --> 00:43:44.440
<v Speaker 4>change because everybody's still on the road. Right. We may

851
00:43:44.480 --> 00:43:47.440
<v Speaker 4>smooth out the edges, we may we may save a

852
00:43:47.440 --> 00:43:49.880
<v Speaker 4>couple of minutes, but the bottom line is a reasonable

853
00:43:49.880 --> 00:43:51.639
<v Speaker 4>I will work at five and at home and try

854
00:43:51.639 --> 00:43:54.079
<v Speaker 4>and be onn by six six thirty. And that means

855
00:43:54.079 --> 00:43:55.480
<v Speaker 4>that a million people need to be on the road

856
00:43:55.480 --> 00:43:58.559
<v Speaker 4>at the same time. That's right. And we hopefully we

857
00:43:58.599 --> 00:44:00.920
<v Speaker 4>have less accidents, which we use the lane stale pit

858
00:44:01.000 --> 00:44:04.840
<v Speaker 4>which means it's pits mud and and and hopefully we

859
00:44:04.920 --> 00:44:07.280
<v Speaker 4>come to our interne with society and go in the

860
00:44:07.280 --> 00:44:09.760
<v Speaker 4>information age to be really all left to knock off

861
00:44:09.840 --> 00:44:11.960
<v Speaker 4>at the same time, can we can we maybe think

862
00:44:12.000 --> 00:44:14.840
<v Speaker 4>a little differently about the work living, you know, But

863
00:44:14.920 --> 00:44:17.840
<v Speaker 4>that's another story for another day. But that's yeah, the

864
00:44:18.079 --> 00:44:19.960
<v Speaker 4>bottom line is and and if you've ever been just

865
00:44:20.280 --> 00:44:23.800
<v Speaker 4>like Bengal or Delhi, you know that there's no way

866
00:44:23.840 --> 00:44:27.199
<v Speaker 4>that that fully autonomous vehicle is going to solve any

867
00:44:27.280 --> 00:44:29.719
<v Speaker 4>traffic problems in that part of the world in any

868
00:44:29.760 --> 00:44:32.760
<v Speaker 4>time soon. Right. So that's that's funny the way it is.

869
00:44:33.360 --> 00:44:35.000
<v Speaker 1>I got a little bit of a ray of sunlight

870
00:44:35.039 --> 00:44:35.840
<v Speaker 1>for you here, Eric.

871
00:44:36.119 --> 00:44:39.599
<v Speaker 4>So it's so so first in the sales pitch.

872
00:44:40.119 --> 00:44:42.320
<v Speaker 1>Yeah, so actually I've just picked up what Mike said.

873
00:44:42.360 --> 00:44:44.000
<v Speaker 1>So there are a couple of different reasons why you

874
00:44:44.039 --> 00:44:45.719
<v Speaker 1>have a traffic jam, right, So one of them is

875
00:44:45.719 --> 00:44:49.199
<v Speaker 1>congestion due to a high frequency, a hi high number

876
00:44:49.199 --> 00:44:53.079
<v Speaker 1>of vehicles at the same time. There Actually, yes, Mike's writer,

877
00:44:53.199 --> 00:44:55.480
<v Speaker 1>can't occupy the same space with more than one vehicle,

878
00:44:55.519 --> 00:44:58.400
<v Speaker 1>But we can reduce the space between vehicles, so that

879
00:44:58.519 --> 00:45:01.719
<v Speaker 1>makes that a little better. We call it plattooning for example,

880
00:45:01.800 --> 00:45:04.400
<v Speaker 1>So you have the vehicles communicating with each other, that

881
00:45:04.480 --> 00:45:07.039
<v Speaker 1>takes out the need for the distance in between them,

882
00:45:07.199 --> 00:45:10.559
<v Speaker 1>and you can have the basically like pearls on a string.

883
00:45:10.960 --> 00:45:12.719
<v Speaker 1>Then the other thing, which is I think is much

884
00:45:12.719 --> 00:45:16.239
<v Speaker 1>more important, is on accidents as a cause of a

885
00:45:16.280 --> 00:45:19.599
<v Speaker 1>traffic jam, and that is our all common goal to

886
00:45:19.679 --> 00:45:24.000
<v Speaker 1>reduce the accidents to a minimum by applying those features

887
00:45:24.000 --> 00:45:27.960
<v Speaker 1>and functionalities in software and in the vehicles. And like,

888
00:45:28.440 --> 00:45:30.920
<v Speaker 1>I don't know the percentage of traffic jams caused by

889
00:45:30.920 --> 00:45:35.480
<v Speaker 1>accidents versus congestion, but I know that traffic jams caused

890
00:45:35.519 --> 00:45:39.760
<v Speaker 1>by accident in combination with congestion are the worst. So

891
00:45:39.800 --> 00:45:44.159
<v Speaker 1>we try, we try our best to get really the safety,

892
00:45:44.239 --> 00:45:46.000
<v Speaker 1>and that's the number one on the sales pitch, right,

893
00:45:46.039 --> 00:45:49.199
<v Speaker 1>it's safety, then it's comfort, and then it's you know,

894
00:45:49.280 --> 00:45:53.320
<v Speaker 1>all the other stuff, and like that we reduce your

895
00:45:53.599 --> 00:45:57.159
<v Speaker 1>promises traffic jams, hopefully by reducing a number of accidents

896
00:45:57.159 --> 00:45:57.559
<v Speaker 1>on the road.

897
00:45:58.320 --> 00:46:00.559
<v Speaker 3>No, that makes sense, that's good stuff. You're right that

898
00:46:00.920 --> 00:46:03.400
<v Speaker 3>when you get an accident and you have congestion and

899
00:46:03.440 --> 00:46:06.320
<v Speaker 3>all these things at once, and it's snowing outside or something,

900
00:46:06.360 --> 00:46:09.239
<v Speaker 3>that's when it all kind of falls apart there. I'm

901
00:46:09.239 --> 00:46:12.400
<v Speaker 3>curious to know, you know, Google and of course what

902
00:46:12.559 --> 00:46:14.440
<v Speaker 3>is it? Weighs and some of these other apps are

903
00:46:14.440 --> 00:46:17.760
<v Speaker 3>getting very good at being able to sense how many

904
00:46:17.800 --> 00:46:20.000
<v Speaker 3>cars are in a certain area. You get these warnings

905
00:46:20.000 --> 00:46:23.039
<v Speaker 3>on your phone. How much of that factors into what

906
00:46:23.119 --> 00:46:25.360
<v Speaker 3>you guys work on. Are you able to tap into

907
00:46:25.400 --> 00:46:27.880
<v Speaker 3>their system and understand how they do that. I know

908
00:46:27.960 --> 00:46:30.760
<v Speaker 3>you talked about standards and protocols and things, but where

909
00:46:30.800 --> 00:46:33.840
<v Speaker 3>are we in terms of really sharing that information even

910
00:46:33.840 --> 00:46:35.679
<v Speaker 3>in real time at scale?

911
00:46:36.000 --> 00:46:40.199
<v Speaker 1>I think traffic we are like there, so sharing traffic information,

912
00:46:40.480 --> 00:46:43.360
<v Speaker 1>you can have that down to the granularity of a

913
00:46:43.400 --> 00:46:47.039
<v Speaker 1>couple of meters. Other topics, it's a little tricky, but

914
00:46:47.039 --> 00:46:51.079
<v Speaker 1>there's also sometimes there's contractual reasons. There is you know,

915
00:46:51.760 --> 00:46:54.639
<v Speaker 1>non disclosure agreements and so on. But on the traffic

916
00:46:54.679 --> 00:46:57.880
<v Speaker 1>side of things, I think we're spot on. It's available

917
00:46:57.880 --> 00:47:00.679
<v Speaker 1>to you as an individual. It's the same available to

918
00:47:01.440 --> 00:47:03.800
<v Speaker 1>your computer in your car, so they can do intelligent

919
00:47:04.719 --> 00:47:07.440
<v Speaker 1>route planning, they can do intelligent charge planning, if you

920
00:47:07.519 --> 00:47:11.159
<v Speaker 1>choose to go electric, they can take all this into consideration.

921
00:47:12.639 --> 00:47:15.119
<v Speaker 1>So I think that's a great example of how collaboration

922
00:47:15.559 --> 00:47:19.400
<v Speaker 1>should work, and it should actually work in other areas

923
00:47:19.440 --> 00:47:22.559
<v Speaker 1>soon as well. But the traffic spot on already working.

924
00:47:23.039 --> 00:47:26.400
<v Speaker 4>I think I think that the next generation overlay is

925
00:47:26.400 --> 00:47:29.039
<v Speaker 4>really what I call what we call precise position in

926
00:47:29.079 --> 00:47:32.719
<v Speaker 4>writing traffic. So at the moment your you're mapping technology

927
00:47:32.719 --> 00:47:36.000
<v Speaker 4>that you use, probably Apple, Corplay or Android or Ways

928
00:47:36.079 --> 00:47:38.599
<v Speaker 4>or whatever you're using, is telling you that you're driving

929
00:47:38.639 --> 00:47:42.920
<v Speaker 4>down Main Street going north right, versus it's not telling

930
00:47:42.920 --> 00:47:45.559
<v Speaker 4>you you're in lane two or three on Main Street

931
00:47:45.639 --> 00:47:49.440
<v Speaker 4>and you and lane two means you must go straight right.

932
00:47:49.719 --> 00:47:52.880
<v Speaker 4>So precise position is really getting that vehicle to be

933
00:47:53.679 --> 00:47:57.840
<v Speaker 4>I can get you within centimeters or millimeters or less

934
00:47:57.840 --> 00:48:00.199
<v Speaker 4>than an inch of where you actually are as a

935
00:48:00.280 --> 00:48:03.400
<v Speaker 4>vehicle in those lanes because that that that starts to

936
00:48:03.480 --> 00:48:07.079
<v Speaker 4>help you and the vehicle understand where when the autonomous

937
00:48:07.119 --> 00:48:09.519
<v Speaker 4>LUs system or the system driving system says turned right,

938
00:48:10.000 --> 00:48:12.199
<v Speaker 4>it knows you have to be in the right lane

939
00:48:12.239 --> 00:48:14.039
<v Speaker 4>of three. And if you are not in the right

940
00:48:14.079 --> 00:48:16.960
<v Speaker 4>lane of three and a cratical example, sometimes you're driving

941
00:48:16.960 --> 00:48:18.480
<v Speaker 4>them already and you get a eglection the car things

942
00:48:18.480 --> 00:48:20.480
<v Speaker 4>you at to McDonald's parking lot, any lot of the

943
00:48:20.519 --> 00:48:24.800
<v Speaker 4>intersection right, that is not precise position. Precise posision means

944
00:48:24.800 --> 00:48:28.400
<v Speaker 4>it got to know you're there right, And that's that

945
00:48:28.440 --> 00:48:30.119
<v Speaker 4>could be done with a myriad of ways. It can

946
00:48:30.199 --> 00:48:32.719
<v Speaker 4>be done by a satellite precise position overlayd of the

947
00:48:32.760 --> 00:48:35.559
<v Speaker 4>fund network. It can be done by camera and light

948
00:48:35.599 --> 00:48:39.000
<v Speaker 4>our sensing technologies based on other vehicles around in proximity

949
00:48:39.039 --> 00:48:41.199
<v Speaker 4>to put you in the in the correct lane. And

950
00:48:41.480 --> 00:48:43.280
<v Speaker 4>probably it will be a combination of all of that

951
00:48:43.320 --> 00:48:46.800
<v Speaker 4>stuff as it goes forward, but that for me would

952
00:48:46.800 --> 00:48:51.519
<v Speaker 4>be the next generation of precise positions. So and then

953
00:48:51.559 --> 00:48:54.320
<v Speaker 4>it starts to help things like traffic congestion, because then

954
00:48:54.360 --> 00:48:56.639
<v Speaker 4>the built environment says, oh, hang on, Eric has got

955
00:48:56.679 --> 00:48:59.239
<v Speaker 4>fifty five guys in girls behind them in the right

956
00:48:59.239 --> 00:49:01.199
<v Speaker 4>plane all trying to get into the stadium to watch

957
00:49:01.280 --> 00:49:04.559
<v Speaker 4>the game. Let's open that turn right signal fifty five

958
00:49:04.599 --> 00:49:07.519
<v Speaker 4>seconds longer per go so we can start to alleviate

959
00:49:07.559 --> 00:49:09.719
<v Speaker 4>that cue. Right. And then we started to talk about

960
00:49:09.760 --> 00:49:14.119
<v Speaker 4>smart systems live on the algorithm based solutioning. Right. I

961
00:49:14.599 --> 00:49:14.920
<v Speaker 4>love that.

962
00:49:14.960 --> 00:49:16.079
<v Speaker 1>I can't wait for that.

963
00:49:16.079 --> 00:49:16.119
<v Speaker 4>That.

964
00:49:16.199 --> 00:49:18.639
<v Speaker 1>Finally, the traffic lights are not just green for empty,

965
00:49:18.960 --> 00:49:20.719
<v Speaker 1>you know. I have like literally like I'm waiting at

966
00:49:20.760 --> 00:49:22.880
<v Speaker 1>a red light and there's tumbleweed coming through, and it's

967
00:49:22.920 --> 00:49:26.320
<v Speaker 1>like why Right. But the good news Eric, here is

968
00:49:26.360 --> 00:49:30.280
<v Speaker 1>everything that Mike was talking about is actually ready to go.

969
00:49:30.519 --> 00:49:32.800
<v Speaker 1>So we see that rolling out already. So this is

970
00:49:33.000 --> 00:49:35.280
<v Speaker 1>actually the state of the art on the R and

971
00:49:35.360 --> 00:49:37.880
<v Speaker 1>D side of things. We are seeing this coming out

972
00:49:37.920 --> 00:49:41.360
<v Speaker 1>with new generation cars, the traffic light shifting and or

973
00:49:41.440 --> 00:49:43.639
<v Speaker 1>changing in my favor, I haven't seen that yet, but

974
00:49:44.280 --> 00:49:45.599
<v Speaker 1>I'd like to see that soon.

975
00:49:45.960 --> 00:49:47.559
<v Speaker 4>We can tray about it.

976
00:49:47.639 --> 00:49:51.239
<v Speaker 1>Yes, but it's a good snapshot of where the technology

977
00:49:51.320 --> 00:49:51.920
<v Speaker 1>is already.

978
00:49:52.000 --> 00:49:55.800
<v Speaker 4>Yeah, what's possible? Right? Yeah? And Eric, the precise position,

979
00:49:55.840 --> 00:49:58.119
<v Speaker 4>I'll give you another sort of example of where it's working.

980
00:49:58.559 --> 00:50:02.440
<v Speaker 4>I never culture sector, So autonomous vehicles in agriculture is

981
00:50:02.480 --> 00:50:05.639
<v Speaker 4>already pervasive. It needs to be because we need people

982
00:50:05.679 --> 00:50:08.719
<v Speaker 4>to do work in large areas at the same time. Right,

983
00:50:09.000 --> 00:50:14.880
<v Speaker 4>and when you're spraying crops with insecticides or with chemical enhancement,

984
00:50:14.960 --> 00:50:16.800
<v Speaker 4>whatever you have to do on a farm, I don't know.

985
00:50:17.440 --> 00:50:20.960
<v Speaker 4>There are legislative requirements around where you must stop and

986
00:50:21.000 --> 00:50:24.039
<v Speaker 4>start the spraying the of those crops, and those are

987
00:50:24.079 --> 00:50:27.239
<v Speaker 4>defined geographically as a very precise line. And when you

988
00:50:27.320 --> 00:50:31.599
<v Speaker 4>use precise positioning, you can actually dictate where that spray

989
00:50:31.679 --> 00:50:34.760
<v Speaker 4>actually starts and stops autonomously already because the vehicle can

990
00:50:34.800 --> 00:50:37.800
<v Speaker 4>recheck to that level because they can map those areas

991
00:50:37.880 --> 00:50:40.199
<v Speaker 4>very well. So it's just to give you an idea

992
00:50:40.280 --> 00:50:45.159
<v Speaker 4>of how that technology can really overlay right into adjacent industries.

993
00:50:45.320 --> 00:50:48.079
<v Speaker 3>Well, that's good stuff. And then you know urban planning

994
00:50:48.239 --> 00:50:51.679
<v Speaker 3>for example, understanding. I remember I interviewed a guy in

995
00:50:51.760 --> 00:50:54.079
<v Speaker 3>the earliest days of my career who worked for the

996
00:50:54.119 --> 00:50:56.760
<v Speaker 3>Illinois Department of Transportation, and he told me a couple

997
00:50:56.800 --> 00:50:59.719
<v Speaker 3>of interesting things. He said, you know, one is, when

998
00:50:59.760 --> 00:51:03.599
<v Speaker 3>you plan to build new highways, you cannot project out

999
00:51:03.719 --> 00:51:06.840
<v Speaker 3>the new traffic you'll expect to get based upon this

1000
00:51:06.920 --> 00:51:08.920
<v Speaker 3>new highway. You have to build at least back then

1001
00:51:08.960 --> 00:51:11.800
<v Speaker 3>you had to base it upon current traffic patterns and

1002
00:51:11.840 --> 00:51:13.440
<v Speaker 3>so there's a lot of effort that goes into that.

1003
00:51:13.480 --> 00:51:15.960
<v Speaker 3>And you know, getting back to the data side of things,

1004
00:51:15.960 --> 00:51:17.559
<v Speaker 3>we got about a minute and a half left here.

1005
00:51:18.000 --> 00:51:20.639
<v Speaker 3>All this data is very useful. I mean for like potholes,

1006
00:51:20.639 --> 00:51:22.880
<v Speaker 3>for example, do you guys see that program with Domino's

1007
00:51:22.880 --> 00:51:24.920
<v Speaker 3>Pizza with like call in tol us What a podolism

1008
00:51:24.960 --> 00:51:27.159
<v Speaker 3>will fix it for you? Almost Like that's brilliant.

1009
00:51:27.519 --> 00:51:29.400
<v Speaker 1>Yeah, even though I don't think the cities have the

1010
00:51:29.400 --> 00:51:31.719
<v Speaker 1>problem that they have people sitting around not knowing what

1011
00:51:31.760 --> 00:51:33.679
<v Speaker 1>to do and waiting for somebody calling in for a

1012
00:51:33.719 --> 00:51:36.000
<v Speaker 1>portol But I'd like to jump on on that really

1013
00:51:36.039 --> 00:51:39.679
<v Speaker 1>quick with like a twenty second thing about AI, because

1014
00:51:39.719 --> 00:51:41.639
<v Speaker 1>we haven't really talked about AI. But this is where

1015
00:51:41.679 --> 00:51:44.119
<v Speaker 1>AI starts to shine a lot in our industry because

1016
00:51:44.119 --> 00:51:47.920
<v Speaker 1>we gather so much data and there's different approaches on AIS.

1017
00:51:47.920 --> 00:51:50.199
<v Speaker 1>As the server based AI, which we call a data lake.

1018
00:51:50.239 --> 00:51:51.840
<v Speaker 1>You just dump all that data in there and you

1019
00:51:51.920 --> 00:51:55.360
<v Speaker 1>let the artificial intelligence go through and understand what do

1020
00:51:55.400 --> 00:51:57.440
<v Speaker 1>we learn out of all this data? And then the

1021
00:51:57.480 --> 00:51:59.920
<v Speaker 1>other thing is one what we have not seen yet,

1022
00:51:59.920 --> 00:52:01.840
<v Speaker 1>but we will see soon is what is called h

1023
00:52:01.920 --> 00:52:05.679
<v Speaker 1>ai so Edgai means is ai actively learning in your

1024
00:52:05.760 --> 00:52:10.920
<v Speaker 1>car and it starts to make improvements to the behavior.

1025
00:52:11.199 --> 00:52:14.559
<v Speaker 1>So this is probably a complete different additional segment of

1026
00:52:14.599 --> 00:52:16.880
<v Speaker 1>an hour. So I will not I will stop right here.

1027
00:52:16.920 --> 00:52:19.000
<v Speaker 1>But as you can hear, we can talk about that.

1028
00:52:20.159 --> 00:52:22.760
<v Speaker 4>We can for you that one absolutely well.

1029
00:52:22.760 --> 00:52:25.719
<v Speaker 3>This has been absolutely fascinating. Look these gentlemen up online, folks.

1030
00:52:25.960 --> 00:52:28.840
<v Speaker 3>Michael Franz, it's f R A N S. The last

1031
00:52:28.920 --> 00:52:34.199
<v Speaker 3>name on LinkedIn and Florian Road. These gentlemen are car aficionados,

1032
00:52:34.239 --> 00:52:36.559
<v Speaker 3>they're experts, and they're helping us get to the next

1033
00:52:36.599 --> 00:52:40.599
<v Speaker 3>generation of a good quality drive, that's safe, that's fun.

1034
00:52:40.880 --> 00:52:43.840
<v Speaker 3>And I love that line. You say you feel quality, quality,

1035
00:52:44.400 --> 00:52:46.719
<v Speaker 3>feel quad but I like that. We'll send an email

1036
00:52:46.760 --> 00:52:48.360
<v Speaker 3>phone to be in the show. Info at inside analysis

1037
00:52:48.360 --> 00:52:49.760
<v Speaker 3>dot com. We'll talk to you next time you've been

1038
00:52:49.760 --> 00:52:52.880
<v Speaker 3>listening to Inside Analysis.

1039
00:52:55.480 --> 00:52:58.679
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1040
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1052
00:53:56.199 --> 00:54:00.559
<v Speaker 15>NBC News Radio, I'm Lisa Carton. Homeland Security Secretary Alejandro

1053
00:54:00.639 --> 00:54:04.039
<v Speaker 15>Majorcis says Americans should not be concerned about a recent

1054
00:54:04.119 --> 00:54:08.320
<v Speaker 15>surge in drone sidings across the country. Myorcis told ABC's

1055
00:54:08.400 --> 00:54:12.000
<v Speaker 15>This Week that rules have recently been changed allowing drones

1056
00:54:12.039 --> 00:54:14.119
<v Speaker 15>to fly at night, which could be a reason why

1057
00:54:14.159 --> 00:54:15.920
<v Speaker 15>people are spotting them more often.

1058
00:54:16.000 --> 00:54:19.480
<v Speaker 3>There are thousands of drones flown every day in the

1059
00:54:19.559 --> 00:54:23.280
<v Speaker 3>United States, recreational drones, commercial drones.

1060
00:54:23.480 --> 00:54:26.280
<v Speaker 15>He added, that the Department of Homeland Security doesn't know

1061
00:54:26.320 --> 00:54:29.679
<v Speaker 15>of any foreign involvement in recent drone sidings. Despite this,

1062
00:54:29.840 --> 00:54:33.280
<v Speaker 15>Majorcis said federal and state authorities would benefit from more

1063
00:54:33.360 --> 00:54:38.039
<v Speaker 15>legal authority to combat problematic drone activity. Senator Mitt Romney

1064
00:54:38.079 --> 00:54:41.519
<v Speaker 15>says he expects jd Vance will be the GOP presidential

1065
00:54:41.559 --> 00:54:43.079
<v Speaker 15>nominee in twenty twenty eight.

1066
00:54:43.199 --> 00:54:45.119
<v Speaker 10>If you were to ask me who the nominee will

1067
00:54:45.159 --> 00:54:47.440
<v Speaker 10>be in twenty twenty eight, I think it'll be jd Vance.

1068
00:54:47.719 --> 00:54:50.559
<v Speaker 15>Romney made the prediction on CNN's State of the Union

1069
00:54:50.760 --> 00:54:52.599
<v Speaker 15>Lisa Carton NBC News Radio.

1070
00:54:53.119 --> 00:54:56.760
<v Speaker 16>Colorado two way star Travis Hunter wins the Heinsman Trophy,

1071
00:54:56.800 --> 00:55:00.639
<v Speaker 16>beating out Boise State running back Ashton Gentsea. The Warriors

1072
00:55:00.679 --> 00:55:03.880
<v Speaker 16>acquire Nets point guard Dennis Schreuder in exchange for de

1073
00:55:04.000 --> 00:55:07.719
<v Speaker 16>Anthony Melton. NBA Cup semi Finals Thunder over the Rockets

1074
00:55:07.760 --> 00:55:10.880
<v Speaker 16>one eleven ninety six. Jay gilges Alexander with thirty two,

1075
00:55:11.239 --> 00:55:13.480
<v Speaker 16>Giannis with thirty two as the Bucks beat the Hawks

1076
00:55:13.480 --> 00:55:15.760
<v Speaker 16>in the other semi final one ten one oh two.

1077
00:55:16.159 --> 00:55:19.719
<v Speaker 16>College basketball Number one Tennessee holds off Illinois sixty six

1078
00:55:19.760 --> 00:55:23.400
<v Speaker 16>to sixty four. Number two Auburn routs Ohio State ninety

1079
00:55:23.440 --> 00:55:27.199
<v Speaker 16>one fifty three college football. Navy upsets Army thirty one

1080
00:55:27.159 --> 00:55:31.280
<v Speaker 16>to thirteen. Meanwhile, Louisiana Tech will replace Marshall as Armies

1081
00:55:31.320 --> 00:55:36.199
<v Speaker 16>opponent in the Radiance Technologies Independence Pool. NFL News Cowboys

1082
00:55:36.239 --> 00:55:39.760
<v Speaker 16>corner Trayvon Diggs left knee surgery. He's out for the season.

1083
00:55:39.960 --> 00:55:43.639
<v Speaker 16>Raiders Max Crosby will undergo season ending ankle surgery. The

1084
00:55:43.679 --> 00:55:47.000
<v Speaker 16>Saints will start Jake Hayner at quarterback over Derek Carr

1085
00:55:47.239 --> 00:55:50.519
<v Speaker 16>as they get ready to take on the Commanders That Sports,

1086
00:55:50.719 --> 00:55:51.480
<v Speaker 16>I'm Trey Bender.

1087
00:55:52.639 --> 00:55:56.559
<v Speaker 17>Located in the heart of San Bernardino, California, the Teamsters

1088
00:55:56.639 --> 00:56:00.519
<v Speaker 17>Local nineteen thirty two Training Center is designed to train

1089
00:56:00.599 --> 00:56:04.840
<v Speaker 17>workers for high demand, good paying jobs and various industries

1090
00:56:04.920 --> 00:56:08.440
<v Speaker 17>throughout the Inlet Empire. If you want a pathway to

1091
00:56:08.519 --> 00:56:11.280
<v Speaker 17>a high paying job and the respect that comes with

1092
00:56:11.400 --> 00:56:16.079
<v Speaker 17>a union contract, visit nineteen thirty two Trainingcenter dot org

1093
00:56:16.159 --> 00:56:21.280
<v Speaker 17>to enroll today. That's nineteen thirty two Trainingcenter dot org.

1094
00:56:25.719 --> 00:56:29.119
<v Speaker 18>What does it take to take on Alzheimer's Awareness that

1095
00:56:29.239 --> 00:56:32.880
<v Speaker 18>nearly two thirds of those diagnosed to women, including black women,

1096
00:56:33.599 --> 00:56:37.599
<v Speaker 18>dedication to lowering your risk by eating healthy and monitoring

1097
00:56:37.599 --> 00:56:41.760
<v Speaker 18>blood pressure and confidence to talk to your healthcare provider

1098
00:56:41.840 --> 00:56:45.480
<v Speaker 18>about screening and early detection. You have what it takes

1099
00:56:45.519 --> 00:56:48.960
<v Speaker 18>to take on Alzheimer's. Learn about signs and screening at

1100
00:56:49.000 --> 00:56:52.119
<v Speaker 18>take on alz dot com, brought to you by the

1101
00:56:52.159 --> 00:56:54.039
<v Speaker 18>California Department of Public Health.

1102
00:56:55.559 --> 00:56:58.960
<v Speaker 19>What is your plan for your beneficiary to manage your

1103
00:56:59.039 --> 00:57:01.119
<v Speaker 19>final expenses when you pass away?

1104
00:57:02.000 --> 00:57:02.280
<v Speaker 4>Life?

1105
00:57:02.360 --> 00:57:09.199
<v Speaker 19>Insurance, annuity, bank accounts, investment accounts all require deficeritivity which

1106
00:57:09.239 --> 00:57:13.199
<v Speaker 19>takes ten days based on the national average, which means

1107
00:57:13.199 --> 00:57:17.280
<v Speaker 19>no money's immediately available, and this causes stress and arguments.

1108
00:57:18.000 --> 00:57:22.960
<v Speaker 19>Simple solution the beneficiary liquidity clan use money you already

1109
00:57:23.000 --> 00:57:25.679
<v Speaker 19>have no need to come up with additional funds.

1110
00:57:25.960 --> 00:57:29.360
<v Speaker 20>The funds grow tax deferred and pass tax free to

1111
00:57:29.440 --> 00:57:33.440
<v Speaker 20>your name beneficiary. The death benefit is paid out in

1112
00:57:33.639 --> 00:57:38.360
<v Speaker 20>twenty four to forty eight hours out a deficitary urmy

1113
00:57:38.400 --> 00:57:42.440
<v Speaker 20>money without a definitivety call us at one eight hundred

1114
00:57:42.800 --> 00:57:45.440
<v Speaker 20>three zero six fifty eighty six.

1115
00:57:45.719 --> 00:57:47.000
<v Speaker 1>Hey, this is Gary Garber.

1116
00:57:47.079 --> 00:57:49.159
<v Speaker 21>If you work out like I do, or have a

1117
00:57:49.239 --> 00:57:51.960
<v Speaker 21>job where you sit all day and your back hurts

1118
00:57:52.280 --> 00:57:54.400
<v Speaker 21>and you're in pain and you don't know what.

1119
00:57:54.320 --> 00:57:56.760
<v Speaker 2>To do, I have the perfect solution.

1120
00:57:56.880 --> 00:57:57.239
<v Speaker 4>For you.

1121
00:57:57.519 --> 00:57:58.559
<v Speaker 1>It's I Spot.

1122
00:57:58.840 --> 00:58:02.400
<v Speaker 21>I spot Active is form fitted compression war with pockets

1123
00:58:02.400 --> 00:58:06.840
<v Speaker 21>that fit ice cold gel packs called flexpods. These flexpods

1124
00:58:06.920 --> 00:58:11.000
<v Speaker 21>fit around your joints ensuring maximum pain relief.

1125
00:58:11.360 --> 00:58:12.840
<v Speaker 1>I use it all the time because.

1126
00:58:12.559 --> 00:58:16.079
<v Speaker 21>I'm always active, playing golf, working out, fixing up my

1127
00:58:16.159 --> 00:58:18.639
<v Speaker 21>place right now, and I put it on in the

1128
00:58:18.679 --> 00:58:23.480
<v Speaker 21>evening around my back and it gives me maximum pain relief.

1129
00:58:23.920 --> 00:58:24.599
<v Speaker 2>Laker's legend.

1130
00:58:24.679 --> 00:58:27.079
<v Speaker 21>James Worthy is a founder of this company and really

1131
00:58:27.119 --> 00:58:29.719
<v Speaker 21>believes in it. To find out more about ice bod

1132
00:58:29.920 --> 00:58:33.599
<v Speaker 21>go to ice bodactive dot com and get yours today.

1133
00:58:33.960 --> 00:58:38.239
<v Speaker 21>That's ic bodactive dot com. This week they are having

1134
00:58:38.280 --> 00:58:40.760
<v Speaker 21>a flash sale where you can save twenty five percent

1135
00:58:40.840 --> 00:58:44.679
<v Speaker 21>off by using the promo code KCAA. Go to ice

1136
00:58:44.760 --> 00:58:46.320
<v Speaker 21>bodactive dot com.

1137
00:58:46.639 --> 00:58:49.920
<v Speaker 22>This segment brought to you by Christmas and the Fat

1138
00:58:49.960 --> 00:58:52.920
<v Speaker 22>Greek in Ukaithon still have some Christmas shopping or gifts

1139
00:58:52.920 --> 00:58:56.280
<v Speaker 22>to buy for that special person, business, associate or friend.

1140
00:58:56.679 --> 00:59:00.440
<v Speaker 22>Nothing says love like a Fat Greek food certificate. Chris

1141
00:59:00.480 --> 00:59:02.400
<v Speaker 22>and their families at the Fat Creek want you to

1142
00:59:02.440 --> 00:59:05.079
<v Speaker 22>know about their holiday gift certificates and how you can

1143
00:59:05.159 --> 00:59:08.000
<v Speaker 22>also get whole holiday meals for the family or friends

1144
00:59:08.039 --> 00:59:12.039
<v Speaker 22>too quick, easy and affordable, and you get money back too.

1145
00:59:12.320 --> 00:59:14.159
<v Speaker 22>You can see more about the Fat Greek on the

1146
00:59:14.199 --> 00:59:17.360
<v Speaker 22>big Ukaypa led monster signs on the ten Freeway at

1147
00:59:17.360 --> 00:59:21.320
<v Speaker 22>the gateway to Ukaipa. Fat Greek is your holiday relief station.

1148
00:59:21.599 --> 00:59:23.920
<v Speaker 22>Kick your feet up and enjoy the holiday with all

1149
00:59:24.039 --> 00:59:26.559
<v Speaker 22>kinds of Greek comfort fruit to take that load off

1150
00:59:26.599 --> 00:59:28.360
<v Speaker 22>your feet, and you might want to partake in an

1151
00:59:28.400 --> 00:59:31.079
<v Speaker 22>adult beverage at their full cocktail bar. You can also

1152
00:59:31.119 --> 00:59:33.599
<v Speaker 22>catch a game on their big eighty five inch TV too.

1153
00:59:33.760 --> 00:59:36.440
<v Speaker 22>The Fat Greek in Ukaipa on Ukuipa Boulevard across from

1154
00:59:36.480 --> 00:59:39.760
<v Speaker 22>the golf course near Oakland Boulevard, open every day except Tuesdays.

1155
00:59:39.800 --> 00:59:42.320
<v Speaker 22>You can pre order a holiday meal at gofat Greek

1156
00:59:42.360 --> 00:59:45.880
<v Speaker 22>dot com. That's gofat Greek dot com and Happy Holidays

1157
00:59:45.880 --> 00:59:47.880
<v Speaker 22>from the Fat Creek. And while you're at it, don't

1158
00:59:47.880 --> 00:59:50.599
<v Speaker 22>forget to say opah this holiday season.

1159
00:59:55.480 --> 01:00:00.000
<v Speaker 6>NBC News on CACAA Lomelada sponsored by Teamsters Local nineteen

1160
01:00:00.199 --> 01:00:04.039
<v Speaker 6>thirty two, Protecting the Future of Working Families Cheamsters nineteen

1161
01:00:04.119 --> 01:00:05.199
<v Speaker 6>thirty two dot org
