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Speaker 1: We have quite a number of trucks connected globally, and

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Speaker 1: I think connectivity is also the door opener for what

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Speaker 1: we're doing in automatic driving, having this opportunity to real

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Speaker 1: time have the data of a truck, knowing what is

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Speaker 1: happening with the truck at any point of time, also

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Speaker 1: in safety situations, to make sure that you have the

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Speaker 1: right data there in other situations as well in case

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Speaker 1: of service events on the truck. So this is really

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Speaker 1: exciting and full stuff, and connectivity is a big portion

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Speaker 1: of it. Just imagine. I mean, if you're able to

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Speaker 1: flash over the air, if you can set parramid ors

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Speaker 1: over the air. In the past, you would need to

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Speaker 1: go to a service station or to a dealer to

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Speaker 1: do all of that, and now you can suddenly do

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Speaker 1: that over the air. What a difference. Welcome to the

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Speaker 1: restless ones. I'm Jonathan Strickland. As you may know, I've

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Speaker 1: spent the last fifteen years covering technology and learning how

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Speaker 1: it works, demystifying everything from massive parallel processing to advanced

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Speaker 1: robotics and everything in between. Yet it's the conversations with

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Speaker 1: some of the most forward thinking leaders, those at the

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Speaker 1: intersection of technology and business that fascinate me the most.

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Speaker 1: I was very excited to speak with Loots back. I

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Speaker 1: have long seen the automotive industry as being a sort

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Speaker 1: of loadstone for technology. Some technological advancements can go unnoticed

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Speaker 1: even as they change how we work and live. But

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Speaker 1: with the automotive industry, changes can be much more obvious.

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Speaker 1: They can be tactile. We understand them because we have

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Speaker 1: a history with vehicles. That's what made me really excited

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Speaker 1: to speak with Loots. I wanted to know more about

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Speaker 1: how in the current era of automotive industry, our vehicles

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Speaker 1: have transformed. They're no longer purely mechanical inventions. They are

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Speaker 1: a key component in the digital landscape. They are centered

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Speaker 1: to so many of the big topics in technology, data

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Speaker 1: collection and analysis, artificial intelligence, machine learning, and of course connectivity.

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Speaker 1: But before we jump into all of that, I really

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Speaker 1: wanted to hear how Lutz's career got its start. Lutz,

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Speaker 1: thank you so much for joining us on The Restless Ones.

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Speaker 1: We are so pleased to have you on the show. Yeah,

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Speaker 1: thank you also for the invitation. So I was wondering

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Speaker 1: if you could tell us a bit about how you

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Speaker 1: got started in the automotive industry. I was working for

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Speaker 1: quite some time in the consulting area, and as it is,

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Speaker 1: you're basically running a lot of projects. And I was

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Speaker 1: designed to the automobile Tift group, and then it was

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Speaker 1: dragging me into more and more of the automotive projects

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Speaker 1: in various functional areas, and then moved more and more

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Speaker 1: into the sales in the aftermarket area. And then Diamer

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Speaker 1: at that point of time said hey, why you're not

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Speaker 1: joining us? You would be good on our side, So

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Speaker 1: come join us and and be part of the company.

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Speaker 1: That's fantastic. Can you describe what it is you do

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Speaker 1: at Diamler What are your responsibilities there? So um ce

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Speaker 1: io of Diamnod Trucks North America. I'm running what we

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Speaker 1: call one segment of Diamonod Truck and Diamald Trucks North

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Speaker 1: America is actually the biggest segment with the highest volume

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Speaker 1: and biggest revenue and also the biggest abbit, so I

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Speaker 1: have quite a huge responsibility. And in parallel, I'm running

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Speaker 1: the autonomous activities of Diamod Truck. My team is working

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Speaker 1: on that for the global market. And then of course

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Speaker 1: certain responsibilities also in terms of what we call I

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Speaker 1: T strategy and I transformation specifically, when you're looking in

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Speaker 1: everything what we're doing now with the new technology, how

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Speaker 1: to change the I into what I would call a

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Speaker 1: driver of change for the company by using technology in

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Speaker 1: different ways. So I have that all a bit under

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Speaker 1: my umbrella. And as North America is one of the

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Speaker 1: driving markets and ahead a bit of other regions, so

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Speaker 1: we're setting also the pace for other regions where they

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Speaker 1: can follow and copy a lot of the topics which

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Speaker 1: we are doing here into their regions as well. I

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Speaker 1: find it endlessly fascinating that obviously I T has been

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Speaker 1: transformational across every industry, but in the automotive industry in particular.

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Speaker 1: I think for a lot of people it can start

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Speaker 1: to sound counterintuitive. They really associate vehicles with creations that

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Speaker 1: are mechanical, and they might think you might have I

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Speaker 1: T on the back end for things like sales or design,

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Speaker 1: R and D that kind of thing. But we've really

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Speaker 1: reached a point where our vehicles are also data collectors

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Speaker 1: and data generators, and that the analysis of that data

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Speaker 1: ends up being a key component in the industry itself.

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Speaker 1: Can you talk a bit about how important data collection

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Speaker 1: and data analysis is too, dime War's mission. It's interesting

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Speaker 1: that you're mentioning that because at the end of the day, yes,

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Speaker 1: everybody is looking to let me call it a truck

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Speaker 1: as a mechanical product. We from an I T point

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Speaker 1: of view, we are looking as a truck as a

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Speaker 1: digital asset. So for me, a truck is a digital

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Speaker 1: asset in the IoT world, in the world which we

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Speaker 1: are having now, which is producing, as you said, a

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Speaker 1: lot of data and which is connecting with a lot

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Speaker 1: of systems, a lot of different environments, ecosystems in the

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Speaker 1: whole space. And what we have in plan is basically

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Speaker 1: that we said with the data we are collecting, with

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Speaker 1: everything what we're doing on the analytic space, we want

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Speaker 1: to drive first of all to a data driven organization

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Speaker 1: and at the end of the day, their ultimate target

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Speaker 1: is from an I T point of view, to build

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Speaker 1: the intelligent company, which is using data as one of

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Speaker 1: the key assets to drive decision making. So what we're doing,

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Speaker 1: we're collecting more and more, we're using more and more.

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Speaker 1: Of course, we are filtering as well, because at the

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Speaker 1: end of the day, either you cannot use data due

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Speaker 1: to legal topics, or you you don't need to use

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Speaker 1: the data at all, and then you need to figure

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Speaker 1: out how you use the data, do the analytics on it.

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Speaker 1: I want to drive the organization to a data mindset

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Speaker 1: and also say, okay, how can we use data in

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Speaker 1: a completely different way, not just for decision making, but

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Speaker 1: also leveraging for new services which we are offering to

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Speaker 1: our stomers, to our dealers, and using data as as

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Speaker 1: a key key set to to generate revenue and profit

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Speaker 1: at the end of the day for the company as well.

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Speaker 1: It's mind boggling to me because I just think about

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Speaker 1: the amount of information a single vehicle might generate, and

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Speaker 1: then you extrapolate that across an entire fleet of vehicles.

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Speaker 1: As you say, one of the big challenges there ends

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Speaker 1: up being determining what points of information are going to

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Speaker 1: be relevant and useful to you and being able to

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Speaker 1: narrow that focus in and to find the signal amongst

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Speaker 1: all the noise. So your discussion of turning Daimler into

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Speaker 1: this information oriented and information driven company really resonates with me.

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Speaker 1: You also mentioned that you are leading efforts in the

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Speaker 1: realm of autonomy and autonomous driving. Can you talk a

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Speaker 1: little bit about the components that are really necessary in

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Speaker 1: order to make a truly autonomous vehicle a reality. I

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Speaker 1: do believe there is a huge, huge opportunity specifically for

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Speaker 1: the trucking industry making that a reality, and it's public

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Speaker 1: knowledge that we are we're working on that with partners,

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Speaker 1: collaboration with way more on the topic as well that

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Speaker 1: we have Torque as a company here as well. So

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Speaker 1: I mean, for me, this is some kind of the

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Speaker 1: future and definitely needed. There is still a way to go,

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Speaker 1: but I think it's very very exciting and the way

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Speaker 1: you can do things nowadays. As you just mentioned, when

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Speaker 1: we are coming from this age of business intelligence at

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Speaker 1: a certain point of time, and this was evolving more

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Speaker 1: and more, not just from a reporting into analytics, and

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Speaker 1: now it's basically driving, artificial intelligence, machine learning, all these

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Speaker 1: topics which are helping us actually to realize this automated driving.

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Speaker 1: It was a very short time spent to develop all

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Speaker 1: of that and now you see even further dynamics in

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Speaker 1: the evolution of the technology which are helping. So I'm

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Speaker 1: really excited about that for me, you know, I mean,

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Speaker 1: at the end of the day, automotive industry is actually

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Speaker 1: the place to be at the moment because there is

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Speaker 1: so much of changes, There is so much of disruption

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Speaker 1: specifically on the technology space, and we see that there

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Speaker 1: is so much energy also on the team's working on

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Speaker 1: that one. I'm always happy going down there to our

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Speaker 1: test trick and sitting in one of the autonomous trucks

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Speaker 1: and and just let it run. When you have that

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Speaker 1: on the street at a certain point, I think it

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Speaker 1: was a big achievement for the industry in total. If

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Speaker 1: this is realized, then I have to say Lud's I

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Speaker 1: am envious of the experience of being able to sit

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Speaker 1: in one of those test vehicles because I've been covering

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Speaker 1: autonomous driving technologies for a while now, but I have

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Speaker 1: actually never been in one of those vehicles. I've been

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Speaker 1: in vehicles that have had advanced driver assess features that

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Speaker 1: start to approach maybe it's like a level to autonomy.

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Speaker 1: If we're thinking about the classic five levels of autonomous driving.

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Speaker 1: How does connectivity play a part in Daimler's strategy. What

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Speaker 1: does connectivity make possible? We have quite a number of

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Speaker 1: trucks connected globally, and I think connectivity is also the

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Speaker 1: door opener for what we're doing in automatic driving. Having

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Speaker 1: this opportunity to real time have the data of a truck,

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Speaker 1: knowing what is happening with the truck at any point

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Speaker 1: of time, also in safety situations, to make sure that

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Speaker 1: you have the right data there in other situations as

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Speaker 1: well in case of service events on the truck. So

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Speaker 1: this is really exciting and cool stuff and we're running

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Speaker 1: that since years now, and we have partnerships in this

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Speaker 1: area as well. But from my point of view, you know,

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Speaker 1: having this connection, having this data available real time, being

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Speaker 1: able to do analytics, seeing also what is happening driving

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Speaker 1: decisions like service events, to make sure is that the

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Speaker 1: service now, is that the service soon event? And of

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Speaker 1: course based on what we're gathering on data, we even

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Speaker 1: try to do build more services and see how can

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Speaker 1: we improve even more because our target is at the

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Speaker 1: end of the day to have twenty four hours up

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Speaker 1: time for our customers for our fleets, which is securing

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Speaker 1: the business on their side, and connectivity is a big

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Speaker 1: portion of it. Just imagine, I mean, if you're able

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Speaker 1: to flash over the air, if you can set parramid

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Speaker 1: ors over the air, where in the past you would

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Speaker 1: need to go to a service station or to a

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Speaker 1: dealer to do all of that, and now you can

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Speaker 1: suddenly do that over the air. What a difference taking

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Speaker 1: a few minutes. And this is all available now. And

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Speaker 1: now the combination because we are combining that when you're

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Speaker 1: looking into what we call case connectivity, automated service and immobility,

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Speaker 1: this is all coming together. This is the technology, this

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Speaker 1: is the future, and this is the future of trucking.

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Speaker 1: And of course it's also a big learning still every

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Speaker 1: single day. Now it's a big learning because we are

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Speaker 1: gathering so much of data and you can do so much,

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Speaker 1: can do predictive maintenance, you can do other topics, and

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Speaker 1: this is so much of value where we would never

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Speaker 1: have fought off that we can do that. So that's

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Speaker 1: the reason why I'm always saying to my team, you know,

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Speaker 1: there is no limit anymore. Technology will be able to

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Speaker 1: do everything. The only limit is ourselves if we don't dream,

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Speaker 1: if we don't think that we can achieve it. I

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Speaker 1: love the thought the limit does not exist. A powerful statement, indeed,

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Speaker 1: and I really think that that's an incredible value proposition

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Speaker 1: to customers to being able to anticipate things before they

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Speaker 1: escalate to becoming a problem. Having that and giving the

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Speaker 1: information to customers so that they are more efficient they

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Speaker 1: have reduced costs. I think that this expands beyond the

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Speaker 1: automotive industry when we start to think about any company

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Speaker 1: that provides services, the ability to anticipate is becoming an

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Speaker 1: absolute key component to business strategy. That this is part

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Speaker 1: of what you get when you are buying into that

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Speaker 1: company's ecosystem. The value can't be overstated. I think nobody

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Speaker 1: can really go out of this anymore because at the end,

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Speaker 1: you know you're you're creating more and more. As you said,

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Speaker 1: also this ecosystem, you're in part of the ecosystem. But

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Speaker 1: just imagine having not just two trucks connected, having traffic

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Speaker 1: could optimize certain things, how we could use certain things

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Speaker 1: in a complete different way. One thing we love to

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Speaker 1: talk about on this show is five G and it's impact.

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Speaker 1: And I'm curious, how is Daimler taking advantage of five

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Speaker 1: G technology with you know, it's high bandwidthin low latency abilities.

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Speaker 1: How are you incorporating this technology or or treating this

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Speaker 1: technology in terms of your business strategy. First of all,

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Speaker 1: we are using it, of course, and it's helping us,

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Speaker 1: especially when we're talking about connectivity and automatic driving. But

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Speaker 1: now just imagine, you know, if we're looking at USA

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Speaker 1: areas with high population density. Right now, trucking is going

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Speaker 1: a full coverage of everything, what the opportunity would be.

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Speaker 1: So of course we are using it and we're happy

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Speaker 1: that we have it available. Conventional thinkings as businesses can't

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Speaker 1: get ready to deploy nationwide five G today. I want

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Speaker 1: the world, But T Mobile offers the largest fastest five

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Speaker 1: G network in America, would nearly four times the five

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Speaker 1: G coverage of Verizon ready right now, I want it now,

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Speaker 1: Getting the five G network you need where you need it.

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Speaker 1: That's unconventional thinking from T Mobile for business. That's just

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Speaker 1: based on media and overall combined five speeds of point

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Speaker 1: analysis by ula of speed test intelligence data fived dowload

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Speaker 1: speeds for Q five device coverage and access details at

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Speaker 1: mobile dot com. Well out of curiosity, we've talked a

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Speaker 1: lot about, you know, autonomous driving. Do you anticipate a

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Speaker 1: future where things like smart infrastructure. We kind of touched

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Speaker 1: on this with the smart like traffic lights, for example.

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Speaker 1: But you know, we're looking at areas such as up

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Speaker 1: in Michigan where they're building out a smart roadway between

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Speaker 1: I think Detroit and Arbor. Then are you anticipating a

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Speaker 1: time where we have smart infrastructure that's in potentially constant

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Speaker 1: communication with autonomous vehicles, or maybe a system where autonomous

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Speaker 1: vehicles are in communication with one other. I think a

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Speaker 1: lot of people are looking at autonomous driving and thinking

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Speaker 1: of them is almost like self contained computer systems. I'm

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Speaker 1: curious if you think of it as the future is

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Speaker 1: going to be more like a network and less like

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Speaker 1: a bunch of independent little islands that are all autonomous.

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Speaker 1: I'm a big believer in the smart cities concept. Just

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Speaker 1: imagine you're driving with your car on the highway. You

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Speaker 1: drive off the highway, there is an invisible hand taking

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Speaker 1: destination because there is all this traffic information. For me,

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Speaker 1: this is not that far off. I think it's possible,

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Speaker 1: and we will have that at a certain point, and

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Speaker 1: we will have smart city concepts with the transportation. I

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Speaker 1: do believe with everything we we do in technology, there

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Speaker 1: will be a time where we will be able to

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Speaker 1: see all of that. I love that vision because I

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Speaker 1: love the thought of interconnected systems that improve efficiencies in

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Speaker 1: ways that are completely apparent. I think a lot of

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Speaker 1: what we're seeing now with automation, artificial intelligence, machine learning,

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Speaker 1: we're seeing a lot of processes being smoothed out, but

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Speaker 1: it's not necessarily obvious to the average person. When you're

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Speaker 1: talking about something like a system that gets people to

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Speaker 1: where they need to be smoothly, that it starts to

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Speaker 1: reduce or perhaps even eliminate things like traffic congestion, you

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Speaker 1: see this ripple effect that has a benefit that is

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Speaker 1: obvious to everyone. Having a system where it affects something

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Speaker 1: that is as universal as transportation, I think that's going

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Speaker 1: to be an undeniable big win for a I. Automation

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Speaker 1: and machine learning. When I was growing up, you know,

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Speaker 1: I was still carrying a map of a city. Nowadays,

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Speaker 1: you have Google Maps or whatever. You have your smartphone

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Speaker 1: and everything is on there, and it's even more accurate

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Speaker 1: than a map which was outdated if you had an

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Speaker 1: old one and whatever. So for me, we are dealing

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Speaker 1: with it every single day. We are working with every

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Speaker 1: single day, and we just advancing basically every single day

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Speaker 1: on something. So it's not more notable as big chump

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Speaker 1: as it was when we had suddenly coming to the smartphones.

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Speaker 1: But there will be another chump, like you said, with

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Speaker 1: the automatic driving and the smart city concept and this

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Speaker 1: whole connected ecosystems, there will be another big chump. And

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Speaker 1: you look in the past, in a lot of ways,

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Speaker 1: technology was a bit a limiting factor, And the only

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Speaker 1: thing is we need to look at how we applying

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Speaker 1: that all, how we can use that, how we can

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Speaker 1: generate the value out of it. This is also a

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Speaker 1: bit of a shift because I'm not more looking into okay,

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Speaker 1: I cannot do it because I do not have the technology.

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Speaker 1: Now I'm looking into it, Okay, what kind of skills

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Speaker 1: I need, what kind of people I need, what kind

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Speaker 1: of processes I need in order to realize that with

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Speaker 1: the technology which is existing. You also mentioned earlier about

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Speaker 1: looking at information technology in the automotive industry in the

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Speaker 1: different ways that can deliver value, including ways of creating

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Speaker 1: new revenue streams. Can you give us a few use

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Speaker 1: cases of revenue streams that are possible because of the

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Speaker 1: evolution of it within the automotive industry. I mean, if

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Speaker 1: you look at it right, I mean, connectivity is a

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Speaker 1: good thing. I mean there is a collection of data.

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Speaker 1: There is analytics which you can build based on the data.

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Speaker 1: When using data we know, all of us know. Now

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Speaker 1: you have to consider what is the privacy laws, what

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Speaker 1: is other regular aations which are coming into play here.

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Speaker 1: But at the end, you know, a predictive maintenance service

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Speaker 1: is a service which you can offer. You can say, hey,

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Speaker 1: I'm working with my customers on that, and this is

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Speaker 1: giving them a value because there's giving them valuable insights

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Speaker 1: for their topics. Or when you're having a data available

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Speaker 1: and you're using this data for fleet services, route optimization,

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Speaker 1: something like that is could be a valuable service as well.

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Speaker 1: There is other ideas of course as well, which are

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Speaker 1: built basically on the foundation of the data. And on

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Speaker 1: this foundation there is a lot of companies building another

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Speaker 1: applications on top of it or apps on top of it,

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Speaker 1: and that's something where we where we need to look

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Speaker 1: into it because I mean, just imagine again, I mean

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Speaker 1: the value having the truck running twenty four hours without

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Speaker 1: any problem, rather than having the truck for two or

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Speaker 1: three hours somewhere in a service station is incredible. So

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Speaker 1: you bring the downtime of the truck. Actually you you

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Speaker 1: minimize and this is something we need to look at.

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Speaker 1: And there is enough customers out there they say, hey,

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Speaker 1: this is so valuable for me. I subscribe to this

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Speaker 1: kind of services. I couldn't let LUTs go without asking

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Speaker 1: one more thing. Is there anything you would like to

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Speaker 1: add or share about Daimler that we have not covered today?

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Speaker 1: I mean, the the only thing I can say, right,

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Speaker 1: I mean you mentioned that before. I mean, the automotive

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Speaker 1: industry is in a complete disruption at the moment. There

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Speaker 1: is so much of things ongoing, There is so much

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Speaker 1: of topics there. I can just say. You know, from

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Speaker 1: my point of view, it's one of the coolest industry

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Speaker 1: you can be in at the moment when you're working

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Speaker 1: with technology, because there is so much of opportunities to

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Speaker 1: use and to learn specifically also for when you're coming

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Speaker 1: from college or whatever. Were right, So I do believe,

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Speaker 1: you know, automotive is at the moment in a complete change.

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Speaker 1: Also with this connectivity with automated with immobility. You know,

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Speaker 1: I'm working in this industry now for a very long time,

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Speaker 1: and it was always very interesting. It was always a

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Speaker 1: lot of changes, there was always a lot of topics coming.

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Speaker 1: But I never had this kind of exciting time in

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Speaker 1: the company, just due to the fact that we are

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Speaker 1: actually really changing completely and everything that we're doing on

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Speaker 1: the immobility, everything what we're doing on automotive, automated, and

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Speaker 1: also on the on the connectivity space further on. Right,

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Speaker 1: it's just a blast where you go to the office

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Speaker 1: or you go to work, because it's not necessarily only

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Speaker 1: in the office is wherever, but you go to work

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Speaker 1: and you say, hey, this is something really really cool

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Speaker 1: what I'm doing here, and I want to experience more

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Speaker 1: because I just have all the opportunities to apply everything

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Speaker 1: what I what I know, and I'm learning every day

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Speaker 1: something new. Especially this is something where I'm where I'm

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Speaker 1: just saying, and we're happy as I'm not to continue

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Speaker 1: building and innovating and inventing solutions in all the spaces

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Speaker 1: we're in to look into that and being the company

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Speaker 1: we always were, right, I mean, at the end of

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Speaker 1: the day, we invented the automobile, and I think this

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Speaker 1: is a heritage we need to continue and and inventing

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Speaker 1: more and more things also for the future. Well, Luis,

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Speaker 1: thank you so much for joining us on the show.

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Speaker 1: It's been a real pleasure to have this conversation with you.

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Speaker 1: Thank you also, thank you very much, thanks once again

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Speaker 1: to loots Back for joining the show. It was I

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Speaker 1: opening to me to look beyond the consumer perspective of

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Speaker 1: how the automotive industry is undergoing digitization. And getting that

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Speaker 1: deeper appreciation of how data can transform not just a

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Speaker 1: business like Daimler, but Daimler's customers is really exciting. I

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Speaker 1: anticipate we'll see the learnings improved. Not just vehicles and

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Speaker 1: business strategies that will happen, but we're also going to

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Speaker 1: see it improve how cities work and how traffic works.

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Speaker 1: Things that we just accept are a specific way are

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Speaker 1: actually going to change, and the benefits we see from

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Speaker 1: those changes are going to be too many to list.

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Speaker 1: Please be sure to check out our future episodes of

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Speaker 1: The Restless Ones. Season three has already rocketed off to

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Speaker 1: an amazing start, and we aren't slowing down from here.

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Speaker 1: I'll see you then. Conventional thinking says you have to

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Speaker 1: pay more to get more. I want the world, but

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Speaker 1: team Obile for Business uses unconventional thinking to deliver premium

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Speaker 1: benefits for better r o I. From customized five G

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Speaker 1: solutions to three sixties support, we help you reach your

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Speaker 1: business goals right now, I want it now, Innovating to

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Speaker 1: improve business today and tomorrow. That's unconventional thinking from T

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Speaker 1: Mobile for Business. Capable device required covers not available in

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Speaker 1: some areas. Some US require certain planter features cet mobile

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Speaker 1: dot com