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Speaker 1: Welcome to the Restless Ones. I'm Jonathan Strickland. I've spent

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Speaker 1: the last twelve years covering technology and learning how it works,

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Speaker 1: demystifying everything from massive parallel processing to advanced robotics and

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Speaker 1: everything in between. As we stand at the beginning of

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Speaker 1: a new era of unprecedented connectivity with the rollout of

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Speaker 1: five G technology, I'm partnering with T Mobile for Business

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Speaker 1: to sit down with some of the visionary leaders in

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Speaker 1: tech across all industries from companies like Intuit, FedEx, many

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Speaker 1: more than play an integral part of our economy to

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Speaker 1: get a better understanding of how tech and connectivity will

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Speaker 1: change business forever. These leaders are the pioneers who don't

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Speaker 1: follow trends. They define them. This show is their story.

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Speaker 1: They are the restless Ones. So when you stop marching

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Speaker 1: up the videos slow boats of autonomy and you're augmenting

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Speaker 1: the human intelligence to avoid that the error rate, you

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Speaker 1: need that real time power in connectivity with five G

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Speaker 1: helps that real time decision making because you have near

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Speaker 1: real time processing of the data. Since the original recording

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Speaker 1: of this interview and as of January one, b s

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Speaker 1: A Group and Fiat Chrysler Automobiles officially merged to create Stellantis,

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Speaker 1: bringing together fourteen vehicle brands across the globe. Our featured guest,

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Speaker 1: Mantha to Mardi, also assumed a new role within the organization.

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Speaker 1: Mantha is currently the head of the Software Business and

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Speaker 1: Product Management pan L at Stellantis. All references to Fiat

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Speaker 1: Chrysler and Mantha's prior role as chief information Officer were

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Speaker 1: based on when the episode was recorded. In today's episode,

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Speaker 1: I said down when Manta to Martin, the ce IO

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Speaker 1: of the Art Chrysler. Manta has been at the front

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Speaker 1: end center as the automotive industry has transformed thanks to

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Speaker 1: digital technology. I wanted to get her perspective on how

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Speaker 1: leaders can take what could be an existential crisis of

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Speaker 1: disruption and turn it into a massive opportunity for unprecedented success,

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Speaker 1: as well as to learn how improved connectivity paves the

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Speaker 1: way for the future. Not surprisingly, much of what she

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Speaker 1: had to share complimented what I learned from our previous episode,

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Speaker 1: where I spoke with Fedexcess c I O Rob Carter.

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Speaker 1: He provided insight on how the transportation industry as a

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Speaker 1: whole is changing. Customer centric is key, Mobility services is key.

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Speaker 1: We have evolved to a stage now there is a

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Speaker 1: lot more sensors in the car. We are collecting a

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Speaker 1: lot of data about the car. We are collecting a

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Speaker 1: lot of data about the customer. Today's customer is addicted

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Speaker 1: to convenience, So we have to become customers centered because

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Speaker 1: that's that's where today's that's where we meet today's customer,

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Speaker 1: not just with the product, but the product that's summerged in.

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Speaker 1: Understanding the customer experience who's using our product is also important.

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Speaker 1: So how does technology play a role in that? Tech

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Speaker 1: now today impacts all aspects of the business, but then

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Speaker 1: collecting data from the product if you look at that

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Speaker 1: whole customer experience. The part one is your business. How

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Speaker 1: do you enhance and continue to protect your business? And

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Speaker 1: then the next is getting into incremental and also into

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Speaker 1: new business models with technology. With the data that you collect,

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Speaker 1: what can I get out of this data? Can I

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Speaker 1: give an alert to the driver that you're brake pads

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Speaker 1: are waiting out And by the way, I have ordered

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Speaker 1: a new set of brake pads at this particular dealership

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Speaker 1: which is on your way to work. And if you

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Speaker 1: drop off your vehicle or do you want at an

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Speaker 1: extra cost that service to come to you, but having

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Speaker 1: more sensors and vehicles collecting data as well as we're

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Speaker 1: now firmly in the era of big data where we

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Speaker 1: can analyze for patterns that before would have never even

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Speaker 1: emerged for us. I've heard you say before that the

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Speaker 1: automotive industry, if you look at the classic industry, was

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Speaker 1: all about mechanical engineering, and now it's really computer science.

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Speaker 1: Can you talk a little more about that transformation and

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Speaker 1: what you have seen in your career, how that transformation

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Speaker 1: has sort of progressed autonomous, connected electric and shared mobilities

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Speaker 1: like aces or case um. How would you say it

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Speaker 1: is causing a tsunami of disruption. Each one of these

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Speaker 1: trends in itself is a massive disruption or a disruptive force.

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Speaker 1: But what's happening is these forces are converging and all

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Speaker 1: of this is possible because of where we are with technology.

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Speaker 1: When you talk about artificial intelligence, we have been in

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Speaker 1: there in the I T world. We have been talking

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Speaker 1: about artificial intelligence for a very long time. But today

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Speaker 1: we are able to take all of that data, analyze

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Speaker 1: that data, form patterns with that data, start going from

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Speaker 1: historical reporting to predictive and prescriptive because we have the

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Speaker 1: right kind of computing power and the right kind of storage,

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Speaker 1: and the storage is now much more affordable, and computing

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Speaker 1: is also much more affordable. Autonomy will not be possible

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Speaker 1: without these advances and technology. Just look at today, If

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Speaker 1: you look at the automotive industry, one point two million

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Speaker 1: people die every year, and of this is because of

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Speaker 1: human error. And what can artificial intelligence and the storage

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Speaker 1: and computing at the edge can unleash in terms of

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Speaker 1: the power in augmenting human decision making, keeping you in

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Speaker 1: the lane so that you're not distracted and you're you know, uh,

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Speaker 1: changing the lane unintentionally and hitting someone or applying an

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Speaker 1: emergency brake, and you know, having a car come to

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Speaker 1: a scan still because you're going to go hit someone.

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Speaker 1: That kind of augmenting technology, augmenting human decision making. How

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Speaker 1: do you anticipate Fiat Chrysler taking advantage of the rollout

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Speaker 1: of five G networks in an effort to sort of

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Speaker 1: enable these technologies we've been talking about that are primarily

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Speaker 1: intended to remove that nine percent human error that uh,

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Speaker 1: that's I mean, that's just such a looming stay his

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Speaker 1: stick and to get that number down even a little

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Speaker 1: bit would be a phenomenal, phenomenal uh feet. So how

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Speaker 1: do you think Chrysler will be leveraging five G as

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Speaker 1: it evolves in the future in order to attain those goals.

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Speaker 1: I think when we talk about level four and level

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Speaker 1: five autonomy, I think that's where I think, even in

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Speaker 1: the earlier cases of autonomy, it's important to have five

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Speaker 1: G and to have persistent, reliable communications. But I think

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Speaker 1: with the complete autonomy, you need a lot more persistent connectivity.

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Speaker 1: So let's take the um connected connected autonomous car. If

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Speaker 1: the car knows that it's going from point eight to

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Speaker 1: point B, and it knows that it's constantly adapting for

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Speaker 1: the optimal route, and it's collecting the data from not

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Speaker 1: only um it's surroundings, but from the infrastructure and the

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Speaker 1: weather information and everything that the car needs to know

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Speaker 1: to take the person safely from point A to point

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Speaker 1: and such kind of persistent connectivity will help right to

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Speaker 1: not only find the most efficient path, so to reduce

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Speaker 1: the carbon footprint. So when you start marching up the

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Speaker 1: various levels of autonomy and you're augmenting the human intelligence

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Speaker 1: to avoid that the error rate, you need that real

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Speaker 1: time power and connectivity with five G helps that real

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Speaker 1: time decision making because you have near real time processing

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Speaker 1: of the data. I think technology is such a critical

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Speaker 1: enabler across all four of the trends. With connectivity, we've

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Speaker 1: already gone from where we have level one connectivity just

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Speaker 1: having connected connectivity at the hardware level two. Now we

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Speaker 1: are moving into much more personalized service. Do you want

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Speaker 1: to use the native voice functionality in the car or

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Speaker 1: do you want to connect your Alexa profile to the

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Speaker 1: car and use Alexa to wake up your car, or

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Speaker 1: better yet, use Alexa's embedded code and name your car

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Speaker 1: whatever you want to name it. You want to call

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Speaker 1: your car Bob, you won't say hey, Bob, wake up,

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Speaker 1: and then it knows that you're trying to activate the

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Speaker 1: voice on the car. So that is the personalization to

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Speaker 1: then moving to convenience. I know where you are. I

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Speaker 1: know with all these senses that are there on your

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Speaker 1: body and in the car, that you're hungry, or you

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Speaker 1: have a medical emergency that I'm sending in the event

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Speaker 1: of a medical emergency, I'm sending an ambulance to you.

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Speaker 1: The it some level of information to whoever are the

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Speaker 1: medical technicians that are coming to you saying this is

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Speaker 1: what we have collected through the census in the car

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Speaker 1: on the body, right, and then move to electrification. Electrification

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Speaker 1: is not just about the power train in the car,

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Speaker 1: but if you are running out of charge, leading the

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Speaker 1: car to a safe place so that you can charge

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Speaker 1: the car, and then shared mobility was possible for Uber

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Speaker 1: or anyone because of technology. Right. So technology is playing

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Speaker 1: a central role in almost all of the disruption that

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Speaker 1: we are seeing in the automotive industry. And that's why

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Speaker 1: the tech industry is taking such a keen interest because

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Speaker 1: they know how to take data, create patterns with the data,

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Speaker 1: and provide convenience features. Yeah, I've noticed that, and I've

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Speaker 1: said this that that cars I think kind of represent

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Speaker 1: the tip of the spear when it comes to to

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Speaker 1: a lot of the technologies you were specifically alluding to.

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Speaker 1: What would you say is the most exciting thing from

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Speaker 1: your perspective with the way digital technology is is integrating

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Speaker 1: into the automotive industry in general, I think if you

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Speaker 1: look at today there you know, software is becoming a

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Speaker 1: lot more embedded in the car than before. Today there

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Speaker 1: are about hundred million lines of code in the car

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Speaker 1: and with complete autonomy, which is level four level five

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Speaker 1: autonomy in the car, we're talking about three hundred million

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Speaker 1: lines of code, so that means an increase of sensors

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Speaker 1: collecting the data. And I think for me, the most

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Speaker 1: exciting is when this technology starts making an impact on

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Speaker 1: saving human lives. When this technology starts making an impact

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Speaker 1: on avoiding traffic congestion or managing the traffic flow and

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Speaker 1: improving the productivity, that's great insight as well. We'll be

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Speaker 1: right back with more of my conversation with Manta Chi

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Speaker 1: Marti right after the break. If there's one thing most

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Speaker 1: businesses can agree on these days, it's that change has

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Speaker 1: never come about so quickly. New ways of working have

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Speaker 1: become the norm. As a result, the status quo no

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Speaker 1: longer cuts it when it comes to helping businesses adapt

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Speaker 1: and innovate. That's why T Mobile for Business uses unconventional

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Speaker 1: thinking to help businesses work smarter and grow faster. Only

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Speaker 1: T Mobile offers America's largest and fastest five gene network.

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Speaker 1: It's just one reason they're better able to help businesses

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Speaker 1: solve the real world challenges they face as they evolve.

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Speaker 1: For instance, their new w F x solutions help team

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Speaker 1: members stay connected and productive where work happens. With nearly

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Speaker 1: two and a half times the network coverage of A

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Speaker 1: T and T nearly four times more than Verizon, and

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Speaker 1: forty billion dollars invested in network and business improvements over

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Speaker 1: the next three years, T Mobile for Business is better

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Speaker 1: for your business right now and into the future. See

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Speaker 1: what they can do for your organization at T mobile

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Speaker 1: dot com. SLASH Unconventional Open Signal awarded to mobile fastest

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Speaker 1: five G network based on average speeds. USA five G

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Speaker 1: User Experience Report January. Capable device required coverage not available

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Speaker 1: in some areas. Some users may require certain planner features

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Speaker 1: see T mobile dot com. So we've talked a little

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Speaker 1: bit about the fact that computing has progressed to a

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Speaker 1: point and the storage has progressed to a point where

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Speaker 1: edge computing is now a real possibility in lots of

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Speaker 1: different implementations. Underlying that, as you mentioned earlier, obviously the

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Speaker 1: network connectivity is has been a limiting a factor for

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Speaker 1: quite some time, but now we're starting to see the

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Speaker 1: rollout of things like five G. We're gaining that that

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Speaker 1: low latency, high data throughput network connectivity. How do you

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Speaker 1: foresee that playing a role in the automotive industry moving forward.

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Speaker 1: I think for us to reach that nirvana of level

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Speaker 1: four five autonomy, persistent reliable communications is also a critical enabler.

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Speaker 1: That's why in the aces, connected is also enabling force

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Speaker 1: for autonomous electric as well as shared because the foundational

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Speaker 1: trust when someone gets into a car as a driver

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Speaker 1: or as a rider is that they would safely go

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Speaker 1: from point A to point B. And when you're talking

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Speaker 1: about that level four level five autonomy, there there is

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Speaker 1: no driver. Okay, when there is a loss connectivity, the

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Speaker 1: driver is able to make the decisions. So you don't

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Speaker 1: have that human driver anymore, and so you cannot have

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Speaker 1: that loss of connectivity or have those dead zones where

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Speaker 1: the car is no longer connected, because the car has

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Speaker 1: to be connected all the time. That reliable, persistent connect

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Speaker 1: connectivity is important. Of course, we will have um fail

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Speaker 1: proof in case of loss of connectivity. What are the

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Speaker 1: redundancy that will take over? Even in level four five

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Speaker 1: cases of autonomy, we'll see that. But I think five

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Speaker 1: G will help us. In addition to the computing and storage,

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Speaker 1: five G will accelerate, so that would be from a

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Speaker 1: pure technology standpoint that will help us accelerate autonomy. And

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Speaker 1: then of course there is will humans trust this technology

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Speaker 1: and get into that level four or five autonomous car,

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Speaker 1: and then would that be affordable in terms of personal consumption.

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Speaker 1: So I feel like like that combination of the computing,

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Speaker 1: the storage, and the connectivity together all that had to

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Speaker 1: happen for that to become a possibility that very intelligent

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Speaker 1: people knowing how to leverage it. So not just having

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Speaker 1: the tools there, but how do you use the tools

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Speaker 1: to make something meaningful. I'm focusing a lot on the

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Speaker 1: consumer side simply because that's my perspective. But then I

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Speaker 1: sit there and think about the back end, about everything

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Speaker 1: that has to happen in order for the manufacturing part

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Speaker 1: of the process, the delivering vehicles to dealership sort of process.

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Speaker 1: If you look at the manufacturing side of the automotive,

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Speaker 1: and there are a few things that are happening and

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Speaker 1: that will continue to evolve. The edge computing that we

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Speaker 1: talked about for the car will happen in the manufacturing

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Speaker 1: space too. In the manufacturing we still have a lot

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Speaker 1: of um legacy systems, mainframe systems, local data centers. All

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Speaker 1: of those are a lot of costs overhead that we carry,

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Speaker 1: and I think those will go away with edge computing

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Speaker 1: and the data processing. Now we talked about just the

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Speaker 1: car being connected, there there are There is every physical

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Speaker 1: object now embedded with intelligence. So it's not just the car,

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Speaker 1: it's the entire infrastructure that we're talking about while the

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Speaker 1: smart cities, smart infrastructure, smart you know roads, smart everything.

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Speaker 1: If you have a mechanical object, how can I embed

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Speaker 1: intelligence into it? Now, take the same thing to the

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Speaker 1: manufacturing floor as your product is getting built. How can

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Speaker 1: you collect the intelligence and stop when you see anomalies

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Speaker 1: in the product so that you can avoid rework, you

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Speaker 1: can avoid scrap everyone in visus or ways millions of

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Speaker 1: dollars in that space. And as today the car is

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Speaker 1: only used with seven percent of the time. The rest

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Speaker 1: of the time it's sitting in a parking lot or

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Speaker 1: you know, garage or somewhere. But shared mobility, of course,

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Speaker 1: the utilization has gone up. But what if shared mobility

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Speaker 1: goes up or you know haaling right sharing, all of

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Speaker 1: those things they go up, and the utilization of the

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Speaker 1: down because it's increasingly utilized. It's not a good thing.

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Speaker 1: But how can we then take that into the manufacturing

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Speaker 1: and improve the quality of the product as it's being built.

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Speaker 1: So that's kind of an impact on the manufacturing side.

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Speaker 1: The other side is having transparency into the sourcing of

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Speaker 1: raw materials, where exactly are they coming from, and when

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Speaker 1: you have an issue, tracing it back to not only

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Speaker 1: this is the assembly line it was built in and

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Speaker 1: here's where the materials came from. We'll help you quickly

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Speaker 1: identify and get to the root cause of the issue.

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Speaker 1: So having that and newer technologies like blockchain enable that.

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Speaker 1: So a lot of coffee companies are using understanding the

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Speaker 1: sourcing of coffee beans. Now take the same logic to

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Speaker 1: the sourcing of raw materials in automotive. That surely is

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Speaker 1: a great possibility. And the whole vertical supply chain that

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Speaker 1: we have in the auto industry, oh em tier one,

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Speaker 1: tier two, tier three, that kind of is changing. Also.

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Speaker 1: It's not only these kind of tier on tier two,

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Speaker 1: but it's building an ecosystem bringing tech companies together with

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Speaker 1: your traditional suppliers, together with the semiconductor companies. So it's

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Speaker 1: it's with data aggregators. You're building an ecosystem along with

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Speaker 1: your customers so that you can co create the products together.

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Speaker 1: So there's so much that's changing, and they enabler being

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Speaker 1: that technology. I'm almost speechless. Let me ask you this.

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Speaker 1: We're going to transition now into thinking more about the future.

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Speaker 1: We've talked a little bit about it so far. It's

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Speaker 1: unavoidable when we talk about tech. We're really going to

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Speaker 1: focus on it now. So conservative estimate, when do you

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Speaker 1: think we hit that level four or level five autonomy? Oh?

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Speaker 1: This is this is a question that gets asked very frequently.

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Speaker 1: When is it? I think if you look at this

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Speaker 1: wasn't this was a year where kind of reality set

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Speaker 1: in for us. If you look at seventy six eighteen,

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Speaker 1: there was a lot of optimistic estimates when we will

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Speaker 1: see level four and level five autonomy. So level four,

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Speaker 1: level five? What autonomy depends on three conditions. The first

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Speaker 1: thing is technology, As I said, it's not just computing

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Speaker 1: in storage, but connectivity is also important, so with five

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Speaker 1: G So that's technology. And then technology along with regulation.

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Speaker 1: So if you have regulators saying, um, I want to

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Speaker 1: lower the carbon footprint in the cities, and I want

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Speaker 1: to make it almost zero. And you already see many

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Speaker 1: cities saying that we want zero carbon footprint. So technology

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Speaker 1: and regulation is one um perspective. The second is people

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Speaker 1: adopting this. You could have the technology, you could have

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Speaker 1: the regulation, but I should feel comfortable getting into that car.

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Speaker 1: So it's that human psychology. One is the behavior. Can

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Speaker 1: I get into that car? But once I get into

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Speaker 1: that car, because I can't out anticipate every road bump,

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Speaker 1: would I become nauseous? So making advances again, going back

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Speaker 1: to technology, making advances in transmission to a point where

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Speaker 1: my right is really smooth. That's the second adopted the

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Speaker 1: human adopting the technology trend. And the third aspect is affordability. Right,

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Speaker 1: can I afford with all of these technology advanced technology

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Speaker 1: within computing everything that we talked about, it is not cheap.

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Speaker 1: So can individual can I afford just for myself an

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Speaker 1: autonomous car? Maybe if I am a billionaire that is

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Speaker 1: interested in such kind of trying autonomy, maybe yes, Um,

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Speaker 1: But I think the first occurrences of autonomy level four,

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Speaker 1: level five would be what would be the most economical

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Speaker 1: usage of it. That would be robot taxis in geo

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Speaker 1: fenced applications like in the airport's we no longer think

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Speaker 1: that the train that we take in the terminals from

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Speaker 1: terminal to terminal or to the rental car place is autonomous, right,

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Speaker 1: so defined path it's going every day and we trust

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Speaker 1: that it's going to take us safely. That foundational aspect

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Speaker 1: of safety is important, and so I think the first

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Speaker 1: occurrences that we would see in the near future would

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Speaker 1: be around robotaxis, and then it would be mixed mobility

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Speaker 1: solutions as we evolve in the next ten fifteen years,

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Speaker 1: having a whole combination of vertical liftoffs to full autonomy.

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Speaker 1: As I mentioned, we are at the second greatest inflection

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Speaker 1: point in terms of transportation. So it's really exciting looking

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Speaker 1: forward into twenty five how we would be traveling, it's

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Speaker 1: just excites excites me. And how we can be shaping

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Speaker 1: this as we at Chrysler is just mind blowingly exciting.

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Speaker 1: That's fantastic, Thank you so much pleasure than Mantha is

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Speaker 1: the type of leader who thinks in terms of solving problems,

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Speaker 1: and when those problems include preventing unnecessary deaths, reducing environmental impact,

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Speaker 1: preparing our cities of the future to handle even larger populations,

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Speaker 1: all while keeping customers in mind and making sure that

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Speaker 1: the back end operations are efficient processes. You really begin

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Speaker 1: to appreciate the scales involved. We're seeing the pieces we

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Speaker 1: need to create working solutions. The increase in computing processing

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Speaker 1: power and speed, paired with verse little data storage options

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Speaker 1: and enabled through high speed, low latency connectivity can get

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Speaker 1: us to the future that Mantha envisions. Inter next episode,

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Speaker 1: we'll be speaking with for us Pathana, the Chief Digital

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Speaker 1: Officer for CVS Health, to see how digital technology is

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Speaker 1: fueling an enormous transformation within the healthcare industry in ways

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Speaker 1: that will impact millions of lives. Join us for that episode.

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