AI in Automotive Podcast

The digital screens in the car are the latest battleground in the battle for the driver’s attention. The main competitor? The mobile phone.  Each time you choose to connect your smartphone to your car’s infotainment system using CarPlay or Android Auto, the mobile phone wins. The car’s digital surfaces are reduced to dumb screens that mirror the phone’s apps and use the phone’s processing power. Y...

90% of all the data in the world was generated in the last 2 years. I have read this statistic in a news report from 2012, and a news report from 2019 and a news report from 2021. If this statement is true every year, you can begin to imagine the rate at which data generation and use is expanding. Actually that number is so big, you probably can’t imagine it.  As someone famous once remarked: with...

Automotive product development is not just incredibly expensive, but also an extraordinarily complex process. Everything you see on a production vehicle is, at the end of the day, the result of hundreds of tug-of-war contests. Design and cost, manufacturability and serviceability, power and weight. The list goes on. Dozens of teams with hundreds of engineers pursuing conflicting design objectives,...

In this episode of the AI in Automotive Podcast, we are following the incredible journey of Ocado from a retailer to a global technology business that offers a cutting-edge technology platform to other retailers. We talk to David Sharp, Head of Head of Autonomous Mobility at Ocado Technology , and he talks to us about their journey - bold and audacious in more ways than one. Three things really st...

Have you ever thought about all the things that go on behind the scenes when you file an insurance claim for your car? Probably not. And that’s a good thing, because if you did have to think about the complexity that lies behind, you would not be a happy customer. The reality, however, is that every insurance claim triggers hundreds of processes and transactions that work in harmony to verify and...

If Elon Musk says something is hard, you can bet your bottom dollar that it is bloody hard. Automotive applications are some of the toughest, most unforgiving environments to deploy AI in. Most AI applications in automotive are mission critical - they just can’t go wrong. This requires that all the input they process is of a very high resolution or quality. They also need to operate in real-time,...

AI-powered ADAS and AD systems are getting more complex with every iteration. New sensors, higher resolution cameras and increasingly sophisticated deep learning algorithms have substantial computational requirements. Traditionally, they have relied on compute resources in the cloud. But as systems get more advanced, relying on the cloud alone carries significant risk to systems that are supposed...

GPS, or the Global Positioning System, is now ubiquitous as a way for us to pinpoint our location anywhere in the world, plot that location on a reference, often a map, and know where we are. Did you know, however, that even some advanced GPS systems can only deliver an accuracy of about 25 cm. This level of precision, while sufficient for you and I, just does not cut it for a vehicle equipped wit...

Data is the lifeblood of Artificial Intelligence. Quite simply, the better and richer the quality of data, the more capable the algorithm. Now this applies to both, the training data available to train the algorithm, but importantly, also the input data that is available for the algorithm to do its job. Take the case of autonomous vehicles or advanced driver assistance systems. These systems rely...

Some sources estimate that over 500 billion dollars have been invested already in the quest for full autonomous driving, and an equal amount is likely to be invested over the next few years. Everyone is in this race - from tech companies, VCs and PE funds, sovereign wealth funds, neo manufacturers and traditional automotive industry players - OEMs and large Tier 1 suppliers. If you are in the auto...

In this episode of the podcast, we are joined by Venkat Sreeram , who shares his story and journey with us. Venkat is an all-out automotive guy and a serial entrepreneur. He shares his very inspiring entrepreneurial journey with us, and talks about what led to him starting his latest venture, ClearQuote . ClearQuote is using AI and computer vision to instantly identify and assess the damage on any...

We suffer a million and a half fatalities on the roads every year. The number of people who are injured in road traffic incidents is orders of magnitude higher. These numbers are staggering. But also very, very avoidable.  Today we are talking to Chris Van Dan Elzen. Chris is a Vice President at Veoneer, a global leader in automotive technology. Veoneer is putting its considerable resources behind...

Like me, you’ve probably found yourself sitting in traffic, surrounded by vehicles of every size and shape, wondering why there isn’t a better way yet. The good news is that there is. In this episode of the AI in Automotive Podcast , we are speaking to Noam Maital, CEO of Waycare Technologies , a fabulous company that I came across recently, that uses AI to solve a very real problem - that of traf...

Why are Autonomous Vehicles a big deal? How far are they from reality, and what is the most likely path they will take to market? What sort of social, economic and cultural impact might they bring with them?  We explore these themes in our conversation with Dr Reinhard Stolle . Reinhard is Vice President of Engineering at Autonomous Intelligent Driving , or AID. Reinhard has a wealth of experience...

Autonomous driving is widely considered to be one of the toughest problems to solve, and whilst there have been some blips on the way, the technology is evolving rapidly. This is thanks mainly to the rapid hardware and software advances in the field of Artificial Intelligence. Traditional automotive brands, large automotive suppliers, hundreds of autonomous driving startups powered by billions of...

In Part 1 of my conversation with Paul Eichenberg, Chief Strategist at Paul Eichenberg Strategic Consulting, we spoke about how data and technology are redrawing the traditional automotive landscape, and powering the rise of a new generation of industry participants.  In Part 2, we talk about talent wars, car ownership in the age of data, and how an interesting application of AI is making our citi...

Data and technology are great levellers. The power of data and AI is redrawing the automotive industry landscape, dramatically altering relationships and equations between OEMs and their suppliers. AI is also creating a new generation of industry players - from startups to consumer electronics giants. What does the tech-driven redrawing of the auto industry landscape mean for traditional players i...

The power of Artificial Intelligence and Machine Learning presents a huge opportunity to make vehicle valuations more accurate and more dynamic. Cazana is a company that is doing just that. In part 1 of the interview with Tom Wood, CEO of Cazana , we spoke about how Cazana uses AI to solve a problem that is as old as the industry itself, and how its solution benefits dealers, OEMs, insurers and le...

The power of Artificial Intelligence and Machine Learning presents a huge opportunity to make vehicle valuations more accurate and more dynamic. Cazana is a company that is doing just that. In part 1 of the interview with Tom Wood, CEO of Cazana , we talk about how Cazana uses AI to solve a problem that is as old as the industry itself, and how its solution benefits dealers, OEMs, insurers and len...

All around the world, hundreds of companies, big and small, are using AI technologies to bring an unprecedented level of innovation and disruption to the automotive industry.  I am Jayesh Jagasia, and I host the AI in Automotive podcast. This is a platform for conversations about the rapidly growing role of AI in the automotive and mobility industries. Join me as I host experts in the domain to le...