AI in Automotive - #404 - David Hallac - CEO, Viaduct

Author: Jayesh Jagasia December 1, 2023 Duration: 41:24

Vehicle quality issues that lead to recalls and lawsuits cost automotive OEMs tens of billions of dollars in cost and lost revenue each year. Given the explosion of connected vehicle data, one might expect that this data could be leveraged to reduce this cost. Things are rarely that straightforward. Why is that?

I invited David Hallac, CEO of Viaduct to the AI in Automotive Podcast to find out more. David’s 5-year old startup finds patterns and relationships amongst billions of connected vehicle data points, and delivers two powerful, commercially sound use cases to automotive OEMs. One, it helps automotive OEMs proactively identify and address quality issues, saving hundreds of millions of dollars in warranty costs and recalls. Two, it helps predict failures, call vehicles in for proactive maintenance, and helps bump up up-time - a god-send, especially for fleet customers.

The big penny drop moment for me during my conversation with David was that connected vehicle applications don’t have to be bold, visible and sexy, delivering massive incremental revenue at near 100% margin. In fact, the connected vehicle applications most likely to succeed in the near-term are those that deliver commercial value today, often by way of substantially reduced costs. Viaduct’s quality management and maintenance prediction use cases check those boxes, and how. Listen to my chat with David to find out more.

If you enjoyed my chit-chat with David Hallac, please give the AI in Automotive Podcast a solid five stars on Apple Podcasts and Spotify - I am always thankful for your support.

#ai #automotive #mobility #technology #podcast #machinelearning #unsupervisedlearning #warranty #recalls #maintenance #quality

AI in Automotive Podcast

Hosted by Jayesh Jagasia, AI in Automotive Podcast is a series of conversations that go beyond the headlines and technical specifications. It focuses on the human stories and strategic decisions driving this transformation. Each episode brings you directly into dialogue with the innovators, engineers, and business leaders who are applying artificial intelligence to redefine everything from vehicle design and manufacturing to energy management and how we move. The discussions are grounded in real-world applications, exploring the commercial and marketing implications of these technologies as much as the engineering breakthroughs. You’ll hear about the challenges and opportunities at this unique crossroads of automotive, energy, and tech. This podcast provides a clear-eyed look at how AI is being integrated right now, making complex topics accessible and relevant for anyone interested in the business of tomorrow's mobility. It’s an essential listen for understanding the practical forces shaping the industry's future.

Author: Jayesh Jagasia Language: en-gb Episodes: 45

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Podcast Episodes

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#103 - Paul Eichenberg - Chief Strategist - Part 1

30.10.2019

Duration: 31:14

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…

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#101 - Tom Wood - CEO, Cazana - Part 1

23.10.2019

Duration: 23:46

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 wit…

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#102 - Tom Wood - CEO, Cazana - Part 2

23.10.2019

Duration: 23:26

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AI in Automotive Podcast Trailer

12.10.2019

Duration: 2:11

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 Aut…