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AI in Automotive - #405 - Andrew Fleury, CEO Luna Systems and Chris Tingley, CEO EVWare

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Content provided by Jayesh Jagasia. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jayesh Jagasia or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Since the beginning of time, cities have been incredibly important to civilization. Today, the World Bank estimates that cities contribute 80% of global GDP. Cities are central to our growth and prosperity, but every single major city in the world is facing challenges ranging from poor air quality to creaking infrastructure.

So how do cities evolve to prepare for the future? And what role does AI play in this evolution?

On this unique episode of the AI in Automotive Podcast, I invited the CEOs of two companies that are enabling our cities to become safer, smarter and more sustainable using the power of artificial intelligence.

Andrew Fleury is the CEO of Luna Systems, a company that is making mobility smarter using their computer vision capabilities. They are putting cameras on micromobility scooters, and using AI to help micromobility operators give their riders a safer experience.

Chris Tingley runs EVWare, a company whose hardware and software platform makes vehicles safe, connected and intelligent. They do this by bringing high-tech features and functionality to vehicles of all shapes and sizes, including micromobility scooters.

The modern city generates bucketloads of data. It has been for a while now. Till a few years back, there was limited use for this data. Perhaps the quality of data was suboptimal. Perhaps it was in a form that was not adequately usable to identify patterns and generate insights. Maybe we did not have enough tools and infrastructure to leverage this data.

All that is changing fast. With the rise of AI and the commoditisation of cloud infrastructure, the data that cities generate carries immense potential in improving decision making and crashing decision time by orders of magnitude. Companies like Luna Systems and EVWare are - in their own way - creating a collaborative ecosystem of partners that can make our cities smarter, safer and more sustainable.

I hope you enjoy listening to my chat with Andrew and Chris. If you do, go ahead and rate the AI in Automotive Podcast wherever you get your podcasts.

#ai #automotive #mobility #technology #podcast #machinelearning #urbandesign #cities #infrastructure #vision #micromobility

AI in Automotive Podcast

  continue reading

40 episodes

Artwork
iconShare
 
Manage episode 389403083 series 2793161
Content provided by Jayesh Jagasia. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jayesh Jagasia or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Since the beginning of time, cities have been incredibly important to civilization. Today, the World Bank estimates that cities contribute 80% of global GDP. Cities are central to our growth and prosperity, but every single major city in the world is facing challenges ranging from poor air quality to creaking infrastructure.

So how do cities evolve to prepare for the future? And what role does AI play in this evolution?

On this unique episode of the AI in Automotive Podcast, I invited the CEOs of two companies that are enabling our cities to become safer, smarter and more sustainable using the power of artificial intelligence.

Andrew Fleury is the CEO of Luna Systems, a company that is making mobility smarter using their computer vision capabilities. They are putting cameras on micromobility scooters, and using AI to help micromobility operators give their riders a safer experience.

Chris Tingley runs EVWare, a company whose hardware and software platform makes vehicles safe, connected and intelligent. They do this by bringing high-tech features and functionality to vehicles of all shapes and sizes, including micromobility scooters.

The modern city generates bucketloads of data. It has been for a while now. Till a few years back, there was limited use for this data. Perhaps the quality of data was suboptimal. Perhaps it was in a form that was not adequately usable to identify patterns and generate insights. Maybe we did not have enough tools and infrastructure to leverage this data.

All that is changing fast. With the rise of AI and the commoditisation of cloud infrastructure, the data that cities generate carries immense potential in improving decision making and crashing decision time by orders of magnitude. Companies like Luna Systems and EVWare are - in their own way - creating a collaborative ecosystem of partners that can make our cities smarter, safer and more sustainable.

I hope you enjoy listening to my chat with Andrew and Chris. If you do, go ahead and rate the AI in Automotive Podcast wherever you get your podcasts.

#ai #automotive #mobility #technology #podcast #machinelearning #urbandesign #cities #infrastructure #vision #micromobility

AI in Automotive Podcast

  continue reading

40 episodes

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