There is a lot of video in the world. Nearly 90% of global internet traffic is video. Getting value out of video data, however, is challenging, time-consuming and expensive. How do you identify the right subset of video data to train your models, and how do you reimagine the annotation process to accelerate vision AI application development are just some of the big questions that are looking for answers. On this episode of the AI in Automotive Podcast, I am delighted to be joined by Dr Jason ...
All content for AI in Automotive Podcast is the property of Jayesh Jagasia and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
There is a lot of video in the world. Nearly 90% of global internet traffic is video. Getting value out of video data, however, is challenging, time-consuming and expensive. How do you identify the right subset of video data to train your models, and how do you reimagine the annotation process to accelerate vision AI application development are just some of the big questions that are looking for answers. On this episode of the AI in Automotive Podcast, I am delighted to be joined by Dr Jason ...
AI in Automotive - #401 - Todd Thomas - Chief Revenue Officer, AiDEN Automotive
AI in Automotive Podcast
49 minutes
2 years ago
AI in Automotive - #401 - Todd Thomas - Chief Revenue Officer, AiDEN Automotive
Connected cars have been around for a while, but in-car services have strangely not really taken off. I learnt in my chat with Todd Thomas, Chief Revenue Officer at AiDEN Auto that there’s a good reason. Or four. Todd spoke to me about the evolution of the modern car to become a more mature connected device from its current state, and in the process we unearthed some real gems of insight. After today’s chat with Todd, I have a much better understanding of what connected vehicles 2.0 mig...
AI in Automotive Podcast
There is a lot of video in the world. Nearly 90% of global internet traffic is video. Getting value out of video data, however, is challenging, time-consuming and expensive. How do you identify the right subset of video data to train your models, and how do you reimagine the annotation process to accelerate vision AI application development are just some of the big questions that are looking for answers. On this episode of the AI in Automotive Podcast, I am delighted to be joined by Dr Jason ...
