The traditional enterprise go-to-market motion is undergoing a transformational shift. B2B buyers are more sophisticated than ever, and operational efficiency is a key focus for every organization. One key function possesses a unique opportunity to shape the future of revenue generation: enablement. On this podcast, we’re bringing you the secrets, strategies, and tactics that successful enablement leaders are using to drive meaningful impact. The Enablement Edge is the go-to resource for sal ...
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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.
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#113 - Orr Danon - CEO, Hailo Technologies
Manage episode 297030525 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.
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 to work in real time under significant cost, space and power constraints. So how do we deal with this reality?
Enter Edge AI. An elegant solution that helps process part of the input from various sensors locally, rather than in the cloud. In other words, ‘at the edge’.
In this episode of the AI in Automotive podcast, we are joined by Orr Danon, CEO of Hailo Technologies, a company that is bringing powerful edge AI solutions to the automotive industry. Hailo’s technology and processor have the capability to process several high-resolution video inputs in real time with low latency, without impacting the accuracy of the algorithm.
Orr and I dig deeper into what exactly edge AI is, what advantages it delivers and what its relevance is to ADAS and AD systems. We also talk about the future of autonomous driving, and discuss how the levels of autonomy might evolve in the future.
I hope you enjoy our chat today as much as I did recording it with Orr. If you do, do give our podcast a shout on your social media, or share a link with your friends and colleagues.
40 episodes
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Manage episode 297030525 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.
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 to work in real time under significant cost, space and power constraints. So how do we deal with this reality?
Enter Edge AI. An elegant solution that helps process part of the input from various sensors locally, rather than in the cloud. In other words, ‘at the edge’.
In this episode of the AI in Automotive podcast, we are joined by Orr Danon, CEO of Hailo Technologies, a company that is bringing powerful edge AI solutions to the automotive industry. Hailo’s technology and processor have the capability to process several high-resolution video inputs in real time with low latency, without impacting the accuracy of the algorithm.
Orr and I dig deeper into what exactly edge AI is, what advantages it delivers and what its relevance is to ADAS and AD systems. We also talk about the future of autonomous driving, and discuss how the levels of autonomy might evolve in the future.
I hope you enjoy our chat today as much as I did recording it with Orr. If you do, do give our podcast a shout on your social media, or share a link with your friends and colleagues.
40 episodes
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Similar to AI in Automotive
The traditional enterprise go-to-market motion is undergoing a transformational shift. B2B buyers are more sophisticated than ever, and operational efficiency is a key focus for every organization. One key function possesses a unique opportunity to shape the future of revenue generation: enablement. On this podcast, we’re bringing you the secrets, strategies, and tactics that successful enablement leaders are using to drive meaningful impact. The Enablement Edge is the go-to resource for sal ...
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continue reading
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continue reading
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…
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