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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#117 - Dr Richard Ahlfeld - CEO, Monolith AI
Manage episode 329062784 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.
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, but eventually finding an optimum through a series of very difficult trade-offs.
Any benefit an automaker can take in the design and development process that accelerates take-to-market and improves margins is an absolute no-brainer. So what role can machine learning play?
In this episode of the AI in Automotive Podcast, I am joined by Dr Richard Ahlfeld, CEO of Monolith. We discuss how machine learning can be a potential game-changer in automotive R&D, and deliver some serious acceleration and cost benefits in the design and development process.
Complex mathematical equations, ketchup bottles and a million dollar prize. This episode of the show has it all!
40 episodes
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Manage episode 329062784 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.
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, but eventually finding an optimum through a series of very difficult trade-offs.
Any benefit an automaker can take in the design and development process that accelerates take-to-market and improves margins is an absolute no-brainer. So what role can machine learning play?
In this episode of the AI in Automotive Podcast, I am joined by Dr Richard Ahlfeld, CEO of Monolith. We discuss how machine learning can be a potential game-changer in automotive R&D, and deliver some serious acceleration and cost benefits in the design and development process.
Complex mathematical equations, ketchup bottles and a million dollar prize. This episode of the show has it all!
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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