Custom Manufacturing Industry podcast is an entrepreneurship and motivational podcast on all platforms, hosted by Aaron Clippinger. Being CEO of multiple companies including the signage industry and the software industry, Aaron has over 20 years of consulting and business management. His software has grown internationally and with over a billion dollars annually going through the software. Using his Accounting degree, Aaron will be talking about his organizational ways to get things done. Hi ...
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Indhold leveret af Foundation Capital and Ashu Garg. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Foundation Capital and Ashu Garg eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
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How to Deploy AI in Your Company (Matei Zaharia, CTO & Co-Founder of Databricks)
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Manage episode 365048134 series 2388137
Indhold leveret af Foundation Capital and Ashu Garg. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Foundation Capital and Ashu Garg eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
If you’re not hardcore about AI, then stop the podcast now — because this episode for real technology nerds. Ashu’s guest is Matei Zaharia, CTO and cofounder of Databricks, and a professor of computer science at Stanford University. Ashu and Matei cover a lot of ground — most of it technical, all of it very relevant for anyone who’s serious about building with artificial intelligence. They start with a discussion of Databricks’ early days: how the startup established a foothold in a market dominated by entrenched incumbents and some of the challenges Matei and his cofounders faced. The rest of the conversation is all about AI. Matei breaks down the most common challenges that enterprises run into when attempting to adopt AI. He shares tips for how startups can best deploy foundation models. And he speculates on what the game-changing new use cases for AI will be over the next two years. Matei also pulls back the kimono on some of the cutting-edge machine-learning research he and his team at Stanford are working on. Finally, listen to the end for a fascinating exchange about artificial intelligence beyond large language models.
…
continue reading
56 episoder
MP3•Episode hjem
Manage episode 365048134 series 2388137
Indhold leveret af Foundation Capital and Ashu Garg. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Foundation Capital and Ashu Garg eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
If you’re not hardcore about AI, then stop the podcast now — because this episode for real technology nerds. Ashu’s guest is Matei Zaharia, CTO and cofounder of Databricks, and a professor of computer science at Stanford University. Ashu and Matei cover a lot of ground — most of it technical, all of it very relevant for anyone who’s serious about building with artificial intelligence. They start with a discussion of Databricks’ early days: how the startup established a foothold in a market dominated by entrenched incumbents and some of the challenges Matei and his cofounders faced. The rest of the conversation is all about AI. Matei breaks down the most common challenges that enterprises run into when attempting to adopt AI. He shares tips for how startups can best deploy foundation models. And he speculates on what the game-changing new use cases for AI will be over the next two years. Matei also pulls back the kimono on some of the cutting-edge machine-learning research he and his team at Stanford are working on. Finally, listen to the end for a fascinating exchange about artificial intelligence beyond large language models.
…
continue reading
56 episoder
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