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Small Models, Big Impact: How Arcee Is Redefining AI for Enterprises

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Manage episode 460387276 series 3294294
Content provided by GritDaily.com, John Biggs, Leonard Kim, and Jordan French. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by GritDaily.com, John Biggs, Leonard Kim, and Jordan French 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://staging.podcastplayer.com/legal.

In this episode of The Startup Show, Mark McQuade, CEO of Arcee, delves into how his company is redefining enterprise AI with smaller, specialized language models. He discusses the importance of model ownership, cost efficiency, and the shift toward agentic systems capable of task automation. McQuade also shares insights on building sustainable AI businesses, emphasizing the need for revenue-driven strategies over pure tech innovation.

See omnystudio.com/listener for privacy information.

  continue reading

364 episodes

Artwork
iconShare
 
Manage episode 460387276 series 3294294
Content provided by GritDaily.com, John Biggs, Leonard Kim, and Jordan French. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by GritDaily.com, John Biggs, Leonard Kim, and Jordan French 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://staging.podcastplayer.com/legal.

In this episode of The Startup Show, Mark McQuade, CEO of Arcee, delves into how his company is redefining enterprise AI with smaller, specialized language models. He discusses the importance of model ownership, cost efficiency, and the shift toward agentic systems capable of task automation. McQuade also shares insights on building sustainable AI businesses, emphasizing the need for revenue-driven strategies over pure tech innovation.

See omnystudio.com/listener for privacy information.

  continue reading

364 episodes

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