How do you make AI useful?
While a lot of money and attention have been focused on foundational models and chips – the "picks and shovels" of AI – it takes a different skill set to create AI products that change the way we work, learn, and live. We’re seeing this in AI co-pilots, AI-first networks and marketplaces, and entirely reimagined software categories where AI is solving long-standing challenges in new ways.
But how do they actually do it? Greylock partner and former product builder Seth Rosenberg talks with founders about their inspiration and process to build, test, and continually reimagine how AI and humans work together.
Learn more about the series at productledaipod.com
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How do you make AI useful?
While a lot of money and attention have been focused on foundational models and chips – the "picks and shovels" of AI – it takes a different skill set to create AI products that change the way we work, learn, and live. We’re seeing this in AI co-pilots, AI-first networks and marketplaces, and entirely reimagined software categories where AI is solving long-standing challenges in new ways.
But how do they actually do it? Greylock partner and former product builder Seth Rosenberg talks with founders about their inspiration and process to build, test, and continually reimagine how AI and humans work together.
Learn more about the series at productledaipod.com
Guest episode hosted by Greylock partner Saam Motamedi. Just as app tracking transparency rules shut the door on targeted ads, AI opened up new channels of customer engagement and personalization. Fermat is built on the convergence of those two paradigm shifts. The company provides AI-powered tooling and infrastructure for distributed commerce businesses to thrive in the post-ATT world. This episode originally appeared on Greymatter.
You can read the transcript from this interview at https://productledaipod.com/
You can watch the video of this interview at https://youtu.be/Zh-rlx1RjUY?si=V9oZZx-1ejbWoRKs
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Product-Led AI
How do you make AI useful?
While a lot of money and attention have been focused on foundational models and chips – the "picks and shovels" of AI – it takes a different skill set to create AI products that change the way we work, learn, and live. We’re seeing this in AI co-pilots, AI-first networks and marketplaces, and entirely reimagined software categories where AI is solving long-standing challenges in new ways.
But how do they actually do it? Greylock partner and former product builder Seth Rosenberg talks with founders about their inspiration and process to build, test, and continually reimagine how AI and humans work together.
Learn more about the series at productledaipod.com
