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The AI Show - Episode 2 - Paul Pallin

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Manage episode 424870849 series 3581237
Content provided by Disruptive Live. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Disruptive Live 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.

In this episode of the AI Show, host Emily Barrett talks with Paul, Co-Founder and Chief Scientist of Miros, about revolutionising e-commerce search with AI.

Paul explains the inefficiency of current search methods, particularly for visually appealing products, and how Miros aims to improve the shopping experience. He highlights the limitations of keyword searches and introduces Miros's solution, which involves semantic vector search and an iterative image-based feedback loop to understand and fulfil consumer desires without relying on verbal descriptions.

This technology not only promises to save time for shoppers but also has potential applications beyond e-commerce, such as in interior design and visual communication.

  continue reading

9 episodes

Artwork
iconShare
 
Manage episode 424870849 series 3581237
Content provided by Disruptive Live. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Disruptive Live 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.

In this episode of the AI Show, host Emily Barrett talks with Paul, Co-Founder and Chief Scientist of Miros, about revolutionising e-commerce search with AI.

Paul explains the inefficiency of current search methods, particularly for visually appealing products, and how Miros aims to improve the shopping experience. He highlights the limitations of keyword searches and introduces Miros's solution, which involves semantic vector search and an iterative image-based feedback loop to understand and fulfil consumer desires without relying on verbal descriptions.

This technology not only promises to save time for shoppers but also has potential applications beyond e-commerce, such as in interior design and visual communication.

  continue reading

9 episodes

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