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NLP for eCommerce Search - Current Challenges and Future Potential

NLP for eCommerce Search - Current Challenges and Future Potential

FromThe AI in Business Podcast


NLP for eCommerce Search - Current Challenges and Future Potential

FromThe AI in Business Podcast

ratings:
Length:
26 minutes
Released:
Mar 18, 2018
Format:
Podcast episode

Description

Episode summary: In this week's interview on the AI in Industry podcast, we speak with Amir Konigsberg, the CEO of Twiggle, about the future of product search - and how eCommerce and retail brands can use natural language processing (NLP) to improve their user experience. Amir explains some of the factors that make eCommerce product search challenging, and the artificial intelligence approaches that can improve it today and within the next five years. Interested readers can learn more about present and future use-cases for artificial intelligence applications in retail in our full article on that topic. You can listen to the full interview with Amir Konigsberg from Twiggle here: https://www.techemergence.com/nlp-for-ecommerce-search-current-challenges-and-future-potential
Released:
Mar 18, 2018
Format:
Podcast episode

Titles in the series (100)

Learn what's possible - and what's working - with artificial intelligence in the enterprise. Each week, Emerj founder Daniel Faggella interviews top AI and machine learning-focused executives and researchers in sectors like Pharma, Banking, Retail, Defense, and more. Discover trends, learn about what's working now, and learn how to adapt and thrive in an era of AI disruption. Be sure to subscribe to "AI in Industry."