NLP for eCommerce Search - Current Challenges and Future Potential episode artwork

EPISODE · Mar 18, 2018 · 26 MIN

NLP for eCommerce Search - Current Challenges and Future Potential

from The AI in Business Podcast

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

NOW PLAYING

NLP for eCommerce Search - Current Challenges and Future Potential

0:00 26:21

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Frequently Asked Questions

How long is this episode of The AI in Business Podcast?

This episode is 26 minutes long.

When was this The AI in Business Podcast episode published?

This episode was published on March 18, 2018.

What is this episode about?

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...

Can I download this The AI in Business Podcast episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!