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Building a Recommendation Agent for The North Face with Andrew Guldman - TWiML Talk #239

Building a Recommendation Agent for The North Face with Andrew Guldman - TWiML Talk #239

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


Building a Recommendation Agent for The North Face with Andrew Guldman - TWiML Talk #239

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
48 minutes
Released:
Mar 14, 2019
Format:
Podcast episode

Description

Today we’re joined by Andrew Guldman, VP of Product Engineering and Research and Development at Fluid. Andrew and I caught up a while back to discuss Fluid XPS, a user experience built to help the casual shopper decide on the best product choices during online retail interactions. While XPS has expanded since we recorded this interview, we specifically discuss its origins as a product to assist outerwear retailer The North Face. In our conversation, we discuss their use of heat-sink algorithms and graph databases, and their use of chat and other interfaces, and the challenges associated with staying on top of a constantly changing technology landscape. This was a fun interview! Thanks to Pegasystems for sponsoring today's show! I'd like to invite you to join me at PegaWorld, the company’s annual digital transformation conference, which takes place this June in Las Vegas. To learn more about the conference or to register, visit pegaworld.com and use TWIML19 in the promo code field when you get there. The complete show notes for this episode can be found at https://twimlai.com/talk/239.
Released:
Mar 14, 2019
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.