On-demand webinar
Speakers
Vinny DeGenova
Associate Director of Machine Learning
Wayfair
Vinny is the Head of Catalog Understanding at Wayfair, composed of teams leveraging ML to understand the product catalog, annotate and extract information from user generated content, and develop foundation models which power on site experiences ranging from competitive intelligence to Search & Recommendations. With a background in Electrical Engineering and a Master’s in Computer Science, he has 10 years of industry experience ranging from leading personalization ML teams to developing ML solutions in the defense industry.
Daniel Xu
Product Lead
Snorkel AI
Daniel Xu is Snorkel AI’s infrastructure product leader with extensive experience in building enterprise and security platforms.
Previously at Facebook, he led two teams in Privacy infrastructure, focusing on protecting user data through identifying and implementing anti-scraping mitigations on both 1st party apps and 3P developer platforms. Daniel has also served as Tech Lead and Product Manager at DataVisor focused on deploying anti-fraud / anti-bot solutions for both US F500 and Chinese companies, and held a Product Manager role at Addepar specializing in building financial analytics platforms for wealth managers and family offices.
He holds a Bachelor of Applied Science from the University of California, Berkeley, providing a strong academic foundation. Daniel excels in driving highly technical product strategy, leading teams, and delivering innovative solutions in data-driven environments.
Kieran Kavanagh
Principal Architect, Retail
Google Cloud
Kieran Kavanagh is the Principal Architect for the Wayfair account in Google Cloud, with decades of experience in senior technology roles at companies such as Amazon and AT&T, leading some of the industry's largest AI/ML and digital transformation programs. He is also an author and content creator on the topics of AI/ML and cloud transformation.
How Wayfair is transforming customer experiences with data-centric AI
Learn how Wayfair is harnessing the power of machine learning and data to make it easier for customers to find the exact home products they’re looking for with Snorkel AI on Google Cloud.
You’ll find out how highly accurate product tags can be extracted from supplier-provided labels and product images to clean and enrich online catalogs. This delivers higher-quality content for customers and the ability to quickly adapt as customer searches evolve. Bottom line – they were able to increase their add-to-cart rates, reduce their cart abandonment rates, and increase their average order size and customer lifetime value.
Watch the on demand webinar to see how:
- You can accelerate delivery of your AI apps by up to 100x
- Using Snorkel, Wayfair’s product tagging models improved by 20+ points over models trained on manual labels
- Wayfair was able to boost its add-to-cart ratio with a 7% increase in customer engagement on search results