On-demand webinar
Multimodal Product Discovery: The next generation of search for ecommerce
About this webinar
Multimodal search is increasing in popularity as a means to more intuitive user experiences. In ecommerce, multimodality lets shoppers discover items based on a diverse set of inputs, including images, audio, video, and text. Providing new ways to discover products helps teams improve search relevancy and deliver real-time, personalized recommendations.
Join Weaviate’s Senior Developer Advocate Zain Hasan and Moonsift’s CTO David Wood to explore the ins and outs of multimodal search and improving product discovery for ecommerce.
Attendees will learn:
- How multimedia search and recommendations work with Weaviate
- How Moonsift built an AI-powered shopping co-pilot to help shoppers find the products they love
- How to incorporate a multimodal recommendation engine into your own application
Speakers
Join our panelists for a discussion and Q&A
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Zain Hasan
Senior Developer Advocate, Weaviate
Zain Hasan is a senior ML developer advocate at Weaviate. An engineer and data scientist by training, he pursued his undergraduate and graduate work at the University of Toronto building artificially intelligent assistive technologies, then founded his company, VinciLabs in the digital health-tech space. More recently he practiced as a consultant senior data scientist in Toronto. Zain is passionate about the fields of machine learning, education, and public speaking.
David Wood
CTO & Co-founder, Moonsift
After completing a PhD applying machine learning to mapping the Fruit Fly brain in 2018, David worked on a data science project at fashion house Ted Baker where he became interested in applying machine learning to the problem of taste-driven discovery online. He since met Alex at Entrepreneur First in London and they founded Moonsift to solve this problem. He now lives in Edinburgh, Scotland and is keen on spending time in the outdoors.