Product Enrichment and Recommender Systems // Marc Lindner and Amr Mashlah // Coffee Sessions #114

MLOps Coffee Sessions #114 with Marc Lindner, Co-Founder COO and Amr Mashlah, Head of Data Science of eezylife Inc., Product Enrichment and Recommender Systems co-hosted by Skylar Payne. // Abstract The difficulties of making multi-modal recommender systems. How it can be easy to know something about a user but very hard to know the same thing about a product and vice versa? For example, you can clearly know that a user wants an intellectual movie, but it is hard to accurately classify a movie as intellectual and fully automated. // Bio Marc Lindner Marc has a background in Knowledge Engineering. He's Always extremely product-focused with anything to do with Machine Learning.    Marc built several products working together with companies such as Lithium Technologies etc. and then co-Founded eezy. Amr Mashlah Amr is the head of data science at eezy, where he leads the development of their recommender engine. Amr has a master's degree in AI and has been working with startups for 6 years now. // MLOps Jobs board   https://mlops.pallet.xyz/jobs MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links Children of Time book by Adrian Tchaikovsky:   https://www.amazon.com/Children-Time-Adrian-Tchaikovsky/dp/0316452505 --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Skylar on LinkedIn: https://www.linkedin.com/in/skylar-payne-766a1988/ Connect with Marc on LinkedIn: https://www.linkedin.com/in/marc-lindner-883a0883/ Connect with Amr on LinkedIn: https://www.linkedin.com/in/mashlah/

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Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.