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With Aman (Product Mgr, Spotify) & Martin (Machine Learning Enggr, Spotify).
Tuesday, May 04, 2021 at 10:00 AM   Absolutely Free   Online
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This is a free, online event taking place over Zoom. The event will start at 10 am PT / 6 pm GMT.

More information coming soon

-- Agenda --

Intro - About the & latest news

Talk 1: Feature Stores @ Spotify: Building & Scaling a Centralized Platform

Over 345 million Spotify users rely on Spotifys great recommendations & personalized features in 170 different markets around the globe (with 85 of these markets launching in the first part of 2021. With the massive inflows of data & complexity of production use cases, defining a unified approach to ML is challenging. In this talk, Aman & Martin will give an overview of the challenges we face with building a central ML Platform at a highly autonomous organization, & our approach of adoption by incentive. We will dive deeper into our history with feature tooling, the foundation we are building now & where we are headed with a Feature Marketplace strategy at Spotify.

Talk 2: TBA

-- Speakers --

Aman is a Product Manager on the ML Platform team at Spotify. Aman is focused on operationalizing ML feature management tooling to ensure that Spotify uses data for ML workflows effectively. Prior to Spotify, Aman was a Product Manager at Cruise where he built frameworks to test self driving cars at scale. Aman has a BS in Mechanical Engineering from UC Berkeley, & a background in Product Design which he applies toward solving technical & product challenges in the ML space.

Martin is a Staff Machine Learning Engineer on the ML Platform team at Spotify. Martin's primary focus is designing & building the feature management infrastructure for Spotify, & previously created the infrastructure to serve models at high scale & low latency at Spotify. Before joining the ML Platform, Martin worked on applied ML developing ML powered systems focused on Growth.

--- About the organizers --

This global meetup is organized by, a voluntary educational program concerned with disseminating information about Feature Stores for machine learning.

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