Presentation: Panel: Predictive Architectures in Practice
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Join a panel of experts and discuss the unique challenges of building and running data architectures for predictions, recommendations and machine learning. Josh Wills built the infrastructure for Slack’s search, learning and intelligence products. Sumit Rangwala is constantly improving People You May Know recommendations for LinkedIn. Eric Chen leads the team that built Michaelangelo, massive scale soup-to-nuts machine learning infrastructure at Uber. Emily Samuels and Anil Muppalla evolved Spotify’s recommendations from batch to real-time. If you ever wondered what it really takes to build data architectures that support large-scale data products, this is the time and place to ask, learn and get inspired.