Speaker: Uri Silberstein
As part of the platform engineering team at PayPal, Uri Silberstein is responsible for building PayPal's large scale stream processing platform including analytical framework which provides an easy way to run statistical and machine learning models. Before working for PayPal, Uri worked at several leading startups and at IBM in both research and storage divisions. Besides all the fun above, Uri also enjoys sports, traveling and spending quality time with his wife and two sons.
Find Uri Silberstein at
Talk : Massive Scale Anomaly Detection Framework
Other talks from track Predictive Architectures in the Real World


2019 Tracks
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Groking Timeseries & Sequential Data
Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.
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Deep Learning in Practice
Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.
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AI Meets the Physical World
Where AI touches the physical world, think drones, ROS, NVidia, TPU and more.
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Papers in Production: Modern CS in the Real World
Groundbreaking papers make real-world impact.
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Solving Software Engineering Problems with Machine Learning
Interesting machine learning use cases changing how we develop software today, including planned topics touching on infrastructure optimization, developer experience, security, and more.
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Predictive Architectures in the Real World
Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix.