Speaker: Guy Gerson
Guy Gerson is a Software Engineer on PayPal’s next generation stream processing platform core team. He is currently working on the adaptation of Statistical and Machine learning methodologies as part of real-time data pipelines. Prior to PayPal, He was a Researcher on the IBM Cloud and Data Technologies group focusing on designing large scale Internet of Things analytics architectures.
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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.