SESSION + Live Q&A
Real-Time Decisions Using ML on the Google Cloud Platform
Ocado Technology is providing a full solution to put the world’s retailers online using the cloud, robotics, AI and IoT. Processing tens of thousands of orders every day, we generate millions of events every minute, leading to huge amount of data to be managed. We will present how this Big Data is handled in Google Cloud Platform to build a end-to-end machine learning pipeline: how data is stored and processed in BigQuery, post-processed and copied with Dataflow, then used to train Deep Neural Network models with TensorFlow, how all this is orchestrated using our in-house scheduling software called Query Manager, and how predictions are finally run in real-time using Cloud ML Engine and Datastore.
Speaker
Carlos Garcia
Ocado Smart Platform Fraud Team Lead
Carlos has eight years of experience developing software, most of it in high-traffic applications in the travel industry. Carlos joined Ocado Technology one year ago, as team leader of the Fraud Detection team. He has participated in the definition and implementation of a production-ready...
Read moreSpeaker
Przemyslaw Pastuszka
ML Engineer @Ocado
Przemek is a software engineer with six years of experience in the Big Data space. He started his career working for a US-based startup called Hadapt (now acquired by Teradata), building a distributed in-house file system which was designed as a highly-performant replacement for HDFS. After...
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Location
Mountbatten, 6th flr.
Track
Topics
Machine LearningGCPReal TimeNeural NetworksTensorflowInterview AvailableOcadoShare
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