Tensorflow

Past Presentations

Machine Intelligence at Google Scale

The biggest challenge of Deep Learning technology is the scalability. As long as using single GPU server, you have to wait for hours or days to get the result of your work. This doesn't scale for production service, so you need distributed training on the cloud eventually, or take advantage of...

Guillaume Laforge Developer Advocate at Google Cloud and PMC Chair for Apache Groovy
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...

Carlos Garcia Ocado Smart Platform Fraud Team Lead
Przemyslaw Pastuszka ML Engineer @Ocado

Interviews

Carlos Garcia Ocado Smart Platform Fraud Team Lead Przemyslaw Pastuszka ML Engineer @Ocado

Real-Time Decisions Using ML on the Google Cloud Platform

What is the focus of your work today?

Carlos: The team is currently building the new ML-powered fraud application, to be used by fraud agents at Ocado and also other retailers using our Ocado Smart Platform. The team is currently focused on building the pipelines that allow us to integrate the real-time production systems with the “big data” stored in Google Cloud and...

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