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Google Cloud Platform Podcast

Cloud Video Intelligence API with Sara Robinson

32 min • 26 april 2017

Have you ever wanted to apply Cloud Vision API to videos? Well, Sara Robinson is here to tell your co-hosts Mark and Francesc about Cloud Video Intelligence API, which allows you to do that and much more.

About Sara Robinson

Sara is a Developer Advocate on Google’s Cloud Platform team, focusing on big data and machine learning. She helps developers build awesome apps through demos, online content, and events. Sara has a bachelor’s degree in Business and International Studies from Brandeis University.

When she’s not programming she can be found on a spin bike, listening to the Hamilton soundtrack, or finding the best ice cream in New York.

Cool things of the week
  • Getting started with Cloud Identity-Aware Proxy blog post
  • Distributed tracing for Go blog post
  • 220,000 cores and counting: MIT math professor breaks record for largest ever Compute Engine job blog post
Interview
  • Announcing Google Cloud Video Intelligence API, and more Cloud Machine Learning updates announcement
  • Cloud Video Intelligence API docs
  • Cloud Next Video Intelligence API demo
  • Users we mentioned:
  • Tensorflow: An open-source software library for Machine Intelligence docs

Cloud Video Intelligence API

Question of the week

Q: What is the recommended strategy for backups and restores on VMs

  • Creating Persistent Disk Snapshots docs
  • Google Cloud Storage Nearline docs
  • How to Design a Disaster Recovery Plan solution
Where can you find us next?

Mark is going to be hosting the Playcrafting + Extra Life Game Jame & Game Fest, raising money for UCSF Benioff Children’s Hospitals. Finally he’ll be in Sweden for Nordic Games Conference as well.

He also recently published a blog post on Scaling Dedicated Game Servers with Kubernetes: Part 1 – Containerising and Deploying.

Francesc will be presenting at the New York Google Developer Group for a Serverless event! Francesc has also released a new Just for Func episode, covering the implementation of the Context package!

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