GCP (Google Cloud Platform) Next 2016 - "Now provides. Next predicts." - Sendachi

#artificialintelligence 

The geographic expansion raised probably the most excitement: Google has committed to add two additional data centers this year to the current 3, following by yet another 10 new datacenters in 2017. This will be an impressive geographical coverage ramp up in two years, and will act as genuine competition against the other big providers. It looks like Google has a well cooked "recipe" for building cloud data centers, and in fact they have not kept this as a secret to themselves, but released it for public consumption with all the standard best practises, along with other papers such as its highly scalable network load balancer design. While the platform is geographically expanding, the focus is also on technology innovations and the Google team are releasing Machine Learning and Big Data offerings one after the other at a fast pace. Nowadays, Machine Learning (ML) is playing a key role in all aspects of IT, including the operating data centers (according to Google). Machine Learning services have been around for a while: Google's Prediction API is available since 2011 and was probably among the first ones to publish ML services in the cloud.

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