The global data visualisation market is growing by up to $900 million a year, and is expected to be worth over $9 billion by 2026, according to a statement from UK-based data visualisation provider Zegami. The statement outlines the results of analysing 360 Reports' research into the market. The statement claims this growth is fuelled by the huge proliferation in the amount of data being produced, the increased use of data visualisation in data analytics and business intelligence tools, and organisations looking to find ways to reduce their increased expenditure on data warehousing and storage costs. As well as the traditional use-case of providing insights that can aid in financial and business decision making, Data visualisation tools also have a role to play in compliance and meeting regulatory requirements. Zegami's statement claims that it will also be vital in the development of artificial intelligence, where machines and computers will increasingly make more decisions without human input.

GCP (Google Cloud Platform) Next 2016 conference was held in San Francisco, which gave some insights into the upcoming GCP roadmap, and acted as a reminder that Google needs to be taken seriously in the Public Cloud Provider space. 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).

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.