Welcome to The Cloud 5, our weekly feature where we scour the web searching for the five most intriguing and poignant cloud links we can find.
Before we jump into this week's links, please have a look at one of our recent blog posts, Google doubles down on AI at I/O. It was all AI all the time at the Google I/O developer conference last week, as Google made it clear it wants to be the AI cloud company.
And without further delay, here we go with this week's links:
What is motivating multi-cloud adoption in the enterprise? | SiliconANGLE
There are so many reasons why companies adopt a multi-cloud strategy, and several are cited in this post. Chief among them though is the fact that there is clearly a battle going on for cloud supremacy, where we could end up with more than one winner, and customers may want to avoid placing their bets on any single vendor.
Cloud computing is winning EVERYTHING | Network World
By now you might have heard that a horse called "Cloud Computing" won the Preakness, the second leg of horse racing's triple cloud. It seems cloud computing truly is everywhere, even becoming part of popular culture.
Microsoft claimed once again recently that it is the only cloud provider operating legally in China. The claim raised eyebrows at competitors AWS and IBM, who also have legal arrangements in China with the same business partners as Microsoft. It's not the first time a Microsoft executive has made such a claim, and it's not clear why the company continues to take this public stance.
In the AI wars, Microsoft now has the clearer vision | TechCrunch
A TechCrunch reporter (where I also write), went to both Microsoft Build and Google I/O. He got to see a lot of presentations from both companies, and he walked away from the experience believing that Microsoft has a clearer vision about implementing AI in the cloud. Google has lots of pure engineering talent, but it doesn't have Microsoft's experience building products in the enterprise.
Make sense of edge computing vs. cloud computing | Infoworld
We are in the midst of a yet another shift where devices like driverless cars or automated production systems will require split-second decision making, forcing computing to take place on the device itself (or at the edge), rather than in the cloud. That doesn't mean cloud computing is going to be replaced any time soon, but in these scenarios at least, its role could be changing to one where it uses machine learning to process data and improve performance across similar devices.
Photo Credit: Ron Miller. Used under CC 2.0 license.