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Wednesday - January 18, 2017
Apple on Tuesday alerted its development community that it will be raising prices on apps sold through its App Store in the United Kingdom. Several factors influence App Store price tiers internationally, including currency exchange rates, business practices, taxes, and the cost of doing business, Apple said, noting that the factors vary by region and over time. App Store price increases also are ahead for India, due to changes in service taxes, and Turkey, due to depreciation in the Turkish lira, Apple said. [More...]

Wednesday - January 18, 2017
Google on Tuesday announced three new updates to Google+ in an effort to revive interest in the faltering product. The added features will be rolled out next week, when the old Google+ layout will vanish. First, lower quality comments will be hidden, although Google didn't explain how comments will be judged or who will make those calls. Google has tweaked the Google+ user interface to display more posts and less white space. Further, a zoom functionality has been added to photos on Google+. [More...]

Wednesday - January 18, 2017
Red Hat on Wednesday announced the general availability of Red Hat OpenShift Container Platform 3.4. This latest version helps organizations better embrace new Linux container technologies that can deliver innovative business applications and services without sacrificing existing IT investments. It offers dynamic storage provisioning for both traditional and cloud-native applications, as well as multitenant capabilities that can support multiple applications, teams and deployment processes in a hybrid cloud environment. [More...]

Wednesday - January 18, 2017
At OpenWorld, Oracle jumped into the AI and machine learning space for its CX products, aka CRM, and other applications, like HCM, with an interesting difference -- a huge data store to help educate the algorithms that work for you. Machine learning depends on data about prior situations that the learning algorithms can use to get smart about a situation. Ten examples are good, 100 are better. Generally, the more samples there are the more refined a recommendation can be. That's why machine learning never really ends. [More...]

 

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