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We have three months to go before Apple's new operating system hits the market. To get the development process off on the right foot, let’s break down some of the biggest changes and challenges with iOS 11 that are putting devops teams to
Google leads in cutting edge AI research, but lags behind Amazon, Microsoft, and IBM in market share for enterprise cloud and AI solutions. To win the enterprise AI wars, the search giant must overcome two key disadvantages.
No matter what language you use or platforms you support, there is a core set of tools everyone needs to have
Find out how large and small enterprises are using microservices to continuously modify, scale, and update their apps for changing business needs
Rapidly advancing software frameworks, dedicated silicon, Spark integrations, and higher level APIs aim to put deep learning within reach.
A new editor, a new build system, new Swift language capabilities, and wireless debugging are just the start
Apple's Core ML frameworks provide a standardized -- if limited -- way to embed machine learning into Mac and iOS apps
Serverless architecture and function-as-a-service platforms open a whole new world of simplicity, speed, and flexibility for developers