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GitHub and Microsoft have taken their AI-powered programming assistant into new territories, tackling code reviews, simple web apps, Java upgrades, and Azure help and troubleshooting.
Generative AI is causing excitement but not success for most enterprises. This needs to change quickly, but it will take some work that enterprises may not be willing to do.
Unsustainable demands for AI are on the horizon. People will soon have to stop fake-caring about cloud sustainability and give a damn for real.
Microsoft is building Azure’s secure virtual infrastructure in public, a step toward expanding trusted execution.
IT management’s call for strategic alignment and cost efficiency is leading to a new era of choices that will drive cloud innovation and collaboration.
In some countries, the government is attempting to regulate cloud computing, and cloud providers are suing each other over competition and lock-in. Where does that leave enterprises?
Microsoft’s own Arm hardware is now available on the Azure cloud, ready to offer power savings and higher density.
AI and other forces are lessening the gravitational pull of public cloud platforms. This trend might be good for enterprises.
Software as a service and low-code platforms can make some aspects of agile and devops easier, but not without adjustments. Here's how to modify your team's best practices for SaaS and low-code environments.
Despite soaring investments in artificial intelligence, the shortage of AI skills is stifling enterprise implementations.