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For years, private clouds pushed traditional on-prem hardware. Will the recent move towards specialized private clouds, especially for AI, be different?
Will the new advances in serverless really address the problems enterprises have, or are they more hype to protect the public cloud providers’ investments?
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.
How open architectures let you simplify and customize multi-cloud management.
Workloads in the cloud and workloads on premises are both reasonable choices. Enterprises are about evenly split between the two.
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.
By using Google’s search results to ground generative AI applications, developers can provide users with more accurate, relevant, and trustworthy information, the company said.
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.