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AI is not only changing the world at large, it’s radically changing the professional worlds of all IT workers—from developers and SOC analysts, to helpdesk staff, I&O teams, enterprise architects, and CIOs. What new skills and knowled
Developers have a front-row seat on the rollercoaster ride of generative AI. How we use it in our daily work tells us a lot about where the AI boom is headed.
Developer burnout is a real and widespread problem, and AI technologies seem to be making it worse. Here’s what you need to know about developer burnout and how to fix it.
The service disruption in the Azure East US region reveals capacity problems that are happening more often. Enterprises need to rethink their strategies, enforce stricter SLAs, and accept that public clouds are still vulnerable.
We all depend on open source basics like the Linux kernel, Kubernetes, or security and maintenance software. Let’s take a moment to acknowledge the people—and companies—keeping them in shape.
Recent government sanctions are causing public cloud providers to wonder if they must act as unofficial enforcers. Some businesses are responding by moving to private or sovereign clouds.
Once again, too many standards are vying for dominance in solving a relatively simple problem. The IT industry needs to break this counterproductive pattern.
If you want trustworthy AI results, you need trustworthy people shaping the prompts, verifying the data, and overseeing the whole AI process.
Big cloud brands are using nonexistent AGI as a marketing gimmick to boost interest in their cloud offerings.
Developers seeking jobs in AI-driven organizations want to know what tech leaders and hiring managers are looking for. Here’s our list.