Operations | Monitoring | ITSM | DevOps | Cloud

The promise attached to AI in operations has outrun the evidence. The pitch, repeated across keynote stages and vendor decks, is that AI will run your operations: detect, decide, remediate, and close the loop while the on-call engineer sleeps. It is a tidy story. It is also not the one that holds up at three in the morning when a cascading failure is halfway through your fleet.

Zebra Nucleus and Workcloud solutions give organisations end-to-end control of device fleets and data-driven insights to optimise intelligent operations.

In recent years, artificial intelligence has significantly transformed digital communication and social media management. One of the fastest-growing platforms benefiting from this evolution is Telegram. As communities scale and content volume increases, manual engagement becomes inefficient. This is where AI-driven solutions such as neuro commenting and automation tools play a crucial role in maintaining active, responsive, and engaging communities.

If you've been following open-source AI in 2026, MiniMax has probably crossed your radar at least once. The Shanghai-based lab has been quietly releasing models that punch well above their weight - and now, with M3 dropping on June 1, 2026, the question everyone's asking is: does it replace M2, or do they serve different purposes? Let's break it down clearly, without the hype.

AI is transforming how people approach and build web applications. What once took weeks or even months of writing code can now be done in a matter of hours using AI-powered tools. These tools can do everything from generating wireframes to identifying bugs and automating documentation. However, developing a web app with AI isn't just about prompts and copying and pasting code. Developers must understand how to integrate AI into their workflows, validate AI-generated outputs, and follow best practices.