Operations | Monitoring | ITSM | DevOps | Cloud

AI must be the hottest topic in the business news at the moment whether its public offerings like ChatGPT or the plethora of business offerings starting to appear. In a recent Gartner survey1 92% of CIOs believe AI will be implemented in their organizations by 2025 but turning the promise of AI into reality is not easy, in the same survey 49% of leaders highly involved in AI report that their organizations struggle to estimate and demonstrate the technology’s value.

By popular demand, we are happy to introduce several new strategies for syncing and merging branches in Bitbucket Cloud. Our goal is to provide you the full functionality of rebase and merge within the Bitbucket UI to help you manage your Git history according to your team's preferences. These new options have been among our most highly voted feature requests. In brief, here's what we've added.

AI is driving a new wave of opportunities in all kinds of edge settings—from predictive maintenance in manufacturing, to virtual assistants in healthcare, to telco router optimisation in the most remote locations. But to support these AI workloads running virtually everywhere, companies need edge infrastructure that’s fast, secure and highly scalable.

Cédric Gégout (VP of Product at Canonical) reflects on a recent research report that Canonical published in collaboration with Omdia. The report uncovered that despite the lack of widespread 5G standalone infrastructure, enterprises, industrial actors and service providers are preparing for 5G edge computing to produce returns within two years.

The EU Cyber Resilience Act is coming. I’ve talked about this piece of upcoming regulation in some depth before, having covered its background and stipulations in previous pieces on our website and for the Forbes Technology Council, and explored what it means for the businesses who consume open source in later articles (you can also read a version of this blog on Forbes).