The Copilot app cannot be removed arbitrarily. Three cumulative conditions apply: Microsoft 365 Copilot must also be installed on the device, the Copilot app must not have been installed by the user themselves, and the app must not have been launched in the past 28 days.
Exchanges are a place where you can submit an order to buy something, letting everyone know about the price you want and notifying you when your order gets filled. They serve as financial infrastructure, providing up-to-date prices and facilitating trades.
Generative AI is dissolving the economic logic that made standardized enterprise software the only practical choice for most companies. What replaces it will be shaped not just by the rapidly evolving capabilities of this new technology, but by leaders willing to ask a harder question: Which workflows do we actually need to own?
A Common Vulnerability Exposure (CVE) that cannot reach the privilege plane is operationally ineffective - even at a CVSS Score of 10. This should be a core philosophy that is embedded into the fabric of software engineering.
The VxD driver does a lot of the heavy lifting and is responsible for initializing WSL9x as well as handling userspace events that have to be relayed to the kernel (i.e., page faults and syscalls), which it does in a rather interesting way due to limitations in the Win9x architecture.
Blackbox Hosting has consolidated storage from two full racks down to just 8U of rack space following migration to Everpure FlashArray hardware, achieving a 10:1 data reduction ratio and an 85% reduction in power utilization.
Red Hat AI Enterprise provides a foundation for modern AI workloads, including AI life-cycle management, high-performance inference at scale, agentic AI innovation, integrated observability and performance modeling, and trustworthy AI and continuous evaluation. Tools are provided for dynamic resource scaling, monitoring, and security.
A North American manufacturer spent most of 2024 and early 2025 doing what many innovative enterprises did: aggressively standardizing on the public cloud by using data lakes, analytics, CI/CD, and even a good chunk of ERP integration. The board liked the narrative because it sounded like simplification, and simplification sounded like savings. Then generative AI arrived, not as a lab toy but as a mandate. "Put copilots everywhere," leadership said. "Start with maintenance, then procurement, then the call center, then engineering change orders."
In order to use agents or in order to use AI in IT operations, all of your systems need to be interconnected and what interconnects all of your systems is an automation platform. Interconnecting systems is only a piece of the puzzle though. There is also some well-founded concern about the autonomous AI systems we are moving towards. AI agents may make decisions and inferences, but enterprises remain hesitant to allow direct execution on production systems.
When ChatGPT launched in late 2022, I watched something remarkable happen. Within two months, it hit 100 million users, a growth rate that sent shockwaves through Silicon Valley. Today, it has over 800 million weekly active users. That launch sparked an explosion in AI development that has fundamentally changed how we build and operate the infrastructure powering our digital world.
Ring the bells, sound the trumpet, the Linux 6.19 kernel has arrived. Linus Torvalds announced that "6.19 is out as expected -- just as the US prepares to come to a complete standstill later today, watching the latest batch of televised commercials." Because while the big news in Linux circles might be a new Linux release, Torvalds recognizes that for many people, the "big news [was] some random sporting event." American football, what can you do?
For the longest time, Linux was considered to be geared specifically for developers and computer scientists. Modern distributions are far more general purpose now -- but that doesn't mean there aren't certain distros that are also ideal platforms for developers. What makes a distribution right for developers? Although I consider app compatibility, stability, and flexibility to be essential attributes for most any Linux distribution, developers also need the right tools
I've had several incarnations of the self-hosted home lab for decades. At one point, I had a small server farm of various machines that were either too old to serve as desktops or that people simply no longer wanted. I'd grab those machines, install Linux on them, and use them for various server purposes. Here are two questions you should ask yourself:
I recently wrote about my migration away from VirtualBox to KVM/Virt-Machine for my virtual machine needs. I've found those tools to be far superior (albeit with a bit more of a learning curve) than VirtualBox. Since then, however, I've found another method of working with KVM (the Linux kernel virtual machine technology), one that not only allows me to create and manage virtual machines on my local computer, but also from any machine on my LAN. That tool is Cockpit, which makes managing your Linux machines considerably easier.
The updates are installed onto a different (and isolated) system image or subvolume. Once the update finishes successfully, you can switch to the new system by rebooting. Again, if the update isn't 100% successful, it will not happen. And because this all occurs on a separate partition (or image), you don't have to worry about it affecting your system's current state.
Because of that, you need to be very familiar and comfortable with the command line. Or you can install a desktop environment. In my opinion, this is the single easiest way to make Ubuntu Server easier, especially if you're relatively new to Linux. Having a GUI desktop will strip away the fear of having to use the command line, because you'll have plenty of apps to use (such as the file manager, user manager, GUI app store, and much more).