AI Armor provides dynamic runtime security and relies on a central policy engine in the Universal Management Suite (UMS) to meet compliance requirements, ensuring that organizations can manage their security effectively.
Long-range radio waves can pass through obstacles more easily, which makes them perfect for monitoring expansive factories or outdoor infrastructure. A recent report by Fabrity highlighted that these systems use very little power. This allows sensors to operate for 5 to 10 years on a single battery. Using such tech means you do not have to install expensive wiring across your entire site.
Anthropic is expanding its push into the enterprise market with a new set of "coworker" plug-ins designed to embed its Claude AI directly into tools used by investment bankers, HR teams, and engineers, signaling a shift from standalone assistants toward AI agents that operate inside core business workflows.
Retail point-of-sale systems today offer a wide range of options for peripherals and hardware. Their technical specifications play a major role in selection, and big retailers often choose multiple vendors to reduce a single point of failure. This gives them an advantage to negotiate price or support as well. Technically, these peripherals also require updating with new models and may have new feature sets. This necessitates the redevelopment of point-of-sale applications, increasing development costs.
Edge computing is a type of IT infrastructure in which data is collected, stored, and processed near the "edge" or on the device itself instead of being transmitted to a centralized processor. Edge computing systems usually involve a network of devices, sensors, or machinery capable of data processing and interconnection. A main benefit of edge computing is its low latency. Since each endpoint processes information near the source, it can be easier to process data, respond to requests, and produce detailed analytics.
The answer is to run a wired network connection to your home office. Wi-Fi is great for mobility, but a wired connection offers many advantages when it comes to working from home. It's faster and more reliable, with lower latency, all of which matters if you regularly share large files, participate in high-quality video meetings, or even (ahem) play games.
Baron traces the origin story back to his time building high-scale systems at Instana (which exited to IBM in 2020), where the reality of "always-on" platforms made one thing obvious: the tooling we rely on is often too low-level, too rigid, and too disconnected from real-world use cases. That gap has only widened as environments have exploded in complexity-more cloud providers, more managed services, more hybrid setups, more internal APIs, and "gillions" of tools stitched together into brittle workflows.
Matter, the smart home connectivity protocol that revolutionized the IoT world, has done wonders to bridge the interoperability gaps between brands. For various reasons, however, Matter hasn't completely solved the problem of incompatibility in the smart home. IoT company Copilot.cx aims to change that by giving users access to different brands' devices with a single mobile app. Copilot.cx has introduced Copilot Star, a platform that enables manufacturers to builda branded app based on a single framework, connecting smart home devices running on different platforms.
All of the appliances and systems are brand-new: the HVAC, the lighting, the entertainment. Touch screens of various shapes and sizes control this, that, and the other. Rows of programmable buttons sit where traditional light switches would normally be. The kitchen even has outlets designed to rise up from the countertop when you need them, and slide away when you don't.
Originally developed by Nest (before the Google acquisition), Thread has existed since 2011. Devised as a power-efficient mesh networking technology for internet-of-things (IoT) products, Thread gathered pace after the 2014 formation of the Thread Group, which develops the technology and drives its adoption as an industry standard. Founding members like ARM, Samsung, Google, and Qualcomm have been joined by Apple, Amazon, and many other big companies over the years.
Windows PCs have faced death threats for decades from a variety of rival devices, including tablets, Macs, Linux computers, and other hardware. But the rise of Ai in recent years could be helping to revive interests in PCs as company's contemplate upgrades in the near future, The first " AI PCs" were introduced amid much fanfare in 2024, and shipments are growing. But enterprises that picked up early AI PCs have been stymied in their embrace of the technology as meaningful offline applications haven't yet materialized.
With many AI projects failing, there's no one-size-fits-all formula for advancing AI proofs of concept to real-world use in the corporate world. But two companies, Ernst & Young (EY) and Lumen, have had success - though they've tackled the issue in dramatically different ways. EY, being in a regulated space of finance and tax, has embraced what it sees as a measured and responsible approach while managing the risks that come with rolling out new technology. Lumen has been more aggressive, working to create an AI culture at the company by giving all employees AI tools from day one.
LLMs have made AI assistants a standard feature across SaaS. AI assistants allow users to instantly retrieve information and interact with a system through text-based prompts. Mathias Biilmann, in his article " Introducing AX: Why Agent Experience Matters," discusses two distinct approaches to building AI assistants. The Closed Approach involves a conversational assistant embedded directly within a single SaaS product. Examples include Zoom's AI Companion, Salesforce CRM's Einstein, and Microsoft's Copilot. The Open Approach involves external conversational assistants, such as Claude, ChatGPT, and Gemini,