#device-telemetry

#device-telemetry

Smart home technology can help minimize pollen's negative effects. A longtime pollen allergy sufferer shares strategies for managing allergies using smart home devices.

Qualcomm is helping address one of the auto industry's most pressing needs - scaling intelligent vehicle technology to meet growing consumer demand for vehicles that are automated, connected and highly personalised.

The resulting system now ingests over 100 million samples per second in production, showcasing the scalability and efficiency of the new metrics stack.

Smart TVs are capable of tracking user data, including viewing habits and app usage, which can lead to personalized advertising and content recommendations. Users may prefer to limit this tracking to protect their privacy.

Galileo provides AI teams with tools to evaluate the quality of AI outputs, detect errors before they reach end users, and continuously improve the behavior of AI agents in production.

In the past, roof inspections mostly focused on what could be seen from the outside. Contractors looked for broken shingles, worn flashing, or areas where water might enter the roof. The problem is that roof damage does not always show clear signs right away. Water can move through roofing layers before it becomes visible inside the home.

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.

The leap from a "functional" network to a professional-grade infrastructure is the difference between a dirt path and a multi-lane highway. As we integrate more high-bandwidth technology-from 8K streaming to AI-driven home security-the "consumer-grade" hardware typically provided by service providers is reaching its breaking point.

All smart homes are at risk of being hacked, but it's not a likely event. The type of bad actors that target smart homes and devices, such as security cameras, are opportunistic. They search randomly for easy targets -- they don't tend to choose a particular home to attack and then try to circumvent that specific system.

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.

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.

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.

AI and ML are critical for enabling autonomous, self-optimizing Wi-Fi networks capable of managing dense deployments and real-time performance demands. AI/ML reduces operational costs, improves reliability and security and delivers a more consistent quality of experience. Proprietary approaches, inconsistent data quality, and closed interfaces slow innovation and increase integration costs. Interoperable frameworks - not algorithms - will be key to success. Interoperability must include data models, telemetry, APIs, and model lifecycle management.

The fourth annual State of AI in telecommunications survey was carried out from September to November 2025, gathering responses from 1,038 respondents. It included a 60/40 split between management (including executives) and AI practitioners, including engineers, network operators, architects, cloud operators and IT. Respondents encompassed a range of industry segments, including internet service providers, independent software suppliers, network equipment providers, consulting services, operators and system integrators.