IoT and Employee Empowerment: How Connected Devices are Redefining Work
Employee empowerment is essential when implementing IoT devices into the workforce. But it can be easier said than done. Picture yourself walking through a large retail chain store at the height of the holiday season. As you navigate the aisles, dozens of employees are hard at work—restocking inventory, helping other customers find what they need, […]
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Adopting SGP.32: What Enterprises Need to Know
As the Internet of Things (IoT) continues to grow and evolve, managing connectivity for constrained IoT devices has become increasingly complex. The latest advancement in this area, the SGP.32 standard for Remote SIM Provisioning (RSP), offers a more streamlined and user-friendly approach. This new standard is set to replace the older SGP.02 standard, but transitioning […]
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What is an embedded system?
An embedded system is a combination of computer hardware and software designed for a specific function. Embedded systems might also function within a larger system. These systems can be programmable or have a fixed functionality. Embedded systems are used today to control numerous devices. For example, they’re used in industrial machines, consumer electronics, agricultural and […]
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Golioth’s Free Zephyr Training in September
Join Golioth’s free Zephyr training in September and learn how to work with Zephyr RTOS from Golioth experts without leaving your home! As the fastest-growing RTOS, Zephyr is well worth learning, but most people need a little help getting started. Golioth’s next live and hands-on free Zephyr training workshop happens online on September 11th, 2024. Our training […]
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Solar Energy Production and Consumption with AI
Solar panels and connected battery systems are still novel technologies in the grand scheme of things, even though they can feel like old news, given how often governments talk about them. Professionals and IoT enthusiasts see potential for solar energy growth by integrating AI. How can this combination forge next-generation tech to be more efficient […]
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The Role of IoT in Reusable Cups
In our modern, fast-paced world, disposable cups have become ubiquitous in daily life, contributing significantly to global waste. However, the Internet of Things (IoT) is emerging as a powerful ally in the battle against waste, supporting innovative use cases that promote recycling and the use of reusable cups. This shift not only helps the environment […]
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What is the difference between Windows 10 vs. Windows 10 IoT?
When IoT devices were first invented, they had incredibly simple functions, such as vending, but now, organizations use IoT for edge computing tasks, bringing more management and maintenance needs to these devices. With added functionality come security concerns as well, so IT teams must carefully select the right underlying OS and management for these unique […]
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Iveda Integrates IvedaCare and IvedaAI at AZ Senior Living Facility
Iveda®, the global leader in cloud-based AI, announced that Waymark Gardens, a senior living facility in Glendale, AZ, has expanded its use of Iveda’s sensor-based, HIPAA-compliant solution, IvedaCare, with the integration of IvedaAI™. IvedaAI – the world’s fastest AI video search platform, enabling real-time object and incident detection – will be deployed in public spaces […]
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IoT Trends in Manufacturing: From Smart to Virtual
From the early 1900s to the 2000s, the manufacturing industry underwent significant innovation, beginning with lean manufacturing that introduced efficient assembly line production and specialized machinery tailored for specific tasks. Moving into the 2000s, the focus shifted towards the “smart factory,” integrating connected devices and automation to enhance equipment effectiveness and employing predictive maintenance to […]
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What is synthetic data? Examples, use cases and benefits
Synthetic data is information that’s artificially manufactured rather than generated by real-world events. It’s created algorithmically and is used as a stand-in for test data sets of production or operational data, to validate mathematical models and to train machine learning (ML) models. While gathering high-quality data from the real world is difficult, expensive and time-consuming, […]
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