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Wind River Launches Analytics Software for Processing Data on Devices Without the Cloud
Immediate results expected in edge maintenance, self-service support, and security.
Wind River announced that it is expanding its VxWorks IoT portfolio, a real-time operating system (RTOS) optimized for market demands, by launching 'AXON Predict Analytics for VxWorks,' a real-time analytics solution that provides device analytics capabilities.
With this new product, compatible with Wind River's RTOS (Real-time Embedded OS) VxWorks, developers can enhance process efficiency by embedding device-based analytics into applications, extracting high-volume streaming data about processes and products, and processing that data in real time.
In addition, it provides methods to utilize predictive analytics, machine learning, and artificial intelligence. Since the Axon Predix Analytics solution processes data directly on devices without a cloud connection, it has now opened the way to obtain real-time automated responses by managing critical data at the network edge through visual edge analytics software.

One of the reasons for the continued growth of IoT is that network infrastructure costs are steadily decreasing; however, for many companies, these costs remain a major factor in the rise of overall system costs. Nevertheless, processing analytics functions at the edge can optimize these costs. In addition, by leveraging the enhanced device-mounted computing capabilities through this analysis solution, one can also gain the benefit of lowering the risk of system hacking by limiting unnecessary data distribution.
The applications of the Axon Predix Analytics solution are virtually limitless, but immediate results can be expected, particularly in the fields of predictive maintenance, self-service support, self-healing, and security, ensuring high business value. For example, regularly performing predictive maintenance on a 10-year-old air compressor worth 35 million won can extend the machine's lifespan by up to 4 years, saving up to 65 million won in costs.
Lee Ju-yeon, General Manager of Wind River's Korean Industrial Market, explained, "Through 'Axon,' a predictive analytics engine operating at the edge, businesses can maximize the value of IoT data by securing insights tailored to their needs and fast response times, as well as managing costs and security risks."
Wind River announced that it is expanding its VxWorks IoT portfolio, a real-time operating system (RTOS) optimized for market demands, by launching 'AXON Predict Analytics for VxWorks,' a real-time analytics solution that provides device analytics capabilities.
With this new product, compatible with Wind River's RTOS (Real-time Embedded OS) VxWorks, developers can enhance process efficiency by embedding device-based analytics into applications, extracting high-volume streaming data about processes and products, and processing that data in real time.
In addition, it provides methods to utilize predictive analytics, machine learning, and artificial intelligence. Since the Axon Predix Analytics solution processes data directly on devices without a cloud connection, it has now opened the way to obtain real-time automated responses by managing critical data at the network edge through visual edge analytics software.
One of the reasons for the continued growth of IoT is that network infrastructure costs are steadily decreasing; however, for many companies, these costs remain a major factor in the rise of overall system costs. Nevertheless, processing analytics functions at the edge can optimize these costs. In addition, by leveraging the enhanced device-mounted computing capabilities through this analysis solution, one can also gain the benefit of lowering the risk of system hacking by limiting unnecessary data distribution.
The applications of the Axon Predix Analytics solution are virtually limitless, but immediate results can be expected, particularly in the fields of predictive maintenance, self-service support, self-healing, and security, ensuring high business value. For example, regularly performing predictive maintenance on a 10-year-old air compressor worth 35 million won can extend the machine's lifespan by up to 4 years, saving up to 65 million won in costs.
Lee Ju-yeon, General Manager of Wind River's Korean Industrial Market, explained, "Through 'Axon,' a predictive analytics engine operating at the edge, businesses can maximize the value of IoT data by securing insights tailored to their needs and fast response times, as well as managing costs and security risks."
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