Navigating the complexities of legacy systems, security threats, and scalability remains a significant challenge in the fast-evolving world of industrial technology. Erik Nordmark, co-founder of an edge computing company, has spent decades at the forefront of these issues. From his early days working with sensor networks and internet protocols to his current role building scalable, […]
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The concept of the “Factory of the Future” is no longer a distant vision; it is an achievable reality driven by the integration of advanced technologies, collaborative ecosystems, and forward-thinking strategies. Manufacturers seeking to transform their operations must balance innovation with practicality to build facilities that are agile, efficient, and resilient. This article explores key […]
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Licensing is a big part of using Aveva’s industrial software. But, like many powerful systems, it can be confusing and expensive. In this post, we’ll discuss the challenges of Aveva’s licensing model and why it can be tough for users. We’ll start by discussing common issues, such as the expense and complexity. Next, we’ll present InfluxDB, […]
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The rise of renewable energy has brought energy storage systems (ESS) to the forefront of modern energy infrastructure. These systems are critical in addressing the variability of renewable sources such as wind and solar. Industrial IoT (IIoT) technologies are emerging as essential tools for optimizing ESS, improving grid stability, and ensuring scalability. By leveraging IIoT, […]
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A new technical paper is now available, offering critical insights for industries seeking to modernize their data historians and improve overall operational efficiency. This paper explores the evolving role of data historians in the era of Industry 4.0 and how the adoption of modern, cloud-native solutions like InfluxDB can help overcome the limitations of legacy […]
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Most industrial IoT difficulties are rooted in data management shortcomings. However, these challenges are not the same as those faced in a purely IT setting. For example, operational technology (OT) data is high-velocity time series and event information that many times lacks the detailed metadata descriptors and features needed to leverage it outside of the […]
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