The industrial Internet of Things (IIoT) helps bind machines, sensors, and systems together. This IIoT World article, sponsored by InfluxData, examines how time series databases support predictive maintenance in industrial IoT environments. They form a network of intelligent devices working together to generate and share data. This approach to managing devices has revolutionized how industries […]
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IIoT World’s latest booklet, “Enhancing Manufacturing Processes Through AI and Low-Code Integration,” is a must-read resource for manufacturers looking to leverage cutting-edge technologies to drive efficiency, innovation, and productivity. This guide delves into the synergy between AI and low-code platforms, offering actionable insights to help manufacturers streamline processes, reduce downtime, and stay ahead in an increasingly competitive […]
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IIoT World documented the five most common reasons AI projects fail in manufacturing, based on practitioner discussions at the AI-Driven Process Optimization session. Data quality, limited generalizability, neglecting human-centric tasks, unclear ROI targets, and internal buying friction each derail projects that succeed technically but never reach production.Here are some common reasons why AI projects fail […]
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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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Have you ever wondered how industries using smart devices handle tons of unique data loading on their server? High cardinality data allows for detailed tracking and monitoring of each sensor, machine, and device in real-time. Finding patterns and irregularities in this data type is necessary for interpreting large-scale, complex industrial processes. Each sensor has its own […]
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The increasing volume and diversity of IIoT data present significant challenges for interoperability and integration. While standards are crucial for establishing a common language for data exchange, they alone cannot solve all the challenges. This article will explore how standards and architectures are evolving to address these challenges.The Role of StandardsStandards are essential building blocks […]
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The Internet of Things (IoT) is transforming industries by integrating physical and digital systems, offering significant benefits for industrial operations. However, its adoption has not met expectations due to challenges such as interoperability, cybersecurity, and workforce readiness. This article will examine the challenges and opportunities of Industrial IoT based on a new report by the […]
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Nordic Sugar, a key player in the sugar production industry and a part of the Nordzucker Group, has been pioneering innovative maintenance strategies at its Nakskov plant in Denmark. As part of their continuous improvement efforts, they have embarked on a significant project to implement predictive maintenance on their steam dryer, a crucial component in […]
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MAJiK Systems creates software that helps manufacturing and industrial engineering companies improve their factory operations using data-driven manufacturing methods. The company designs a full suite of Visual Factory tools that use data from the machines themselves to power AI-driven insights.The challenge at handMAJiK Systems is no newcomer when it comes to building visual manufacturing tools […]
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Predictive maintenance, a strategy revolutionizing industrial operations, hinges on the power of data to foresee machinery malfunctions before they occur. Imagine a scenario where your washing machine company calls to preemptively fix a pump on the brink of failure, saving you from unexpected downtime and additional damage. This concept, scaled to industrial proportions, underlines the […]
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In the industrial sector, unplanned downtime can lead to significant financial losses. Predictive maintenance offers a solution to this problem by identifying potential issues before they cause disruptions.One crucial component of an effective predictive maintenance system is a time series database. These specialized databases, designed for use cases involving time series data, are ideal for […]
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In the bustling arena of the industrial landscape, the repercussions of unplanned downtime resonate deeply. According to a study by Aberdeen Research, unplanned downtime can cost a company as much as $260,000 an hour. Such challenges have been a persistent thorn in the side of industries, often leading to production halts, missed delivery timelines, and […]
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