The Ultimate Guide to IIoT Standards and Interoperability for Manufacturers | SPONSORED
The Standards and Interoperability digital booklet is an essential resource for manufacturers looking to navigate the complexities of the Industrial Internet of Things (IIoT). As manufacturing processes become increasingly connected, the ability to achieve seamless data interoperability has become a critical factor in driving operational efficiency and competitive advantage. This guide offers insights and practical strategies to help manufacturers overcome challenges in IIoT implementation, creating a foundation for smarter, more efficient production environments.
Key topics covered include:
- The Importance of IIoT Standards and Protocols: Learn how key standards such as MQTT and Sparkplug are revolutionizing data connectivity. These protocols support secure, scalable, and efficient IIoT implementations, creating reliable pathways for data exchange across devices and systems. Adopting these standards means less downtime and more predictable data flows for manufacturers.
- Adopting Modern IIoT Architectures: Explore emerging architectural models like Unified Namespace (UNS) and Hub-and-Spoke, which simplify data integration across diverse systems. These architectures allow for real-time insights, better decision-making, and a more streamlined approach to data management, enabling manufacturers to harness the power of their data more effectively.
- Expanding Role of OEMs: Original Equipment Manufacturers are now critical players in IIoT, providing equipment, data-driven insights, and platforms that help customers make the most of their IIoT investments. Learn how OEMs partner with manufacturers to increase production resilience and improve visibility across the production chain.
- DataOps and AI-Enhanced Efficiency: Discover how DataOps and AI transform industrial data management. These technologies automate processes, reduce errors, and enable predictive maintenance, helping manufacturers reduce waste, lower costs, and improve production quality.
- Meeting Sustainability and Compliance Goals: Contextualized data enables manufacturers to meet regulatory requirements and advance sustainability initiatives. By integrating sustainable practices into everyday operations, companies are setting the stage for a more resilient, future-ready approach to manufacturing.
Get actionable insights on IIoT standards, architectures, and technologies by downloading this comprehensive booklet designed by IIoT World.
Sponsored by HighByte and HiveMQ
Data Retention for Long-Term IIoT Monitoring Using Time Series Databases
Traditional industries have evolved by implementing many Industrial IoT practices, where we can get data from mechanical devices and sensors. Such real-time data monitoring helps perform better analysis, predict equipment failure, and reduce operating costs. However, IIoT creates enormous volumes
Predictive Maintenance: The Hidden ROI Driver Manufacturers Can’t Ignore
Every minute of downtime costs manufacturers thousands, sometimes millions, of dollars. Predictive maintenance, powered by real-time IIoT platforms, offers a proactive approach to avoid costly equipment failures and production halts. The Cost of Reactive Maintenance Traditional maintenance approaches often rely on either:
Predictive Maintenance in IIoT: Leveraging Time Series Data for Equipment Longevity
The industrial Internet of Things (IIoT) helps bind machines, sensors, and systems together. They form a network of intelligent devices working together to generate and share data. This approach to managing devices has revolutionized how industries manage, monitor, and maintain