[Industrial IoT Playbook] Connecting OT Assets at Scale | SPONSORED
The number one challenge the enterprise customers face when enabling Industrial IoT is how to connect to all their OT assets at scale. With so many different types of industrial assets, data sources, and protocols being used – the need for a rapid, secure, and scalable OT connectivity solution is real.
Download this Playbook to understand the top connectivity challenges, OT asset connectivity, and how Litmus works with other solutions.
Many manufacturers may have SCADA and MES systems to manage and control resources and plant processes. In addition, many are using OPC UA for basic data collection and sharing data between OT and IT systems. In the white paper, you will find a breakdown of the most common OT systems and how Litmus enhances and builds on those investments to solve connectivity and enable the free flow of data across the enterprise. Is Internet of Things going to replace SCADA systems?
You will get insights into how to scale connectivity. As you develop your Industrial IoT Playbook, key capabilities will help you successfully connect OT assets at scale. Get the capabilities checklist from the same white paper.
Read this guide to learn how Litmus helped hundreds of customers solve their OT asset connectivity challenges once and for all to achieve complete, secure, enterprise-scale data flow. Understand why other OT systems don’t go far enough to connect to every asset and share data intelligence at scale. Then see how you can put the data to work to power applications that improve operations.
More about Connecting Assets: 5 Things to Keep in Mind
Sponsored by Litmus
Low-Code Platforms: Making Sense of Manufacturing Data
The manufacturing industry is awash in data. From sensors on the factory floor to enterprise resource planning (ERP) systems, manufacturers generate vast amounts of information every day. However, extracting meaningful insights from this data deluge can be a daunting task.
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 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