How you can accelerate hyperautomation through the adoption of industrial IoT | SPONSORED
An investment in industrial IoT can power hyperautomation
Industrial organizations have embraced automation to improve operational efficiency and reduce human error. By and large, however, industrial automation is siloed – it is applied to individual aspects of the business, but not used holistically across the organization. The key to extending automation throughout your business is hyperautomation.
What is Hyperautomation?
Hyperautomation is the application of advanced technologies, like Artificial Intelligenec (AI), Robotic Process Automation (RPA) and Machine Learning (ML), working together to achieve a higher grade of automatization, breaking down data silos and further enhancing efficiency and decision making. The main goal of Hyperautomation is to expand the process of digitalization and automate even more.
Gartner calls it the No. 1 technology trend for 2020.¹
How to achieve Hyperautomation?
In order to successfully achieve hyperautomation, industrial organizations need transparency across their entire operations. With an industrial Internet of Things (IoT) solution, you can capture and analyze data from plants, processes, and products enabling this level of visibility. Furthermore, on top of your industrial IoT solution, you can deploy applications and advanced capabilities that allow you to continuously automate aspects of your business.
In this guide you will find out more about four specific areas where integrating industrial IoT can help you accelerate hyperautomation.
Sponsored by Siemens
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