IIoT-based predictive maintenance – A mission critical need for manufacturing
Industry 4.0 continues to gain momentum across every industrial and manufacturing segment. This revolution is built upon three primary technologies: Big Data, Edge Computing and the Internet of Things (IoT). As the adoption of IoT devices continues to grow, many organizations are switching to edge technology because of its advantages over legacy cloud solutions. One of the key advantages of edge computing is real-time predictive maintenance. In a predictive analytics solution, Artificial Intelligence (AI) is combined with Business Intelligence (BI) to monitor the operating condition and predict when to perform maintenance on that asset.
What is Predictive Analytics?
Predictive analytics uses statistical algorithms and advanced analytics combined with AI techniques to predict future outcomes based on historical and current data patterns. Organizations use this method to benefit possible future events by using predictive modelling to take maintenance decisions before a disruptive event. This technique imports data from the targeted asset synthesizes it and combines it with different data sources. Once a large amount of data is cleaned, the data analysis is initiated to recognize patterns and trends. In simple words, using Artificial Intelligence and Machine Learning technique, a machine can predict future events.
Benefits of Predictive Maintenance:
The Future of Predictive Maintenance
About Infinite Uptime
Infinite Uptime leverages IoT, machine learning, artificial intelligence, smart communications, cloud computing, analytics and data science techniques to accelerate digital adoption and turn Industry 4.0 into a business reality. To know more about us and our customer success stories, please visit www.infinite-uptime.com or write to firstname.lastname@example.org.