Enhancing Industrial Internet of Things with Machine Learning

The application of machine learning in the Industrial Internet of Things (IIoT) enhances predictive analysis and maintenance. 

The Internet of Things (IoT) is a giant network of things where people communicate with each other using various wired and wireless technologies.

IIoT is IoT used solely within industries. While IoT is leveraged for consumer purposes, IIoT is used within industries, such as manufacturing, supply chain, logistics, agriculture, and many more. With the rise of big data analytics and machine learning, industries have made many revolutionary gains. IIoT aims at collecting real-time data through sensors. The application of machine learning in IIoT enables organizations to gain incredible insights about the manufacturing industries. According to Louis Columbus of Forbes magazine, IIoT is estimated to unlock manufacturing savings of more than 11 trillion dollars by 2025. This states one of the many benefits of saving capital by using IIoT in industries.

Benefits of Machine Learning

Machine learning offers numerous benefits to organizations as well as the end users. One of the exciting benefits of machine learning is that systems will eventually learn and adapt to new environments for a given task, for which the system was earlier being trained on an entirely static data set. Machine learning enables business folks to understand a customer’s behavior and accordingly send her the best possible offers based on their browsing and purchase history. This helps organizations boost their marketing skills and also allows customers to get incredible offers and discounts. Moreover, machine learning provides predictive maintenance, which enables companies to discover insights and hidden patterns in a business. This helps to reduce the risks that enterprises face or might face in the future. Additionally, predictive maintenance helps organizations reduce the enhanced costs. Machine learning, along with other modeling algorithms, can eliminate errors caused during manual data entry. This allows employees to utilize their time to add productivity to their company. Machine learning helps to overcome cyber threats as well as improves customer relationship management.

Application of Machine Learning in Industrial Internet of Things

The application of machine learning in IIoT provides positive outcomes to industries with the ability to adapt to and learn from new environments. One of the primary uses of machine learning is predictive analysis. Machine learning can analyze data and predict the future outcomes by classifying the previous similar datasets by the technique termed as predictive analysis. Moreover, it helps organizations to gauge value from the collected data. The modeling algorithms used by machine learning help various industries to achieve precision in their business. One of the most vital benefits of machine learning is predictive maintenance. There arises a query in every organization about anomaly detection in systems. Machine learning helps in identifying abnormalities in systems using predictive maintenance. Furthermore, machine learning also helps in predicting the could-be disasters for devices by analyzing the changes caused in the patterns of their operations. For instance, in the aircraft industry, machine learning can be used to explain the delayed or canceled flights based on the performance history of the aircraft.

The application of machine learning in IIoT will allow organizations to discover patterns and hidden insights with real-time sensors collecting data from various areas. It will enable companies to save their time, cost, and to make huge profits for their business.