Rapid developments in internet protocols and computing systems have become a key to creating an effective and easier communication between different devices. IoT has created a new realm in the field of technology, and it is continuously generating a massive amount of data from different sources, and they are becoming more intelligent due to significant support of data science and data analytics. Today, one of the significant functions of any organization is big data management. Alongside big data management, machine learning plays a vital role in collecting, filtering, storing, and analyzing the data created by IoT and its connected devices.

Using machine learning for data management is one of the significant areas that have become a great function of artificial intelligence today.  Machine learning tries to replicate the human brain to perform difficult and risky jobs of a business. In other words, it reduces the human touch from the business process and adds more machine learning algorithms in performing those processes. These algorithms facilitate the calculation of signals and the determination of the output.

The most valuable advantage of machine learning is that it ensures an automated data analysis of the collected and shared data from IoT devices. Most of the organizations opt these technological applications in their business to mainly improve their efficiency in functions and reduce various costs. The data analysis automation helps them to achieve all these goals without much effort due to its high-end efficiency and performance.

Predictive analytics, an analysis of the collected data by gradually recognizing the regular patterns and algorithms has contributed to data management of organizations. Here, a system or device that is continuously monitored by a human analyst triggers the automatically analyzed data and makes predictive decisions for helping the organizations to add additional inputs to enhance their business. The machine learning system provides a prescriptive power that helps the organizations to make predictions that can secure their future. These advantages enable them to achieve assured business growth and improved productivity.