How Machine Learning is Improving Business Intelligence - insideBIGDATA

Simply put, machine learning (ML) is a process a software application uses to actively learn from imported data, using it in a way humans would use past experiences as a part of their learning process. Business intelligence (BI), on the other hand, is a complex field representing a process that depends on technology to acquire, store, and analyze business-related data. The goal of BI is to reach optimal courses of action in as short time as possible, so the process includes several different aspects, such as analytics, predictive modeling, performance management, data mining, etc. MIT Sloan reports that, according to their survey questioning executives from 168 large companies, two out of five companies have already included ML in their sales and marketing efforts. This information comes as no surprise, as the processes behind machine learning have close ties to those of data mining and predictive modeling. When it comes to processing large amounts of data, there simply is no comparison between what a human and a machine can do, so ML naturally appears on stage as a potent tool BI can greatly benefit from.