Role of Machine Learning in Managing Crowd Intelligence

Abstract

Machine learning is one of the essential technologies that is prevailing nowadays in almost every sector of business and education. People are becoming more advanced and developed gaining higher levels of technologies and learning data. Machine learning plays a key role in monitoring and facilitating various aspects of crowd intelligence which includes identification of a good level of workflow, collecting responses from individuals regarding workflow, and testing of various methods that can enable in crowdsourcing of the task. Various methods are adopted under machine learning to improvise and increase the demanded track of career and growth pace of business firms. One of the best methods which are available for analysing data and used by professionals is crowd-powered machine learning which in turn facilitates in automation of the building of analytical models. The following research is also based on a similar aspect in which discussion is been made regarding crowd-powered machine learning as well and an evaluation of the intelligent management of crowd-powered machine learning is also ascertained. Furthermore, the research also discusses the role played by machine intelligence in the management of crowd intelligence in AI. The research has also highlighted the various methods as well as techniques in order to understand the role of machine learning in the effective management of crowd intelligence.