Humans in the Loop for Machine Learning Transforming Data with Intelligence

Integrating people into machine processes will have a significant influence in how ML is employed in business. Machine learning (ML) is gaining an increasing share of the public imagination, but its limitations are also becoming apparent. ML solutions can provide important new capabilities across a wide operational space, but we are still nowhere near creating an artificial general intelligence. Current ML solutions are sophisticated and may be combined to create broader applications, but they lack the real-world knowledge and human experience needed to create valid and acceptable outcomes on their own. An increasing part of the ML solution is human-in-the-loop capabilities where the machine matches a pattern but human input determines its validity and helps to refine the result.