With exceptional capabilities to understand complex behaviours, the influence of machine learning (ML) is becoming very much evident in every facet of life. From powering IoTs, boosting automation, and catalyzing innovations, ML is proving instrumental in taking the business capabilities of firms to the next level. However, it’s crucial to note that ML doesn’t work on its own and rather needs the foundational support of Big Data. Data is the primary feeder for machines to learn and by focusing on both the quality and quantity of the data, the efficiency of ML can be enhanced significantly. Especially in the domains of employee engagement and talent management, Big Data is emerging as a key success factor for organizations worldwide. The more data an organisation has about its people, the more opportunities for the Machine to learn employees’ behaviours, predict their outputs, and identify key trends that are likely to decide their engagement with organisations.
Diving into vast troves of human resource data, ranging from recruitment and employee...
