Monday 17 August 2020

Future of Machine Learning in HR

Machine learning has already made its mark in various fields like communication, healthcare, marketing, etc.  It is gaining prominence in the field of HR presently. Corporates are relying on it tom design and develop its HR strategies that would benefit the employees and help the company to meet its organizational goals. The areas where machine learning is going to help in HR are follows:

Enterprise Management

Various performance management engines are being developed at the enterprise level to determine the KPIs and manage employees’ performance. It also helps in solving fundamental business problems related to employee life cycle, overall productivity, etc. In recent past machine learning has helped in managing the optimal organizational and department size, manage selection process to get the best out of a candidate, strategize an on-boarding system that would enhance performance of the new joiner, etc. 

Post Hire Result

Machine learning would help in developing algorithms which can predict the outcome of any hiring decision made by a company. It would not merely match the skill requirement with the job role but would also help in determining whether the desired result would be achieved with the particular hiring. Sometimes organizations make mistake in hiring new people when the problem lies in under-productivity of existing workforce. With machine learning this problem can be averted and the root cause of under performance can be solved too.

Behavior Tracking and Data Based Decision Making 

Various new technologies and systems have been devised to monitor employees’ behaviour at workplace under different situation like intense work pressure, peer pressure, conflict with manager, dissatisfaction with appraisal, etc. The data received from these systems would help companies to take necessary actions and resolve issues before it leads to any severe situation. Data based decision making is more result oriented and helps organizations meet its goals.

Points to Remember

A well-designed AI application has 3 main components: main expertise, data science expertise and user experience expertise. People with data support can make better decisions than just relying on AI algorithms. Machine learning is emphasizing on people centric approach and enabling companies to reduce time waste, manage effort of employees seamlessly, less administration and more opportunity of individual development. All these are making companies more proactive in nature than reactive, it is indeed the future of HR.

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