Artificial Intelligence: The Need of Smart HR, Industry 4.0
Author(s):
Dr. Snehal K. Tare
Keywords:
Artificial intelligence, Smart HR, Forth Industrial Revolution, Digitization
Abstract
Smart HR concept is developing fast by integrating the data analytics tools in HRM. Organizations are more focusing on increasing technology coverage and its utilization as it is helping to create a strong human resources information platform. In the era of digitization, organizations are interested in growth and expansion of businesses. Smart HR refers to the offering world class human resource services by using advanced digital tools and techniques. Use of Technology, in every facet of life has changed the way we perceive things and live life. There have been many examples of disruptive technologies, which takes the place of the one existing and cause the older ones to become obsolete. One such example of disruptive technology is Artificial Intelligence, where computers or machines could be programmed in such a way that they could replicate the thinking, reasoning and decision-making ability of a human brain to provide a course of action or a solution. A variety of tasks like taking decisions, making predictions, which are repetitive in nature, could be delegated to the Artificial Intelligence of machines using Techniques like Machine Learning and Deep learning. Recognizing the need of the hour, a lot of research on areas where Artificial Intelligence, can further be used, needs to be encouraged. So, it can be concluded that there is a bit of AI in every body’s life. Smart HR supports HR managers in performing all the HR functions as it involves creating, analyzing and storing large amount of data related to different services. It aids in analyzing the employees’ problems using the data. The present research paper explores the existing literature on Artificial intelligence, Smart HR and Industry 4.0, and its need in changing business environment.
Article Details
Unique Paper ID: 154174

Publication Volume & Issue: Volume 8, Issue 7

Page(s): 55 - 58
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