International Scientific Journal of Engineering and Management

An International Scholarly || Multidisciplinary || Open Access || Indexing in all major Database & Metadata
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ISSN: 2583-6129

Impact Factor: 8.072

HR Analytics and AI Adoption in the IT Sector: Reflections from Practitioner

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Manuscript Title

HR Analytics and AI Adoption in the IT Sector: Reflections from Practitioner

 

 

AUTHOR 1 : Dr. N. SUREKHA

Academic Consultant

School of commerce and Management, Dravidian University

Kuppam, Chittoor District, Andhra Pradesh, India.

Mail id : n.surekha2009@gmail.com

 

 

AUTHOR 2 : R.SWARNA DEVA KUMARI

Academic consultant

School of commerce and management , Dravidian University

Kuppam, Chittoor District, Andhra Pradesh, India.

Mail id : swarna1985@gmail.com

 

 

Abstract

In recent years, IT companies across the globe are now tapping into the realm of HR analytics. These organizations are now relying heavily on HR data to inform organizational and HR decisions through the aid of HR analytics. While there are a lot of advantages for companies, when implementing HR analytics and AI, there are also many challenges. An important challenge is data privacy and ethics. Companies collect a lot of information from employees. Therefore, they have to make sure that they are using this information in the right way. This means that they have to be transparent about the information that they are collecting and they have to be compliant with all the laws and regulations that apply to this. Also, the algorithms that AI systems use for decision-making, can contain bias. If the data that the algorithms are based on, already contains bias, then this bias will also be included in the decisions that the AI system makes. This can lead to discrimination in hiring practices or promotion practices, for example. Therefore, companies have to make sure that they are using HR analytics and AI in an ethical way and that they are doing their best to avoid any kind of bias. However, to be able to utilize the power of HR analytics and AI effectively, there is also a need for a change in organizational culture and mindset. The data that is being analyzed in order to make decisions in HR will require many professionals to develop new skills. They will need to be able to interpret data and use it in order to make decisions in HR. In order to be able to implement these changes, organizations will need to provide training and development opportunities in order to upskill their HR employees. A powerful AI platform can help analyze organizational and individual skill development requirements. With this information, organizations can deliver relevant learning and development opportunities. Also, employees can receive individual feedback to help them improve their performance at work. This can lead to significant gains in terms of retention, improved productivity, and better employee experience. Of course, there are some challenges (data protection, bias, ethics, cultural change) but they can be overcome. It will allow companies to work with an agile, flexible and efficient workforce, and to continue to develop in the rapidly changing market and economy.

Key words : HR analytics, Artificial Intelligence, Information Technology, Data Protection.

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