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  Published Paper Details:

  Paper Title

EFFECT OF RECOGNIZING TALENT BY USING ARTIFICIAL INTELLIGENCE IN IT SECTOR

  Authors

  Bhumika Bhatt

  Keywords

Artificial Intelligence, Factors, Machine Learning, Talent Management, HR

  Abstract


The need to recognize main talents in the business is well recognized in IT sectors of the economy. The purpose of the paper is, therefore, to identify the main factors contributing to the recognition and internalization of talent by competency modeling on the basis of an overview of competence. The paper describes areas of the required competencies for particular job positions in companies. Their targeting of employees and talent management teams is revealed by the use of artificial intelligence. The goal is to evaluate the primary survey performed by IT firms. Data were obtained through surveys conducted by a single employee representing their company. On the basis of statistical analyzes of the necessary competencies, five factors characterizing the field of the main employee and team growth have been identified. Such considerations include inclusive strategy, management support, strategic development, leadership growth and honesty. The resulting factors lead to the development of competency models that can be used in defined job positions using AI. The paper restrictions are specifically based on companies in the primary sector. The results can help surveyed companies in the primary sector to determine the required and appropriate competencies for specific areas to identify and grow staff, talents and teams.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2004376

  Paper ID - 193748

  Page Number(s) - 2671-2675

  Pubished in - Volume 8 | Issue 4 | April 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Bhumika Bhatt,   "EFFECT OF RECOGNIZING TALENT BY USING ARTIFICIAL INTELLIGENCE IN IT SECTOR", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 4, pp.2671-2675, April 2020, Available at :http://www.ijcrt.org/papers/IJCRT2004376.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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