Machine learning and role of artificial intelligence in optimizing work performance and employee behavior. (2022)

• Record Type: Journal Article
• Authors: Ramachandran, K.K.; Apsara Saleth Mary, A.; Hawladar, Shibani; Asokk, D.; Bhaskar, Bandi; Pitroda, J.R.
• Is Part Of: Materials today. Volume 51:Part 8(2022)
• Page Start: 2327
• Page End: 2331
• Publication Date: 2022
• Subjects: Artificial intelligence -- Machine learning -- Productivity -- Employee behaviour -- Automation; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2021.11.544
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: In today's business world, firms are using analytics to diving deeper into their data to improve productivity, acquire a competitive edge, and boost their bottom lines. That is why businesses are eager to integrate machine learning (ML) and artificial intelligence (AI) because they want a faster, more accurate result. In addition, machine learning and artificial intelligence improved productivity by reducing repetitive tasks. As a result, nearly every sector in the world intends to use artificial intelligence and ML. Artificial intelligence and ML have various roles in business, ranging from enhancing employee and customer interactions to discovering patterns in massive amounts of data to automating monotonous activities. The goal is to seize the opportunity that artificial intelligence provides in employee success and productivity. Implementing artificial intelligence and machine learning may be a vital tool for any company seeking quantitative help in their decision-making since it can analyze vast quantities of data and spit forth trend directions and actionable suggestions. AI helps employees and businesses to set and achieve better goals results. This paper highlights the impact of using artificial intelligence and ML to enhance employee behaviour and work outcome. This research also provides insights into artificial intelligence, which will usher in a new era in industry.