人工智能
生产力
计算机科学
分析
商业智能
机器学习
知识管理
工作(物理)
大数据
数据科学
工程类
数据挖掘
机械工程
宏观经济学
经济
作者
K. K. Ramachandran,A. Apsara Saleth Mary,Shibani Hawladar,D. Asokk,Bandi Bhaskar,Jayeshkumar Pitroda
标识
DOI:10.1016/j.matpr.2021.11.544
摘要
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.
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