Leveraging Artificial Time Management for Enhanced Enterprise Efficiency

Authors

  • Juraev Jonibek Sherali ogli Student of Bukhara Engineering and Technology Institute

Keywords:

Artificial time management, Efficiency, Enterprise, Technology integration, Artificial intelligence, Machine learning, Data analytics, Productivity, Resource optimization, Strategic decision-making, Privacy concerns, Resistance to change, Organizational efficiency, Workflow optimization, Innovation

Abstract

This article explores the concept of artificial time management and its potential to enhance efficiency within enterprises. It discusses how artificial time management integrates advanced technologies like artificial intelligence, machine learning, and data analytics to streamline traditional time management practices. The article highlights the benefits of artificial time management, including enhanced productivity, resource optimization, and strategic decision-making. It also addresses challenges such as privacy concerns and resistance to change. Overall, the article presents artificial time management as a transformative approach to leveraging technology for improved organizational efficiency.

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Published

2024-05-14

How to Cite

Juraev Jonibek Sherali ogli. (2024). Leveraging Artificial Time Management for Enhanced Enterprise Efficiency. Web of Semantics : Journal of Interdisciplinary Science, 2(5), 275–279. Retrieved from https://web.semanticjournals.org/index.php/wos/article/view/295

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