Nowadays, the role of artificial intelligence and language analysis in business is seen as a revolution that will change the world. It can be achieved by means of an integration strategy that makes a deep impact on the corporate culture, decision-making effectiveness, and other managerial processes. The aim of this research is to study the nature and role of the said integration in organizational success. With an extensive literature review and qualitative analysis, our methodology uncovers key ideas surrounding AI as well as linguistic analysis in a management application context. In particular, we present persuasive arguments that highlight the necessity to use AI-based data analytics, sentiment analytics, and predictive analytics for decision-making purposes. To develop this idea, the study accentuates the significance of AI-powered linguistic translation, speech recognition, and natural language generation to streamline the communication system within organizations. The conclusion underlines how AI can contribute to facilitating innovation, raising operational efficiency, and ensuring sustainable success in the modern digital era through its language analysis alliance.

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Unlocking the Power of AI and Linguistic Analysis: Revolutionizing Decision-Making and Communication in Management

  • Aref A. Murshed,
  • Ali Alrahamneh,
  • Alalddin Al-Tarawneh,
  • Mohammed Al-Badawi,
  • Al-Hareth Alhalalmeh

摘要

Nowadays, the role of artificial intelligence and language analysis in business is seen as a revolution that will change the world. It can be achieved by means of an integration strategy that makes a deep impact on the corporate culture, decision-making effectiveness, and other managerial processes. The aim of this research is to study the nature and role of the said integration in organizational success. With an extensive literature review and qualitative analysis, our methodology uncovers key ideas surrounding AI as well as linguistic analysis in a management application context. In particular, we present persuasive arguments that highlight the necessity to use AI-based data analytics, sentiment analytics, and predictive analytics for decision-making purposes. To develop this idea, the study accentuates the significance of AI-powered linguistic translation, speech recognition, and natural language generation to streamline the communication system within organizations. The conclusion underlines how AI can contribute to facilitating innovation, raising operational efficiency, and ensuring sustainable success in the modern digital era through its language analysis alliance.