Integrating Artificial Intelligence in Business Analytics: Optimizing Performance and Efficiency

Authors

  • Joko Yuwono Universitas Jayabaya Author
  • Ida Faridah Universitas Jayabaya Author
  • Lutfhi Nur Fahri Universitas Jayabaya Author

Keywords:

Business Analytics, Performance Optimization, Efficiency, Deci-sion-Making

Abstract

In recent years, the integration of Artificial Intelligence (AI) in business analytics has emerged as a powerful tool for optimizing performance and enhancing operational efficiency. This research explores the application of AI in business analytics, focusing on how AI-driven solutions can improve decision-making, streamline processes, and increase overall productivity. The study employs a qualitative approach, analyzing case studies from various industries to assess the impact of AI technologies on business outcomes. The findings suggest that AI integration enables businesses to predict trends, automate tasks, and extract valuable insights from large datasets, leading to improved strategic planning and resource management. Moreover, the use of AI facilitates more accurate forecasting, faster decision-making, and a more responsive approach to market changes. The implications of this research highlight the growing importance of AI in business analytics and its potential to drive innovation and competitive advantage in the modern business landscape.

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Published

2025-04-11