AI and Business Intelligence: Leveraging Data for Strategic Decision Making

Authors

  • Dr. Ingrid Müller Author

Keywords:

Artificial Intelligence (AI), Business Intelligence (BI), Data Analytics, Strategic Decision Making, Predictive Modeling

Abstract

In today's rapidly evolving business landscape, the integration of Artificial Intelligence (AI) and Business Intelligence (BI) has emerged as a pivotal strategy for organizations seeking to enhance their decision-making processes. This paper explores the synergistic relationship between AI technologies and BI frameworks, highlighting how the convergence of these fields empowers businesses to leverage data more effectively. By utilizing advanced analytics, machine learning algorithms, and predictive modeling, companies can extract actionable insights from vast datasets, enabling informed strategic decisions. The study examines various case studies across industries to illustrate the practical applications of AI-driven BI solutions, demonstrating significant improvements in operational efficiency, customer engagement, and competitive advantage. Furthermore, the paper discusses the challenges and ethical considerations associated with implementing AI in BI contexts, offering recommendations for businesses to navigate these complexities while maximizing the potential of data-driven strategies. Ultimately, this research underscores the importance of harnessing AI and BI to foster a culture of continuous improvement and innovation in the pursuit of sustainable business success.

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Published

2022-08-09

How to Cite

AI and Business Intelligence: Leveraging Data for Strategic Decision Making. (2022). International Journal of Unique and New Updates, ISSN: 3079-4722, 4(2), 33-39. https://ijunu.com/index.php/journal/article/view/36

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