Integrating AI-Powered Business Intelligence Frameworks for Competitive Advantage and Agile Management
DOI:
https://doi.org/10.63503/j.ijaimd.2025.178Keywords:
Business Intelligence (BI), Artificial Intelligence (AI), Agile Management, Competitive Advantage, Decision Support Systems, Predictive Analytics, Reinforcement LearningAbstract
The modern business environment, shaped by hypercompetitive and unprecedented market volatility, is no longer suitable for the traditional organizational decision-making approach. Conventional Business Intelligence (BI) systems, which are often very good at performing a historical analysis, cannot be predictive of the future most of the time, and are also not very efficient in handling the complexities of modern business operations. The future holds a lot of promise for the fusion of Artificial Intelligence (AI) and BI systems. This may allow the changing of the whole concept from one of reactive reporting with data support to a more proactive one by means of data-driven strategic management. The development of a systemic process that simultaneously makes the long-term competitive positioning stronger and provides operational agility in the short term remains a prevailing problem. This paper presents a new, combined AI-powered Business Intelligence (AI-BI) model for bridging the gap that has been holding back strategic planning and agile implementation. This relies on a two-model framework: one is an Explainable Predictive Model (EPM), which provides a transparent forecast, and the other is a Dynamic Strategy Model (DSM) designed to deliver an adaptive allocation of resources. The quantitative measurement of these models’ performance under various market conditions is done through a comprehensive simulation of a synthetic business dataset. The results show that the collaborative employment of explainable and dynamic models in one framework gives more possibilities than decision support and strategic insight as well as operational flexibility enhancement. The presented framework will enable organizations to systematically treat data as a dynamic resource, capable of providing them with a sustainable competitive advantage and ensuring that they remain agile in the ever-more-uncertain world.
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