Abstract
This investigation looks at the intricate relationships between business intelligence (BI) analytics, digitalization, cutting-edge artificial intelligence (AI), and information system innovation, as well as how they affect local economic growth. The study emphasizes the transformative potential of AI as a powerful accelerator for regional growth by stimulating innovation, enhancing efficiency, and expediting decision-making processes. It does this by applying map analysis and spatial econometric model regression to a dataset covering Chinese regions from 2010 to 2022. The study highlights the critical need for the development of sophisticated digitalization frameworks and information systems to adapt to the ever-evolving dynamics of regional economies and advocates for the collabourative efforts of researchers and local governments in tailoring AI-driven solutions that cater to the unique demands of individual localities. Although the research highlights the initial benefits provided by BI analytics, it also strongly emphasizes the need for ongoing innovation to maintain long-term success, encouraging academics to improve and streamline current BI analytics programmes. The paper also highlights the crucial importance of computing sustainability, effective administration of massive datasets, seamless human-AI collabouration, geographic computing, and the ethical considerations connected with AI adoption. The study emphasizes the value of utilizing AI's revolutionary potential while proactively tackling the issues it presents by offering a series of doable recommendations for policymakers, practitioners, and researchers. In the end, this study makes a significant contribution to the body of knowledge already available about the role of AI in regional economic development, providing priceless insights for those involved in directing the course of regional economies.
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