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AI-Driven Territorial Intelligence: An Integrated Approach to Enhancing Digital Sovereignty

AI-Driven Territorial Intelligence: An Integrated Approach to Enhancing Digital Sovereignty
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Author(s): Badr Bentalha (National School of Business and Management, Sidi Mohammed Ben Abdellah University, Morocco)and Mohamed Boukare (Mohammed First University, Oujda, Morocco)
Copyright: 2024
Pages: 31
Source title: Generative AI and Implications for Ethics, Security, and Data Management
Source Author(s)/Editor(s): Jeganathan Gomathi Sankar (BSSS Institute of Advanced Studies, India)and Arokiaraj David (Al Tareeqah Management Studies, Swiss Business School, UAE)
DOI: 10.4018/979-8-3693-8557-9.ch008

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Abstract

Artificial intelligence (AI) and territorial intelligence (TI) are currently two key fields. AI enables the development of systems capable of performing tasks that generally require human intelligence, such as pattern recognition, classification, and prediction. Business intelligence applied to territories is at the heart of research into sustainable territorial development, as part of the paradigm of intelligent territories. So how can digital technology be used to develop territorial intelligence and help improve the digital sovereignty of regions? The study traces the many challenges posed by the application of AI and IT in real-life scenarios and identifies opportunities for combining the two fields via a hybrid approach aimed at decision-making in digital territorial management.

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