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In an era of digital transformation and sustainability challenges, universities seek innovative approaches for institutional effectiveness while advancing environmental, social, and economic goals. Artificial intelligence (AI) optimizes decision-making, resource management, academic services, and strategic planning across higher education institutions. When integrated within an enterprise architecture framework, AI can support the alignment of technology, business processes, data, and organizational objectives, creating a more agile and sustainable university system. An AI-enabled enterprise architecture facilitates data-driven governance, operational efficiency, and continuous innovation, enabling universities to respond effectively to evolving needs. As higher education institutions navigate complex global challenges, the convergence of AI and enterprise architecture presents new paths towards sustainable and resilient universities. AI-Enabled Enterprise Architecture for Sustainable Universities explores how AI can be integrated into enterprise architecture frameworks to enhance governance, decision-making, operational efficiency, and digital transformation in higher education institutions. It examines the role of AI-enabled enterprise architecture in supporting sustainability goals, improving resource management, and fostering resilient, innovative, and future-ready universities. This book covers topics such as educational technology, ethics and law, and learning analytics, and is a useful resource for educators, engineers, business owners, academicians, researchers, and scientists.

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