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              <text>Jain, Rituraj; Upreti, Shitiz; Upreti, Kamal; Shanka, Uma; Radhakrishnan, G.V.; Tiwari, Akhilesh</text>
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              <text>Next-gen cloud intelligence: Cognitive computing for a sustainable digital future</text>
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              <text>Cognitive Cloud Computing: Building Intelligent Systems for Tomorrow;pp.46-69</text>
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              <text>Jain R., Department of Information Technology, Marwadi University, Rajkot, India; Upreti S., Manav Rachna International Institute of Research &amp;amp; Studies (MRIIRS), Haryana, Faridabad, India; Upreti K., School of Sciences, CHRIST University, Delhi NCR, India; Shanka U., Faculty of Management and Social Sciences, Qaiwan International University, Kurdistan, Sulaymaniyah, Iraq; Radhakrishnan G.V., Kalinga School of Management, Kalinga Institute of Industrial Technology, Bhubaneswar, India; Tiwari A., Department of Business and Management, CHRIST University, Delhi NCR, India</text>
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              <text>Cognitive cloud computing is an innovative paradigm that links intelligent systems with cloud infrastructure having distributed and scalable capabilities. Next-generation cloud intelligence is explored with regard to the foundational principles, enabling technologies, and emerging applications. It focuses on cognition cloud systems to maximize energy efficiency, improve predictive analytics, and encourage human-centric computing for various domains such as education, healthcare, finance, and environmental management, including sustainability. Some of the enabler technologies for AI are natural language processing, computer vision, and speech recognition, and the advancement of AI integration, neuromorphic computing, and quantum-enhanced models. The coming of bloc, edge, and the cognitive security mechanisms make it the basis for an invulnerable, transparent, and context-aware system. The chapter also explores green data centers, energy-efficient algorithms, and circular economy principles. The ethical development of cognitive cloud systems is critically analyzed, and data privacy, algorithmic bias, explainability, and regulatory frameworks are considered as challenges for their ethical development. In general, the contribution of this work is to provide a complete framework for the analysis of the impact that cognitive computing can have to make over cloud-based ecosystems as intelligent, adaptable, and eco-friendly platforms through the means of digital infrastructure and AI-driven services.  2026 selection and editorial matter, Jossy George, Kamal Upreti, Ramesh Chandra Poonia, Ankit Gautam, and Danish Nadeem; individual chapters, the contributors.</text>
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              <text>ISBN: 978-104054278-1; 978-103294165-3;</text>
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