Connected Intelligence: Transforming Education and Energy with Big Data, Cloud Connectors, and Artificial Intelligence
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https://doi.org/10.70593/978-93-49307-42-1
Keywords:
Artificial Intelligence, Education, Renewable Energy, Big Data Analytics, Cloud Computing, Machine Learning, Internet of Things (IoT)Synopsis
In an increasingly interconnected world, the fusion of Big Data, Cloud Computing, and Artificial Intelligence (AI) is reshaping how we learn, teach, and power our societies. Connected Intelligence: Transforming Education and Energy with Big Data, Cloud Connectors, and AI explores the transformative impact of these technologies on two of the most critical sectors of our time—education and energy. The digital revolution has already laid the groundwork, but it is the intelligent connection of systems, platforms, and data streams that is enabling smarter, faster, and more adaptive decision-making. In education, AI-driven analytics and cloud-connected platforms are personalizing learning experiences, enabling remote instruction at scale, and providing educators with real-time insights into student progress. In the energy sector, intelligent grids, predictive maintenance, and data-driven optimization are increasing efficiency, reducing waste, and accelerating the shift toward sustainable, renewable sources.
This book provides a comprehensive overview of how connected intelligence is driving innovation across these domains. We examine real-world case studies, emerging technologies, and the evolving ecosystems that support this transformation. Our goal is to bridge the gap between technical innovation and practical application—highlighting both the opportunities and the challenges that come with rapid digital integration. Whether you're a policymaker shaping the future of smart infrastructure, a technologist building the next generation of intelligent systems, or a leader in education or energy looking to adapt and thrive, this book offers actionable insights and forward-thinking perspectives.
At the core of connected intelligence lies the promise of a more efficient, equitable, and sustainable future—one where data doesn't just inform decisions but enables meaningful change. As we stand on the brink of this next digital evolution, Connected Intelligence invites you to explore how technology, when thoughtfully applied, can power progress across every classroom and every grid.
Chapters
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Understanding the convergence of artificial intelligence, big data, and cloud technologies in shaping the future of education and energy systems
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Leveraging connected intelligence to enable smarter decision-making across educational institutions and renewable energy infrastructures
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Building data-driven educational models through the integration of machine learning and predictive analytics for improved student and institutional outcomes
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Designing scalable IT frameworks using cloud connectors to achieve seamless integration between learning platforms and energy management systems
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Applying big data analytics to enhance curriculum development, administrative efficiency, and sustainable resource planning in education
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Exploring the role of artificial intelligence in driving automation and innovation in smart energy and smart campus ecosystems
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Creating interconnected digital environments that support real-time insights, adaptive learning, and energy optimization through intelligent infrastructure
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Developing comprehensive data architectures for educational institutions to ensure consistency, accuracy, and accessibility across platforms
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Implementing secure and compliant artificial intelligence-driven solutions that address privacy, ethical concerns, and data governance in modern learning environments
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Transforming traditional educational delivery methods through the deployment of intelligent cloud systems and data-enhanced instructional tools
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Enhancing energy efficiency and sustainability in educational institutions through the use of smart grids, IoT, and artificial intelligence-enabled monitoring systems
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Envisioning the future of education and energy through connected intelligence, cross-sector collaboration, and technological foresight
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Published
13 April 2025
Categories
Copyright (c) 2025 Venkata Narasareddy Annapareddy
Details about the available publication format: E-Book
E-Book
ISBN-13 (15)
978-93-49307-42-1
Details about the available publication format: Book (Paperback)
Book (Paperback)
ISBN-13 (15)
978-93-49307-34-6
How to Cite
Annapareddy, V. N. . (2025). Connected Intelligence: Transforming Education and Energy with Big Data, Cloud Connectors, and Artificial Intelligence. Deep Science Publishing. https://doi.org/10.70593/978-93-49307-42-1
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