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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This book gives a complete view of how AI is evolving to turn cloud computing and automation on their head. Moving on, it covers cloud fundamentals including architecture, service models (IaaS, PaaS, SaaS), and deployment strategies (public, private, hybrid, and multi cloud). AI is integrated in the cloud which includes AIaaS, machine learning, NLP, and data processing. Such tools as DevOps, Infrastructure as Code (IaC), and AI driven automation tools such as predictive maintenance and chatbots are studied. Scale and SCALABILITY, resource optimization and cost management are discussed as much as security, compliance, and cloud-native security frameworks. The applications of this work are healthcare, finance, smart cities, retail and manufacturing. The book also discusses possible future trends like decentralized cloud systems, green computing, and ethical adoption of AI. Addressed to IT professionals, business leaders, and researchers, it presents tactics for using AI-driven cloud technologies of efficiency and innovation.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This book gives a complete view of how AI is evolving to turn cloud computing and automation on their head. Moving on, it covers cloud fundamentals including architecture, service models (IaaS, PaaS, SaaS), and deployment strategies (public, private, hybrid, and multi cloud). AI is integrated in the cloud which includes AIaaS, machine learning, NLP, and data processing. Such tools as DevOps, Infrastructure as Code (IaC), and AI driven automation tools such as predictive maintenance and chatbots are studied. Scale and SCALABILITY, resource optimization and cost management are discussed as much as security, compliance, and cloud-native security frameworks. The applications of this work are healthcare, finance, smart cities, retail and manufacturing. The book also discusses possible future trends like decentralized cloud systems, green computing, and ethical adoption of AI. Addressed to IT professionals, business leaders, and researchers, it presents tactics for using AI-driven cloud technologies of efficiency and innovation.