Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning

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COMMUNICATION NETWORKS AND SERVICE MANAGEMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Discover the impact that new technologies are having on communication systems with this up-to-date and one-stop resource Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning delivers a comprehensive overview of the impact of artificial intelligence (AI) and machine learning (ML) on service and network management. Beginning with a fulsome description of ML and AI, the book moves on to discuss management models, architectures, and frameworks. The authors also explore how AI and ML can be used in service management functions like the generation of workload profiles, service provisioning, and more. The book includes a handpicked selection of applications and case studies, as well as a treatment of emerging technologies the authors predict could have a significant impact on network and service management in the future. Statistical analysis and data mining are also discussed, particularly with respect to how they allow for an improvement of the management and security of IT systems and networks. Readers will also enjoy topics like: A thorough introduction to network and service management, machine learning, and artificial intelligence An exploration of artificial intelligence and machine learning for management models, including autonomic management, policy-based management, intent based ­management, and network virtualization-based management Discussions of AI and ML for architectures and frameworks, including cloud ­systems, software defined networks, 5G and 6G networks, and Edge/Fog networks An examination of AI and ML for service management, including the automatic ­generation of workload profiles using unsupervised learning Perfect for information and communications technology educators, Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning will also earn a place in the libraries of engineers and professionals who seek a structured reference on how the emergence of artificial intelligence and machine learning techniques is affecting service and network management.

QUALITY PLANNING AND ASSURANCE Principles, Approaches, and Methods for Product and Service Development

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QUALITY PLANNING AND ASSURANCE Discover the most crucial aspects of quality systems planning critical to manufacturing and service success In Quality Planning and Assurance: Principles, Approaches, and Methods for Product and Service Development, accomplished engineer Dr. Herman Tang delivers an incisive presentation of the principles of quality systems planning. The book begins with an introduction to the meaning of the word “quality” before moving on to review the principles of quality strategy and policy management. The author then offers a detailed discussion of customer needs and the corresponding quality planning tasks in design phases, as well as a treatment of the design processes necessary to ensure product or service quality. Readers will enjoy explorations of advanced topics related to proactive approaches to quality management, like failure modes and effects analysis (FMEA). They???ll discover discussions of issues like supplier quality management and the key processes associated with quality planning and execution. The book also includes: A thorough introduction to quality planning, including definitions, discussions of quality system, and an overview of the planning process A comprehensive exploration of strategic planning development, including strategic management, risk management and analysis, and pull and push strategies Practical discussions of customer-centric planning, including customer-oriented design, quality function deployment, and affective engineering In-depth examinations of quality assurance by design, including the design review process, design verification and validation, and concurrent engineering Perfect for senior undergraduate and graduate students in technology and management programs, Quality Planning and Assurance will also earn a place in the libraries of managers and technical specialists in a wide range of fields, including quality management.