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

Nur Zincir-Heywood,Marco Mellia,Yixin Diao
Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning Book PDF

Author : Nur Zincir-Heywood,Marco Mellia,Yixin Diao
Publisher : John Wiley & Sons
Page : 402 pages
File Size : 54,8 Mb
Release : 2021-09-03
Category : Technology & Engineering
ISBN : 9781119675518

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Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning by Nur Zincir-Heywood,Marco Mellia,Yixin Diao Pdf

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.

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

Nur Zincir-Heywood,Marco Mellia,Yixin Diao
Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning Book PDF

Author : Nur Zincir-Heywood,Marco Mellia,Yixin Diao
Publisher : John Wiley & Sons
Page : 402 pages
File Size : 53,8 Mb
Release : 2021-10-12
Category : Technology & Engineering
ISBN : 9781119675501

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Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning by Nur Zincir-Heywood,Marco Mellia,Yixin Diao Pdf

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.

An Introduction to Machine Learning

Vineeta Shrivastava,Vaibhav Udgir,Dr. Gourav Shrivastava,Dr.Megha Kamble,Dr. Prashant Kumar Shrivastava
An Introduction to Machine Learning Book PDF

Author : Vineeta Shrivastava,Vaibhav Udgir,Dr. Gourav Shrivastava,Dr.Megha Kamble,Dr. Prashant Kumar Shrivastava
Publisher : Blue Rose Publishers
Page : 258 pages
File Size : 53,7 Mb
Release : 2023-02-06
Category : Computers
ISBN : 8210379456XXX

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An Introduction to Machine Learning by Vineeta Shrivastava,Vaibhav Udgir,Dr. Gourav Shrivastava,Dr.Megha Kamble,Dr. Prashant Kumar Shrivastava Pdf

The First Edition of the book ''An Introduction to Machine Learning'' combines theory and practice, explaining important methods such as classical linear and logistic regression, deep learning, and neural network with a detailed explanation, all variants of models, suitable examples, and Python code snippets.

Computational Intelligence in Recent Communication Networks

Mariya Ouaissa,Zakaria Boulouard,Mariyam Ouaissa,Bassma Guermah
Computational Intelligence in Recent Communication Networks Book PDF

Author : Mariya Ouaissa,Zakaria Boulouard,Mariyam Ouaissa,Bassma Guermah
Publisher : Springer Nature
Page : 279 pages
File Size : 52,8 Mb
Release : 2022-02-21
Category : Technology & Engineering
ISBN : 9783030771850

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Computational Intelligence in Recent Communication Networks by Mariya Ouaissa,Zakaria Boulouard,Mariyam Ouaissa,Bassma Guermah Pdf

This book focuses on the use of Artificial Intelligence and Machine Learning (AI/ML) based techniques to solve issues related to communication networks, their layers, as well as their applications. The book first offers an introduction to recent trends regarding communication networks. The authors then provide an overview of theoretical concepts of AI/ML, techniques and protocols used in different layers of communication. Furthermore, this book presents solutions that help analyze complex patterns in user data and ultimately improve productivity. Throughout, AI/ML-based solutions are provided, for topics such as signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The book features chapters from a large spectrum of authors including researchers, students, as well as industrials involved in research and development.

Artificial Intelligence in Healthcare

Anusha Kostka
Artificial Intelligence in Healthcare Book PDF

Author : Anusha Kostka
Publisher : OrangeBooks Publication
Page : 94 pages
File Size : 42,6 Mb
Release : 2024-05-19
Category : Education
ISBN : 8210379456XXX

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Artificial Intelligence in Healthcare by Anusha Kostka Pdf

"Artificial Intelligence in Healthcare: A Compilation of Case Studies" offers a comprehensive view of AI's transformative impact on healthcare. Delving into applications and challenges, the book showcases detailed case studies illuminating AI's role in diagnosis, treatment, prevention, and management. From early cancer detection to personalized medicine, each case study exemplifies AI's potential to improve patient outcomes. Ethical dilemmas and emerging trends in AI research are also explored, providing a holistic view of AI's future in healthcare. This book is an essential guide for researchers, healthcare professionals, and anyone intrigued by AI's potential to revolutionize healthcare delivery.

Artificial Intelligence

Harvard Business Review
Artificial Intelligence Book PDF

Author : Harvard Business Review
Publisher : HBR Insights
Page : 160 pages
File Size : 54,5 Mb
Release : 2019
Category : Business & Economics
ISBN : 1633697894

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Artificial Intelligence by Harvard Business Review Pdf

Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.

Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

Krishna Kant Singh,Akansha Singh,Korhan Cengiz,Dac-Nhuong Le
Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks Book PDF

Author : Krishna Kant Singh,Akansha Singh,Korhan Cengiz,Dac-Nhuong Le
Publisher : John Wiley & Sons
Page : 272 pages
File Size : 51,7 Mb
Release : 2020-07-08
Category : Computers
ISBN : 9781119640363

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Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks by Krishna Kant Singh,Akansha Singh,Korhan Cengiz,Dac-Nhuong Le Pdf

Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems.

Transforming Management Using Artificial Intelligence Techniques

Vikas Garg,Rashmi Agrawal
Transforming Management Using Artificial Intelligence Techniques Book PDF

Author : Vikas Garg,Rashmi Agrawal
Publisher : CRC Press
Page : 215 pages
File Size : 48,7 Mb
Release : 2020-11-09
Category : Computers
ISBN : 9781000209945

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Transforming Management Using Artificial Intelligence Techniques by Vikas Garg,Rashmi Agrawal Pdf

Transforming Management Using Artificial Intelligence Techniques redefines management practices using artificial intelligence (AI) by providing a new approach. It offers a detailed, well-illustrated treatment of each topic with examples and case studies, and brings the exciting field to life by presenting a substantial and robust introduction to AI in a clear and concise manner. It provides a deeper understanding of how the relevant aspects of AI impact each other’s efficacy for better output. It’s a reliable and accessible one-step resource that introduces AI; presents a full examination of applications; provides an understanding of the foundations; examines education powered by AI, entertainment, home and service robots, healthcare re-imagined, predictive policing, space exploration; and so much more, all within the realm of AI. This book will feature: Uncovering new and innovative features of AI and how it can help in raising economic efficiency at both micro- and macro levels Both the literature and practical aspects of AI and its uses This book summarizing key concepts at the end of each chapter to assist reader comprehension Case studies of tried and tested approaches to resolutions of typical problems Ideal for both teaching and general-knowledge purposes. This book will also simply provide the topic of AI for the readers, aspiring researchers and practitioners involved in management and computer science, so they can obtain a high-level of understanding of AI and managerial applications.

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

El Bachir Boukherouaa,Mr. Ghiath Shabsigh,Khaled AlAjmi,Jose Deodoro,Aquiles Farias,Ebru S Iskender,Mr. Alin T Mirestean,Rangachary Ravikumar
Powering the Digital Economy Opportunities and Risks of Artificial Intelligence in Finance Book PDF

Author : El Bachir Boukherouaa,Mr. Ghiath Shabsigh,Khaled AlAjmi,Jose Deodoro,Aquiles Farias,Ebru S Iskender,Mr. Alin T Mirestean,Rangachary Ravikumar
Publisher : International Monetary Fund
Page : 35 pages
File Size : 44,8 Mb
Release : 2021-10-22
Category : Business & Economics
ISBN : 9781589063952

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Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance by El Bachir Boukherouaa,Mr. Ghiath Shabsigh,Khaled AlAjmi,Jose Deodoro,Aquiles Farias,Ebru S Iskender,Mr. Alin T Mirestean,Rangachary Ravikumar Pdf

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Artificial Intelligence in Practice

Bernard Marr
Artificial Intelligence in Practice Book PDF

Author : Bernard Marr
Publisher : John Wiley & Sons
Page : 232 pages
File Size : 51,6 Mb
Release : 2019-04-15
Category : Business & Economics
ISBN : 9781119548980

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Artificial Intelligence in Practice by Bernard Marr Pdf

Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

Artificial Intelligence in Asset Management

Söhnke M. Bartram,Jürgen Branke,Mehrshad Motahari
Artificial Intelligence in Asset Management Book PDF

Author : Söhnke M. Bartram,Jürgen Branke,Mehrshad Motahari
Publisher : CFA Institute Research Foundation
Page : 95 pages
File Size : 51,7 Mb
Release : 2020-08-28
Category : Business & Economics
ISBN : 9781952927034

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Artificial Intelligence in Asset Management by Söhnke M. Bartram,Jürgen Branke,Mehrshad Motahari Pdf

Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.

Network Management and Control

I.T. Frisch,Manu Malek,S.S. Panwar
Network Management and Control Book PDF

Author : I.T. Frisch,Manu Malek,S.S. Panwar
Publisher : Springer Science & Business Media
Page : 503 pages
File Size : 46,7 Mb
Release : 2013-11-11
Category : Technology & Engineering
ISBN : 9781489912985

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Network Management and Control by I.T. Frisch,Manu Malek,S.S. Panwar Pdf

Three speakers at the Second Workshop on Network Management and Control nostalgically remembered the INTEROP Conference at which SNMP was able to interface even to CD players and toasters. We agreed this was indeed a major step forward in standards, but wondered if anyone noticed whether the toast was burned, let alone, would want to eat it. The assurance of the correct operation of practical systems under difficult environments emerged as the dominant theme of the workshop with growth, interoperability, performance, and scalability as the primary sub-themes. Perhaps this thrust is un surprising, since about half the 100 or so attendees were from industry, with a strong contingency of users. Indeed the technical program co-chairs, Shivendra Panwar of Polytechnic and Walter Johnston of NYNEX, took as their assignment the coverage of real problems and opportunities in industry. Nevertheless we take it as a real indication of progress in the field that the community is beginning to take for granted the availability of standards and even the ability to detect physical, link, and network-level faults and is now expecting diagnostics at higher levels as well as system-wide solutions.

Handbook of Research on Advances in Data Analytics and Complex Communication Networks

P. Venkata Krishna
Handbook of Research on Advances in Data Analytics and Complex Communication Networks Book PDF

Author : P. Venkata Krishna
Publisher : IGI Global
Page : 297 pages
File Size : 45,8 Mb
Release : 2021
Category : Computers
ISBN : 9781799876878

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Handbook of Research on Advances in Data Analytics and Complex Communication Networks by P. Venkata Krishna Pdf

"This edited book discusses data analytics and complex communication networks and recommends new methodologies, system architectures, and other solutions to prevail over the current limitations faced by the field"--

Artificial Intelligence to Solve Pervasive Internet of Things Issues

Gurjit Kaur,Pradeep Tomar,Marcus Tanque
Artificial Intelligence to Solve Pervasive Internet of Things Issues Book PDF

Author : Gurjit Kaur,Pradeep Tomar,Marcus Tanque
Publisher : Academic Press
Page : 428 pages
File Size : 48,9 Mb
Release : 2020-12-07
Category : Science
ISBN : 9780128185766

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Artificial Intelligence to Solve Pervasive Internet of Things Issues by Gurjit Kaur,Pradeep Tomar,Marcus Tanque Pdf

Artificial Intelligence to Solve Pervasive Internet of Things Issues discusses standards and technologies and wide-ranging technology areas and their applications and challenges, including discussions on architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. Chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability. The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others. Discusses intelligent techniques for the implementation of Artificial Intelligence in Internet of Things Prepared for researchers and specialists who are interested in the use and integration of IoT and Artificial Intelligence technologies

Challenges and Risks Involved in Deploying 6G and NextGen Networks

Bharathy, A.M. Viswa,Alhadidi, Basim
Challenges and Risks Involved in Deploying 6G and NextGen Networks Book PDF

Author : Bharathy, A.M. Viswa,Alhadidi, Basim
Publisher : IGI Global
Page : 258 pages
File Size : 44,6 Mb
Release : 2022-06-24
Category : Technology & Engineering
ISBN : 9781668438060

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Challenges and Risks Involved in Deploying 6G and NextGen Networks by Bharathy, A.M. Viswa,Alhadidi, Basim Pdf

There is a need to be aware of the challenges awaiting us in next generation (NextGen) networks in order to take the proper steps to either minimize or eliminate issues as they present themselves. Incorporating artificial intelligence in NextGen networks for privacy and security policies will serve this purpose. It is essential to stay current with these emerging technologies and applications in order to maintain safe and secure communications in the future. Challenges and Risks Involved in Deploying 6G and NextGen Networks explores strategies for the design and deployment of more secured and user-centered NextGen networks through artificial intelligence to enrich user experience. It further investigates the political, social, and geographical challenges involved in realizing these 6G networks and explores ways to improve the security of future potential applications as well as protect user data from illegal access. Covering topics such as deep learning algorithms, aerial network communication, and edge computing, this major reference work is an indispensable resource for regulatory and policy groups, associations and technology groups, government and international bodies, technology executives and technical institutions, management consulting and advisory firms, communication engineers, network engineers, students and educators of higher education, researchers, and academicians.