Buch, Englisch, 406 Seiten, Format (B × H): 155 mm x 235 mm
Buch, Englisch, 406 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Signals and Communication Technology
ISBN: 978-3-032-02704-7
Verlag: Springer Nature Switzerland AG
The book delves into how edge AI, combined with technologies like 6G, is transforming industries by enabling decentralized decision-making and faster responses to data-intensive tasks. The book discusses how AI-driven cybersecurity tools are being developed to detect, mitigate, and prevent cyberattacks, ensuring that systems remain resilient in the face of evolving threats. The book also addresses the ethical implications of AI and big data, particularly as these technologies become more pervasive. Issues such as data privacy and the societal impacts of automation are explored in detail. Finally, the book covers the advancements in AI-enabled and autonomous systems, which are playing an increasingly vital role in sectors such as manufacturing, healthcare, and transportation. By covering the latest innovations, the book enables researchers, students, and professionals to explore emerging technologies and apply them to solve complex problems across industries.
- Discusses the integration of intelligent technologies across industries, including AI, big data, and advanced networking;
- Presents challenges associated with the rapid deployment of these technologies, particularly in cybersecurity;
- Addresses ethical implications of AI and big data, particularly as these technologies become more pervasive.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
Weitere Infos & Material
Introduction.- Section I — Introduction to Intelligent Transformative Technologies.- Overview of AI, Big Data, and Networking Technologies.- Section II — AI Architectures and Intelligent Systems for Industry Transformation.- AI-Driven Decision-Making in Business and Industry.- Architectures for Intelligent Systems and Data Management.- Section III — Big Data Analytics and Real-Time Insights.- Foundations and Applications of Big Data Analytics.- Big Data Architectures in Industrial Systems.- Section IV — Edge Computing and Intelligent IoT Networks.- The Synergy Between Edge Computing and AI.- Real-Time AI in Edge Computing and 6G Networks.- Section V — Blockchain and AI Integration for Enhanced Security.- Blockchain Fundamentals and AI Use Cases.- AI-Driven Fraud Detection and Trust Systems.- Section VI — AI Applications in Healthcare and Personalized Medicine.- AI in Predictive Diagnostics and Patient Care.- Big Data and AI for Healthcare Systems.- Section VII — 6G Networks and Smart Cities: The Role of AI.- 6G Networks for AI-Driven Smart Cities.- AI and IoT Integration in Smart Cities.- Section VIII — Ethical and Societal Implications of AI, Big Data, and Networking.- Addressing Data Privacy.- Societal Impact and Regulatory Frameworks.- Section IX — AI-Enabled and Autonomous Systems.- AI-Driven Systems in Industry 4.0.- Autonomous Vehicles and AI in Transportation.- Section X — Emerging Topics and Underexplored Areas.- AI in Environmental Monitoring and Sustainability.- Section XI - The Future of Intelligent Transformative Technologies.- Emerging Trends and Research Directions.- Conclusion.




