This book addresses the importance of cybersecurity controls in mitigating financial losses and reputational damage caused by cyber-attacks. The content spans a spectrum of topics, including advances in business intelligence, the role of artificial intelligence in various business applications, and the integration of intelligent systems across industry 5.0. Moreover, it delves into prescriptive, descriptive, and diagnostic analytics, exploring the frontiers of deep learning and cognitive computing. The book investigates cybersecurity implications for business intelligence, organizational risk management, and cyber policies. It explores the transformative potential of blockchain in enhancing cybersecurity across diverse sectors, including the challenges posed by emerging financial technologies.
Ideal for academics in information systems, cybersecurity, and organizational science, as well as government officials and organizations, this book serves as a vital resource for understanding the intricate relationship between business intelligence and cybersecurity. It is equally beneficial for students seeking insights into the security implications of digital transformation processes for achieving business continuity. Including case studies, research contributions, and empirical analyses makes this book an indispensable asset for university libraries.
Coverage:
The many academic areas covered in this publication include, but are not limited to:
•Artificial Intelligence Applications
•Blockchain Usage
•Business Intelligence
•Cognitive Computing
•Cyber Threats
•Cybersecurity Controls
•Data Mining in Industry
•Deep Learning
•Digital Transformation
•Emerging Financial Technologies
•Industrial Organizations
•Intelligent Systems
•Organizational Risk Management
•Prescriptive Analytics
•Smart Cities
Ideal for academics in information systems, cybersecurity, and organizational science, as well as government officials and organizations, this book serves as a vital resource for understanding the intricate relationship between business intelligence and cybersecurity. It is equally beneficial for students seeking insights into the security implications of digital transformation processes for achieving business continuity. Including case studies, research contributions, and empirical analyses makes this book an indispensable asset for university libraries.
Coverage:
The many academic areas covered in this publication include, but are not limited to:
•Artificial Intelligence Applications
•Blockchain Usage
•Business Intelligence
•Cognitive Computing
•Cyber Threats
•Cybersecurity Controls
•Data Mining in Industry
•Deep Learning
•Digital Transformation
•Emerging Financial Technologies
•Industrial Organizations
•Intelligent Systems
•Organizational Risk Management
•Prescriptive Analytics
•Smart Cities