The book provides a theoretically and empirically grounded discussion how to design and use business intelligence (BI) and Big Data (BD) to benefit organizations. It examines the conceptualization of BI and BD, applications of BI and BD, BI and BD maturity, and factors of BI- and BD-based success, as well as presents an application framework.

Cloud Security: Concepts, Applications and Perspectives discusses the state-of-the-art techniques and methodologies, and covers wide range of examples and illustrations to effectively show the principles, algorithms, applications and practices of security in cloud computing.

This book provides a concise yet comprehensive overview of computer and Internet security, suitable for a one-term introductory course for junior/senior undergrad or first-year graduate students.

This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advance techniques like wearable technologies, image processing in the sector. It focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects.

This book discusses the convergence of three powerful technologies that play into the digital revolution and blur the lines between biological, digital, and physical objects. This book covers novel algorithms, solutions for addressing issues in applications, security, authentication, and privacy.

With this practical guide, author Sev Leonard provides a holistic approach to designing scalable data pipelines in the cloud.

This book is a practical yet theoretically sound roadmap to leveraging data analytics and data science. The vast amount of data generated about us and our world is useless without plans and strategies to cope with its size and complexity, and which enable organisations to leverage the information to create value in marketing.