Database Management Using AI: A Comprehensive Guide is a professional yet accessible exploration of how artificial intelligence (AI) is reshaping the world of database management. Designed for database administrators, data scientists, and tech enthusiasts, this book walks readers through the transformative impact of AI on modern data systems. The guide begins with the fundamentals of database management, covering key concepts such as data models, SQL, and the principles of database design. From there, it delves into the powerful role AI plays in optimizing database performance, enhancing security, and automating complex tasks like data retrieval, query optimization, and schema design. The book doesn't stop at theory. It brings AI to life with practical case studies showing how AI-driven database systems are being used in industries such as e-commerce, healthcare, finance, and logistics. These real-world examples demonstrate AI's role in improving efficiency, reducing errors, and driving intelligent decision-making. Key topics covered include: Introduction to Database Systems: Fundamentals of database management, from relational databases to modern NoSQL systems. AI Integration: How AI enhances database performance, automates routine tasks, and strengthens security. Real-World Applications: Case studies from diverse sectors like healthcare, finance, and retail, showcasing the practical impact of AI in database management. Predictive Analytics and Data Mining: How AI tools leverage data to make accurate predictions and uncover trends. Future Trends: Explore cutting-edge innovations like autonomous databases and cloud-based AI solutions that are shaping the future of data management. With its clear explanations and actionable insights, Database Management Using AI equips readers with the knowledge to navigate the fast-evolving landscape of AI-powered databases, making it a must-have resource for those looking to stay ahead in the digital age.

The Comprehensive Guide to Databases offers an in-depth exploration into the dynamic world of database technology. This guide is designed for a wide audience, from beginners to seasoned professionals, aiming to enhance their understanding of database management. It covers the foundations of database technology, including relational databases, NoSQL solutions, and advanced topics such as distributed systems, big data analytics, and the role of AI and machine learning in database management. With detailed explanations of key concepts, practical applications, and real-world case studies, this book provides readers with the skills necessary to design, implement, and manage database systems effectively. The guide also looks toward the future of database technology, examining emerging trends like cloud databases, data security, and regulatory compliance, making it an essential resource for anyone looking to master the art of database management in the modern digital landscape.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

Giving comprehensive, soup-to-nuts coverage of database administration, this guide is written from a platform-independent viewpoint, emphasizing best practices.

"AI in Practice: A Comprehensive Guide to Leveraging Artificial Intelligence in Business" is a groundbreaking book that provides a comprehensive and practical exploration of the applications, strategies, and considerations involved in leveraging artificial intelligence (AI) in various business domains. Written for professionals, decision-makers, and enthusiasts alike, this book serves as a roadmap to help organizations harness the power of AI to drive innovation, improve efficiencies, and gain a competitive edge in the modern digital landscape.

This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

In an era where artificial intelligence reshapes every aspect of our lives, "AI Ethics Officer - The Comprehensive Guide" emerges as an indispensable manual for professionals aiming to pioneer ethical practices within the rapidly evolving tech landscape. This guide not only demystifies the complex ethical considerations surrounding AI but also equips readers with the practical skills and knowledge needed to implement and enforce ethical guidelines effectively. From unpacking the nuances of bias and privacy concerns to exploring the implications of AI in decision-making processes, this book is crafted to be your ally in fostering a culture of integrity and foresight in technology use. Notably, this guide stands out for its commitment to accessible and engaging content, deliberately excluding images and illustrations to focus purely on the power of its words and ideas, ensuring a seamless reading experience free from copyright distractions. As the digital age thrusts ethical considerations into the spotlight, this guide serves as a beacon for those tasked with navigating these uncharted waters. Whether you are an aspiring AI ethics officer, a policy maker, or simply an enthusiast of ethical technology, this book is tailored to provide you with a comprehensive understanding of the ethical landscape of AI. Through a blend of theoretical frameworks, real-world examples, and hypothetical scenarios, it invites readers to critically engage with the material, encouraging a deeper appreciation for the role of ethics in shaping the future of technology. Dive into "AI Ethics Officer - The Comprehensive Guide" and arm yourself with the insight and foresight needed to lead with integrity in the age of artificial intelligence.