ARTIFICIAL INTELLIGENCE AND MODERN DATABASE MANAGEMENT

The integration of Artificial Intelligence (AI) with Database Management Systems (DBMS) marks a pivotal advancement in the evolution of digital technologies. This convergence goes beyond a simple technical upgrade; it represents a transformative shift that fosters innovation, enhances operational efficiency, and fundamentally changes how data is utilized. As data volumes and
complexities continue to expand, the combination of AI and DBMS provides a robust framework for processing and analyzing large scale datasets with remarkable accuracy and speed, turning raw information into meaningful insights. This foreword introduces a comprehensive exploration of how AI technologies—such as machine learning, natural language processing, and predictive analytics—are increasingly embedded within modern database systems. By integrating these capabilities, traditional DBMS functions are significantly enhanced, improving the ways data is stored, retrieved, analyzed, and applied. This evolution not only boosts system performance but also enables more informed and intelligent decision-making across diverse sectors, including business, healthcare, finance, and beyond. As readers progress through this book, they will encounter practical applications, key challenges, and emerging trends that characterize this powerful integration. These discussions highlight how AI enabled DBMS solutions are transforming data management from a passive process into an active, intelligent system. Ultimately, this
work envisions a future in which data serves as a strategic resource, driving innovation and delivering impactful outcomes across all areas of application.

 – AUTHORS