"AI & Big Data" is the essential guide to understanding how data-its management, processing, and analysis-forms the foundation of any modern artificial intelligence system. This book has been designed as a natural complement to the successful "AI Manager" and focuses exclusively on the role of data and Big Data in today's digital environments.

Throughout its chapters, the reader will find clear and structured explanations of the fundamentals of Big Data, its technologies, architectures, data flows, and its practical application in real-world projects. From distributed storage systems to predictive analytics models, including tools like Hadoop, Spark, NoSQL databases, and streaming architectures, this book provides a comprehensive and didactic overview of the data ecosystem in the age of AI.

Designed for both professionals who want to incorporate data-driven solutions into their processes and for students or self-learners seeking a solid foundation without unnecessary technical jargon, "AI & Big Data" offers rigorous, accessible, and directly applicable content. Each topic is developed with a practical and strategic focus, ideal for those managing or participating in digital transformation, automation, or artificial intelligence integration projects.

If you have already read "AI Manager", this book will help you complete the picture. If you are new to the series, it is an excellent gateway to discover how data governs the present and will shape the digital future.