This book is intended for business professionals that want to understand the fundamental concepts of Artificial Intelligence (AI), their applications and limitations. Built as a collaborative effort between academia and the industry, this book bridges the gap between theory and business application, demystifying AI through fundamental concepts and industry examples. The reader will find here an overview of the different AI techniques to search, plan, reason, learn, adapt, understand and interact. The book covers the two traditional paradigms in AI: the statistical and data-driven AI systems, which learn and perform by ingesting millions of data points into Machine Learning algorithms, and the consciously modelled AI systems, known as symbolic AI systems, which use explicit symbols to represent the world and make conclusions. Rather than opposing those two paradigms, the book will also show how those different fields can complement each other. Out of the different fields of AI, much of the attention over the last years has been focused on the field of Machine Learning (ML), its subfield artificial neural network with Deep Learning, and natural language processing (NLP).