This book provides a clear and accessible introduction to the foundations of artificial intelligence (AI) in business, with minimal technical jargon. When specialized terms are necessary, they are carefully explained in straightforward language that managers, business students, and professionals can readily understand. To support active learning, the book incorporates a variety of pedagogical tools: Multiple-choice questions embedded throughout each chapter to help readers test and reinforce their grasp of key concepts as they progress. Discussion questions featuring debate topics that encourage deeper critical thinking and exploration of the material. Hands-on exercises that connect theoretical concepts directly to real-world business operations and decision-making. Through this balanced approach, readers gain a solid understanding of essential AI concepts and learn how to apply them effectively in professional settings. Major topics covered include: The AI Revolution in Business, Fundamentals of Data, Leveraging Data in Business, Applied Artificial Intelligence Concepts, Machine Learning, Neural Networks and Deep Learning, Understanding Large Language Models, AI Agents and Agentic AI, AI and the Internet of Things, AI and Blockchain, AI Ethics, Fairness, and Trust, and AI Strategy, Security, and Privacy. This structure equips readers with both foundational knowledge and practical insights to navigate and lead in an increasingly AI-driven business landscape.