Artificial Intelligence in Business is transforming the way organizations operate—driving innovation, increasing efficiency, and enabling smarter, data-driven decision making. Yet for many professionals and students, the gap between complex technical concepts and practical business applications can feel overwhelming. This book bridges that gap with clarity, relevance, and purpose.
Designed for MBA students, business leaders, and aspiring AI practitioners, Artificial Intelligence in Business cuts through the hype to provide a grounded, accessible, and actionable guide to real world AI. From foundational principles like machine learning and deep learning to advanced applications in marketing, finance, supply chain, and HR, each chapter offers practical insights supported by real-world use cases and code implementations. Whether you're aiming to enhance customer engagement, streamline operations, or manage risk more effectively, this book equips you with the knowledge and tools to apply AI strategically in a business context.
What sets this book apart is its focus on delivering business value without sacrificing technical depth. It demystifies core technologies such as natural language processing (NLP), computer vision, and generative AI, while guiding readers through every stage of implementation—from assessing data readiness to deployment and ongoing monitoring. Ethical considerations and responsible AI practices are integrated throughout, ensuring readers understand not
only what AI can do, but also what it should do.
Artificial Intelligence in Business is your essential companion for navigating the AI-powered future—strategically, ethically, and with confidence.