Synopsis
From the earliest symbolic systems to the rise of neural networks and today's generative models, artificial intelligence has reshaped technology, business, and society. This book provides a comprehensive journey through the foundations of AI, the breakthroughs that power modern applications, and the challenges that lie ahead. Inside, readers will find not only a clear explanation of key concepts, such as supervised and unsupervised learning, reinforcement learning, and deep neural architectures, but also a detailed exploration of applied AI in various domains, including healthcare, finance, education, creativity, and autonomous systems. Beyond technical frameworks, the book addresses ethics, fairness, safety, privacy, and global regulation, areas that will define the responsible use of AI in the years to come. Through concrete examples, quantified results, and economic tradeoffs, this guide equips engineers, executives, and decision-makers with the knowledge to navigate AI's rapid evolution. Each chapter seamlessly blends rigorous detail with accessibility, ensuring that readers emerge with a grounded understanding of how AI works, where it is headed, and why it matters.
About the Author
Alex Barenboim has spent more than three decades shaping enterprise software for some of the world's largest companies, including IBM, ADT/Tyco, Verizon, Bankrate, and Svitla Systems, where he directed engineering organizations numbering in the thousands and delivered platforms with billions of dollars at stake and millions of visitors per month. With a Bachelor's in Computer Science from Boston University, a Master's in Computer Science and an MBA from the University of Oxford, his career bridges deep technical expertise with executive leadership. Mr. Barenboim's career path, from building IBM OS/2 device drivers to shaping AI-powered business platforms, reflects both technical depth and a passion for applying intelligence to real-world challenges. Beyond his executive roles, Mr. Barenboim is a frequent speaker and advisor on AI, cloud infrastructure, mobile app development, and nearshore/offshore/multishore engineering models. He is dedicated to making complex technologies understandable, actionable, and ethically aligned with human values. This book distills his experience and vision into a comprehensive guide for anyone seeking to understand artificial intelligence not only as a set of algorithms, but as a transformative force that will define the future of human-machine collaboration.
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