A Comprehensive Guide to Understanding Artificial Intelligence
The AI Primer is a clear, non-technical guide for leaders, consultants, and professionals who need to understand artificial intelligence well enough to make informed decisions—without becoming engineers. It explains what AI actually is (and is not), how it has evolved, and the core concepts behind modern systems, using plain language rather than mathematics or code. The Primer demystifies algorithms, data, hardware, and infrastructure, helping readers understand the real constraints and trade-offs that shape what AI can deliver in practice.
Designed for real-world application, the book walks through how modern AI systems—especially generative AI and large language models—are built conceptually, deployed in organizations, and operated over time. It covers enterprise use cases, retrieval and knowledge systems, AI agents, governance, safety, law, and economics, alongside the organizational and workforce implications of adoption. With sections on evaluating AI claims, global AI competition, and long-term debates about AGI, the Primer equips readers with a balanced mental model to cut through hype, ask better questions, and engage confidently in AI-related strategy and execution.
