Topics covered range from the difference between deductive and inductive reasoning, to a discussion of how to highlight the structure of information.

    The "Greatest Business Book of All Time" (Bloomsbury UK), In Search of Excellence has long been a must-have for the boardroom, business school, and bedside table.Based on a study of forty-three of America's best-run companies from a diverse array of business sectors, In Search of Excellence describes eight basic principles of management -- action-stimulating, people-oriented, profit-maximizing practices -- that made these organizations successful.This phenomenal bestseller features a new Authors' Note, and reintroduces these vital principles in an accessible and practical way for today's management reader.

    Deborah Tannen, the internationally-acclaimed expert on communication and author of the bestselling YOU JUST DON'T UNDERSTAND, will help you recognize your own conversational style and how it meshes or clashes with the styles of others. Entertaining and informative, everyone who speaks will want to read this gem.

    Why We Buy is based on hard data gleaned from thousands of hours of field research–in shopping malls, department stores, and supermarkets across America. With his team of sleuths tracking our every move, Paco Underhill lays bare the struggle among merchants, marketers, and increasingly knowledgeable consumers for control.

    . . or at least he wasn’t until these books came along. Made up of intensively edited speeches and interviews, they offer something not found anywhere else: pure Chomsky, with every dazzling idea and penetrating insight intact, delivered in clear, accessible, reader-friendly prose.Published as four short books in the famous Real Story series—What Uncle Sam Really Wants; The Prosperous Few and the Restless Many; Secrets, Lies and Democracy; and The Common Good—they’ve collectively sold almost 600,000 copies.And they continue to sell year after year after year because Chomsky’s ideas become, if anything, more relevant as time goes by. For example, twenty years ago he pointed out that “in 1970, about 90% of international capital was used for trade and long-term investment—more or less productive things—and 10% for speculation. By 1990, those figures had reversed.” As we know, speculation continued to increase exponentially. We’re paying the price now for not heeding him them.

    It is scary to face a wall of choices, knowing that no one is going to tell us whether or not we are making the right decision. There is no clearly delineated path or recipe for success. Even figuring out how and where to start can be a challenge. That is, until now.As executive director of the Stanford Technology Ventures Program, Tina Seelig guides her students as they make the difficult transition from the academic environment to the professional world, providing tangible skills and insights that will last a lifetime. Seelig is an entrepreneur, neuroscientist, and popular teacher, and in What I Wish I Knew When I Was 20 she shares with us what she offers her students—provocative stories, inspiring advice, and a big dose of humility and humor.These pages are filled with fascinating examples, from the classroom to the boardroom, of individuals defying expectations, challenging assumptions, and achieving amazing success. Seelig throws out the old rules and provides a new model for reaching our highest potential. We discover how to have a healthy disregard for the impossible, how to recover from failure, and how most problems are remarkable opportunities in disguise.What I Wish I Knew When I Was 20 is a much-needed book for everyone looking to make their mark on the world.

    But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.

    You must graduate from an elite college or business school. In fact, only 7 percent of the CEOs of today's companies went to a top school--and 8 percent didn't graduate from college at all. Never put a foot wrong. In fact, people who have become CEOs have on average had five to seven career setbacks on their way to the top.Drawing on the biggest dataset of CEOs in the world -- in-depth analysis of 2,600 leaders, drawn from a database of 17,000 CEOs, as well as 13,000 hours of interviews -- The CEO Next Door is crammed full of myth-busting and counter-intuitive insights in what it really takes to get ahead. Discover the way actual CEOs of top companies think and behave, and the kind of traits to develop if you want to make your ambitions a reality and take your career right to the top.