Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: -What type of mortgage risk Chase Bank predicted before the recession. -Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. -Why early retirement decreases life expectancy and vegetarians miss fewer flights. -Five reasons why organizations predict death, including one health insurance company. -How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. -How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! -How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. -How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. -What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

    Its in-depth and balanced evaluation of more than fifty years of U.S. analysis includes a critique of why it has under-performed at times. It provides insights regarding the enduring obstacles as well as new challenges of analysis in the post-9/11 world, and suggests innovative ideas for improved analytical methods, training, and structured approaches. The book's six sections present a coherent plan for improving analysis. Early chapters examine how intelligence analysis has evolved since its origins in the mid-20th century, focusing on traditions, culture, successes, and failures.The middle sections examine how analysis supports the most senior national security and military policymakers and strategists, and how analysts must deal with the perennial challenges of collection, politicization, analytical bias, knowledge building and denial and deception. The final sections of the book propose new ways to address enduring issues in warning analysis, methodology (or 'analytical tradecraft') and emerging analytic issues like homeland defense. The book suggests new forms of analytic collaboration in a global intelligence environment, and imperatives for the development of a new profession of intelligence analysis. "Analyzing Intelligence" is written for the national security expert who needs to understand the role of intelligence and its strengths and weaknesses.Practicing and future analysts will also find that its attention to the enduring challenges provides useful lessons-learned to guide their own efforts. The innovations section will provoke senior intelligence managers to consider major changes in the way analysis is currently organized and conducted, and the way that analysts are trained and perform.

    Gray rhinos are not random surprises, but occur after a series of warnings and visible evidence. The bursting of the housing bubble in 2008, the devastating aftermath of Hurricane Katrina and other natural disasters, the new digital technologies that upended the media world, the fall of the Soviet Union...all were evident well in advance.Why do leaders and decision makers keep failing to address obvious dangers before they spiral out of control? Drawing on her extensive background in policy formation and crisis management, as well as in-depth interviews with leaders from around the world, Michele Wucker shows in The Gray Rhino how to recognize and strategically counter looming high impact threats. Filled with persuasive stories, real-world examples, and practical advice, The Gray Rhino is essential reading for managers, investors, planners, policy makers, and anyone who wants to understand how to profit by avoiding getting trampled.

    Dulles's The Craft of Intelligence. This classic of spycraft is based on Dulles's incomparable experience as a diplomat, international lawyer, and America's premier intelligence officer. Dulles was a high-ranking officer of the CIA's predecessor - the Office of Strategic Services - and served eight years as director of the newly created CIA.In The Craft of Intelligence, Dulles reveals how intelligence is collected and processed, and how the results contribute to the formation of national policy. He discusses methods of surveillance and the usefulness of defectors from hostile nations. His knowledge of Cold War Soviet espionage techniques is unrivaled, and he explains how the Soviet State Security Service recruited operatives and planted "illegals" in foreign countries. In an account enlivened with a wealth of personal anecdotes, Dulles also addresses the Bay of Pigs incident, denying that the 1961 invasion was based on a CIA estimate that a popular Cuban uprising would ensue. He spells out not only the techniques of modern espionage but also the philosophy and role of intelligence in a free society threatened by global conspiracies.This is a book for readers who seek wider understanding of the contribution of intelligence to our national security.

     The more tools you have at your disposal, the more likely you'll use the right tool for the job — and get it done right. The same is true when it comes to your thinking. The quality of your outcomes depends on the mental models in your head. And most people are going through life with little more than a hammer. Until now. The Great Mental Models: General Thinking Concepts is the first book in The Great Mental Models series designed to upgrade your thinking with the best, most useful and powerful tools so you always have the right one on hand. This volume details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making, productivity, and how clearly you see the world. You will discover what forces govern the universe and how to focus your efforts so you can harness them to your advantage, rather than fight with them or worse yet— ignore them. Upgrade your mental toolbox and get the first volume today!

    "An illuminating guide to the use and abuse of history in affairs of state".--Arthur Schlesinger.

    But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.

    government spends enormous resources each year on the gathering and analysis of intelligence, yet the history of American foreign policy is littered with missteps and misunderstandings that have resulted from intelligence failures. In Why Intelligence Fails, Robert Jervis examines the politics and psychology of two of the more spectacular intelligence failures in recent memory: the mistaken belief that the regime of the Shah in Iran was secure and stable in 1978, and the claim that Iraq had active WMD programs in 2002.The Iran case is based on a recently declassified report Jervis was commissioned to undertake by CIA thirty years ago and includes memoranda written by CIA officials in response to Jervis's findings. The Iraq case, also grounded in a review of the intelligence community's performance, is based on close readings of both classified and declassified documents, though Jervis's conclusions are entirely supported by evidence that has been declassified. In both cases, Jervis finds not only that intelligence was badly flawed but also that later explanations--analysts were bowing to political pressure and telling the White House what it wanted to hear or were willfully blind--were also incorrect. Proponents of these explanations claimed that initial errors were compounded by groupthink, lack of coordination within the government, and failure to share information. Policy prescriptions, including the recent establishment of a Director of National Intelligence, were supposed to remedy the situation.In Jervis's estimation, neither the explanations nor the prescriptions are adequate. The inferences that intelligence drew were actually quite plausible given the information available. Errors arose, he concludes, from insufficient attention to the ways in which information should be gathered and interpreted, a lack of self-awareness about the factors that led to the judgments, and an organizational culture that failed to probe for weaknesses and explore alternatives. Evaluating the inherent tensions between the methods and aims of intelligence personnel and policymakers from a unique insider's perspective, Jervis forcefully criticizes recent proposals for improving the performance of the intelligence community and discusses ways in which future analysis can be improved.

    It's not just a technical book or just a businessguide. Data is ubiquitous and it doesn't pay much attention toborders, so we've calibrated our coverage to follow it wherever itgoes.In the first edition of Big Data Now, the O'Reilly team tracked thebirth and early development of data tools and data science. Now, withthis second edition, we're seeing what happens when big data grows up:how it's being applied, where it's playing a role, and theconsequences -- good and bad alike -- of data's ascendance.We've organized the second edition of Big Data Now into five areas:Getting Up to Speed With Big Data -- Essential information on thestructures and definitions of big data.Big Data Tools, Techniques, and Strategies -- Expert guidance forturning big data theories into big data products.The Application of Big Data -- Examples of big data in action,including a look at the downside of data.What to Watch for in Big Data -- Thoughts on how big data will evolveand the role it will play across industries and domains.Big Data and Health Care -- A special section exploring thepossibilities that arise when data and health care come together.

    With boundless erudition and in delightfully clear prose, Surowiecki ranges across fields as diverse as popular culture, psychology, ant biology, behavioral economics, artificial intelligence, military history, and politics to show how this simple idea offers important lessons for how we live our lives, select our leaders, run our companies, and think about our world.

    Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality. Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data. Causal methods are also compared to traditional statistical methods, whilst questions are provided at the end of each section to aid student learning.

    So why do we know so little about how to get them right?Big, life-altering decisions matter so much more than the decisions we make every day, and they're also the most difficult: where to live, whom to marry, what to believe, whether to start a company, how to end a war. There's no one-size-fits-all approach for addressing these kinds of conundrums. Steven Johnson's classic Where Good Ideas Come From inspired creative people all over the world with new ways of thinking about innovation. In Farsighted, he uncovers powerful tools for honing the important skill of complex decision-making. While you can't model a once-in-a-lifetime choice, you can model the deliberative tactics of expert decision-makers. These experts aren't just the master strategists running major companies or negotiating high-level diplomacy. They're the novelists who draw out the complexity of their characters' inner lives, the city officials who secure long-term water supplies, and the scientists who reckon with future challenges most of us haven't even imagined. The smartest decision-makers don't go with their guts. Their success relies on having a future-oriented approach and the ability to consider all their options in a creative, productive way. Through compelling stories that reveal surprising insights, Johnson explains how we can most effectively approach the choices that can chart the course of a life, an organization, or a civilization. Farsighted will help you imagine your possible futures and appreciate the subtle intelligence of the choices that shaped our broader social history.

    The pass was intercepted and the Seahawks lost. Critics called it the dumbest play in history. But was the call really that bad? Or did Carroll actually make a great move that was ruined by bad luck?Even the best decision doesn't yield the best outcome every time. There's always an element of luck that you can't control, and there is always information that is hidden from view. So the key to long-term success (and avoiding worrying yourself to death) is to think in bets: How sure am I? What are the possible ways things could turn out? What decision has the highest odds of success? Did I land in the unlucky 10% on the strategy that works 90% of the time? Or is my success attributable to dumb luck rather than great decision making?Annie Duke, a former World Series of Poker champion turned business consultant, draws on examples from business, sports, politics, and (of course) poker to share tools anyone can use to embrace uncertainty and make better decisions. For most people, it's difficult to say "I'm not sure" in a world that values and, even, rewards the appearance of certainty. But professional poker players are comfortable with the fact that great decisions don't always lead to great outcomes and bad decisions don't always lead to bad outcomes.By shifting your thinking from a need for certainty to a goal of accurately assessing what you know and what you don't, you'll be less vulnerable to reactive emotions, knee-jerk biases, and destructive habits in your decision making. You'll become more confident, calm, compassionate and successful in the long run.

    Rather than believing they have to start with a big idea or plan a whole project out in advance, trying to foresee the final outcome, they make a series of little bets about what might be a good direction, learning from lots of little failures and from small but highly significant wins that allow them to happen upon unexpected avenues and arrive at extraordinary outcomes.           Based on deep and extensive research, including more than 200 interviews with leading innovators, Sims discovered that productive, creative thinkers and doers—from Ludwig van Beethoven to Thomas Edison and Amazon’s Jeff Bezos—practice a key set of simple but ingenious experimental methods—such as failing quickly to learn fast, tapping into the genius of play, and engaging in highly immersed observation—that free their minds, opening them up to making unexpected connections and perceiving invaluable insights. These methods also unshackle them from the constraints of overly analytical thinking and linear problem solving that our education places so much emphasis on, as well as from the fear of failure, all of which thwart so many of us in trying to be more innovative.               Reporting on a fascinating range of research, from the psychology of creative blocks to the influential Silicon Valley–based field of design thinking, Sims offers engaging and wonderfully illuminating accounts of breakthrough innovators at work, including how Hewlett-Packard stumbled onto the breakaway success of the first hand-held calculator; the remarkable storyboarding process at Pixar films that has been the key to their unbroken streak of box office successes; the playful discovery process by which Frank Gehry arrived at his critically acclaimed design for Disney Hall; the aha revelation that led Amazon to pursue its wildly successful affiliates program; and the U.S. Army’s ingenious approach to counterinsurgency operations that led to the dramatic turnaround in Iraq.               Fast paced and as entertaining as it is illuminating, Little Bets offers a whole new way of thinking about how to break away from the narrow strictures of the methods of analyzing and problem solving we were all taught in school and unleash our untapped creative powers.

    That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss aside our fears and learn to approach them clearly—understanding how our own preconceptions lead us astray—statistics can point to ways we can live better and work smarter.As “perhaps the best popular economics writer in the world” (New Statesman), Tim Harford is an expert at taking complicated ideas and untangling them for millions of readers. In The Data Detective, he uses new research in science and psychology to set out ten strategies for using statistics to erase our biases and replace them with new ideas that use virtues like patience, curiosity, and good sense to better understand ourselves and the world. As a result, The Data Detective is a big-idea book about statistics and human behavior that is fresh, unexpected, and insightful.