In this instant New York Times Bestseller, Geoff Smart and Randy Street provide a simple, practical, and effective solution to what The Economist calls “the single biggest problem in business today”: unsuccessful hiring. The average hiring mistake costs a company $1.5 million or more a year and countless wasted hours. This statistic becomes even more startling when you consider that the typical hiring success rate of managers is only 50 percent. The silver lining is that “who” problems are easily preventable. Based on more than 1,300 hours of interviews with more than 20 billionaires and 300 CEOs, Who presents Smart and Street’s A Method for Hiring. Refined through the largest research study of its kind ever undertaken, the A Method stresses fundamental elements that anyone can implement–and it has a 90 percent success rate. Whether you’re a member of a board of directors looking for a new CEO, the owner of a small business searching for the right people to make your company grow, or a parent in need of a new babysitter, it’s all about Who. Inside you’ll learn how to • avoid common “voodoo hiring” methods • define the outcomes you seek • generate a flow of A Players to your team–by implementing the #1 tactic used by successful businesspeople • ask the right interview questions to dramatically improve your ability to quickly distinguish an A Player from a B or C candidate • attract the person you want to hire, by emphasizing the points the candidate cares about most In business, you are who you hire. In Who, Geoff Smart and Randy Street offer simple, easy-to-follow steps that will put the right people in place for optimal success.

Who benefits from smart technology? Whose interests are served when we trade our personal data for convenience and connectivity? Smart technology is everywhere: smart umbrellas that light up when rain is in the forecast; smart cars that relieve drivers of the drudgery of driving; smart toothbrushes that send your dental hygiene details to the cloud. Nothing is safe from smartification. In Too Smart, Jathan Sadowski looks at the proliferation of smart stuff in our lives and asks whether the tradeoff—exchanging our personal data for convenience and connectivity—is worth it. Who benefits from smart technology? Sadowski explains how data, once the purview of researchers and policy wonks, has become a form of capital. Smart technology, he argues, is driven by the dual imperatives of digital capitalism: extracting data from, and expanding control over, everything and everybody. He looks at three domains colonized by smart technologies' collection and control systems: the smart self, the smart home, and the smart city. The smart self involves more than self-tracking of steps walked and calories burned; it raises questions about what others do with our data and how they direct our behavior—whether or not we want them to. The smart home collects data about our habits that offer business a window into our domestic spaces. And the smart city, where these systems have space to grow, offers military-grade surveillance capabilities to local authorities. Technology gets smart from our data. We may enjoy the conveniences we get in return (the refrigerator says we're out of milk!), but, Sadowski argues, smart technology advances the interests of corporate technocratic power—and will continue to do so unless we demand oversight and ownership of our data.

From packing the right equipment to keeping enough gas in the tank to get home, every aspect of making a successful tour with a band is addressed in this comprehensive guide. More than 100 luminaries and leading organizations from the world of touring--among them Chris Connelly, Henry Rollins, the House of Blues, and the Vans Warped Tour, as well as club owners, tour managers, and even sex advisors--provide handy insider know-how along with insight on mistakes commonly made by novice bands. Chapters address the nitty-gritty of touring, with instructions on how to secure venues and publicity, how to stay healthy on the road, and how to keep the budget in the black. Loaded with hundreds of years' worth of collective hands-on experience from those steeped in the music business, this is a must-have resource for creating an unforgettable tour.

In Book Smart: How to Support Successful, Motivated Readers, the experience of reading together is used as a vehicle for discussing the varied yet interconnected language and literacy skills that jumpstart the career of a successful reader.

Written by the members of Mensa, here is a fascinating, enlightening program for strengthening the mind. Games, exercises, and mental fitness tests will help readers to open their minds and think smarter.

From Tokyo to Helsinki, Manhattan to Manila, Howard Rheingold takes us on a journey around the world for a preview of the next techno-cultural shift-a shift he predicts will be as dramatic as the widespread adoption of the PC in the 1980s and the Internet in the 1990s. The coming wave, says Rheingold, is the result of super-efficient mobile communications-cellular phones, personal digital assistants, and wireless-paging and Internet-access devices that will allow us to connect with anyone, anywhere, anytime. From the amusing ("Lovegetty" devices in Japan that light up when a person with the right date-potential characteristics appears in the vicinity) to the extraordinary (the overthrow of a repressive regime in the Philippines by political activists who mobilized by forwarding text messages via cell phones), Rheingold gives examples of the fundamentally new ways in which people are already engaging in group or collective action. He also considers the dark side of this phenomenon, such as the coordination of terrorist cells, threats to privacy, and the ability to incite violent behavior. Applying insights from sociology, artificial intelligence, engineering, and anthropology, Rheingold offers a penetrating perspective on the brave new convergence of pop culture, cutting-edge technology, and social activism. At the same time, he reminds us that, as with other technological revolutions, the real impact of mobile communications will come not from the technology itself but from how people use it, resist it, adapt to it, and ultimately use it to transform themselves, their communities, and their institutions.

Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.