As robots are increasingly integrated into modern society-on the battlefield and the road, in business, education, and health-Pulitzer-Prize-winning New York Times science writer John Markoff searches for an answer to one of the most important questions of our age: will these machines help us, or will they replace us? In the past decade alone, Google introduced us to driverless cars, Apple debuted a personal assistant that we keep in our pockets, and an Internet of Things connected the smaller tasks of everyday life to the farthest reaches of the internet. There is little doubt that robots are now an integral part of society, and cheap sensors and powerful computers will ensure that, in the coming years, these robots will soon act on their own. This new era offers the promise of immense computing power, but it also reframes a question first raised more than half a century ago, at the birth of the intelligent machine: Will we control these systems, or will they control us? In Machines of Loving Grace, New York Times reporter John Markoff, the first reporter to cover the World Wide Web, offers a sweeping history of the complicated and evolving relationship between humans and computers. Over the recent years, the pace of technological change has accelerated dramatically, reintroducing this difficult ethical quandary with newer and far weightier consequences. As Markoff chronicles the history of automation, from the birth of the artificial intelligence and intelligence augmentation communities in the 1950s, to the modern day brain trusts at Google and Apple in Silicon Valley, and on to the expanding tech corridor between Boston and New York, he traces the different ways developers have addressed this fundamental problem and urges them to carefully consider the consequences of their work. We are on the verge of a technological revolution, Markoff argues, and robots will profoundly transform the way our lives are organized. Developers must now draw a bright line between what is human and what is machine, or risk upsetting the delicate balance between them.
Now that consumer purchases with mobile phones are on the rise, how do you design a payment app that?s safe, easy to use, and compelling? With this practical book, interaction and product designer Skip Allums provides UX best practices and recommendations to help you create familiar, friendly, and trustworthy experiences. Consumers want mobile transactions to be as fast and reliable as cash or bank cards. This book shows designers, developers, and product managers?from startups to financial institutions?how to design mobile payments that not only safeguard identity and financial data, but also provide value-added features that exceed customer expectations. * Learn about the major mobile payment frameworks: NFC, cloud, and closed loop * Examine the pros and cons of Google Wallet, Isis, Square, PayPal, and other payment apps * Provide walkthroughs, demos, and easy registration to quickly gain a new user?s trust * Design efficient point-of-sale interactions, using NFC, QR, barcodes, or geolocation * Add peripheral services such as points, coupons and offers, and money management
We are living in strange times: the largest taxi company owns no vehicles and employs no drivers, software can quickly reach super-human performance at games whose rules and strategies it never learned and people can now execute complex financial transactions without banks, courts or trust. Digital disruptions stem from three main sources: the integration of minds and machines, of products and platforms, and of the core and the crowd. In all three cases, technological progress is shifting the balance by stressing the second element of the pair. A machine recently beat the worlds best mind at Go. Platforms built by Apple and Google outcompete excellent products by Nokia and Motorola. When the open innovation of the crowd goes head to head with corporate research and development labs, which make up the core, they often win. Machine, Platform, Crowd reveals how these digital technologies are transforming the ways in which companies perform.
How to make simple sense of complex statistics--from the author of Numbers Rule Your World We live in a world of Big Data--and it´s getting biggerevery day. Virtually every choice we make hinges on how someone generates data . . . and how someone else interprets it--whether we realize it or not. Where do you send your child for the best education?Big Data. Which airline should you choose to ensure a timely arrival? Big Data. Who will you vote for in the next election? Big Data. The problem is, the more data we have, the more difficult it is to interpret it. From world leaders to average citizens, everyone is prone to making critical decisions based on poor data interpretations. In Numbersense, expert statistician Kaiser Fungexplains when you should accept the conclusions of the Big Data ´´experts´´--and when you should say, ´´Wait . . . what?´´ He delves deeply into a wide range of topics, offering the answers to important questions, such as: * How does the college ranking system really work? * Can an obesity measure solve America´s biggest healthcare crisis? * Should you trust current unemployment data issued by the government? * How do you improve your fantasy sports team? * Should you worry about businesses that track your data? Don´t take for granted statements made in the media, by our leaders, or even by your best friend. We´re on information overload today, and there´s a lot of bad information out there. Numbersense gives you the insight into how BigData interpretation works--and how it too often doesn´t work. You won´t come away with the skills of a professional statistician. But you will have a keen understanding of the data traps even the best statisticians can fall into, and you´ll trust the mentalalarm that goes off in your head when something just doesn´t seem to add up. Praise for Numbersense ´´Numbersense correctly puts the emphasis not on the size of big data, but on the analysis of it. Lots of fun stories, plenty of lessons learned-in short, a great way to acquire your own sense of numbers!´´ Thomas H. Davenport, coauthor of Competing on Analytics and President´s Distinguished Professor of IT and Management, Babson College ´´Kaiser´s accessible business book will blow your mind like no other. You´ll be smarter, and you won´t even realize it. Buy. It. Now.´´ Avinash Kaushik, Digital Marketing Evangelist, Google, and author, Web Analytics 2.0 ´´Each story in Numbersense goes deep into what you have to think about before you trust the numbers. Kaiser Fung ably demonstrates that it takes skill and resourcefulness to make the numbers confess their meaning.´´ John Sall, Executive Vice President, SAS Institute ´´Kaiser Fung breaks the bad news-a ton more data is no panacea-but then has got your back, revealing the pitfalls of analysis with stimulating stories from the front lines of business, politics, health care, government, and education. The remedy isn´t an advanced degree, nor is it common sense. You need Numbersense.´´ Eric Siegel, founder, Predictive Analytics World, and author, Predictive Analytics ´´I laughed my way through this superb-useful-fun book and learned and relearned a lot. Highly recommended!´´ Tom Peters, author of In Search of Excellence
The Myth of Capitalism tells the story of how America has gone from an open, competitive marketplace to an economy where a few very powerful companies dominate key industries that affect our daily lives. Digital monopolies like Google, Facebook and Amazon act as gatekeepers to the digital world. Amazon is capturing almost all online shopping dollars. We have the illusion of choice, but for most critical decisions, we have only one or two companies, when it comes to high speed Internet, health insurance, medical care, mortgage title insurance, social networks, Internet searches, or even consumer goods like toothpaste. Every day, the average American transfers a little of their pay check to monopolists and oligopolists. The solution is vigorous anti-trust enforcement to return America to a period where competition created higher economic growth, more jobs, higher wages and a level playing field for all. The Myth of Capitalism is the story of industrial concentration, but it matters to everyone, because the stakes could not be higher. It tackles the big questions of: why is the US becoming a more unequal society, why is economic growth anemic despite trillions of dollars of federal debt and money printing, why the number of start-ups has declined, and why are workers losing out.