Viktor Mayer-Schönberger

Markets have long been acknowledged to be a superior mechanism for managing resources but until the advent of big data, they largely functioned better in theory than in practice. Now, as ideal markets are within reach because of vastly greater access to information, we are on the verge of a major disruption. As data becomes a more valuable asset than cash, the rules for surviving and thriving are changing.Reinventing Capitalism is a provocative look at how data is reinventing markets and, in so doing, is ushering in an era where the firm is no longer predominant. With richer and more comprehensive information about human wants and needs, an economy powered by data offers the possibility of increased abundance, equality, and resilience. The data-driven markets that will thrive in this environment are far better than firms at organizing human endeavors, meaning that finance driven capitalism is being displaced by its more efficient, moresustainable, and more democratic disruptor: data capitalism.

La economía no volverá a ser como antesBlaBlaCar, Amazon, Uber, eBay, Airbnb... Las nuevas empresas solo manejan datos (sobre el producto, los usuarios, los vendedores) y de ese modo han cambiado nuestra forma de ver el transporte, el alojamiento, la comida o el consumo en general. En definitiva, han transformado el mercado. No es el dinero lo que las hace tan potentes, sino la explotacion a nivel masivo de grandes cantidades de datos. Aplicados a otros sectores como el mercado laboral, las finanzas o la sanidad podrian provocar cambios de enorme calado en la sociedad. La digitalizacion del trabajo, la renta basica, la libertad de eleccion... son algunos de los retos que ya han surgido y suscitan dudas: ¿que papel tenemos en un mundo dominado por algoritmos? Este provocador ensayo plantea que el big data podria potenciar la riqueza, la equidad y la resiliencia en la economia, pero para ello habra que conocer las nuevas reglas del capitalismo de datos.

New and expanded edition.An International Bestseller - Over One Million Copies Sold!Shortlisted for the Financial Times/Goldman Sachs Business Book of the Year Award.Since Aristotle, we have fought to understand the causes behind everything. But this ideology is fading. In the age of big data, we can crunch an incomprehensible amount of information, providing us with invaluable insights about the what rather than the why.Were just starting to reap the benefits: tracking vital signs to foresee deadly infections, predicting building fires, anticipating the best moment to buy a plane ticket, seeing inflation in real time and monitoring social media in order to identify trends. But there is a dark side to big data. Will it be machines, rather than people, that make the decisions? How do you regulate an algorithm? What will happen to privacy? Will individuals be punished for acts they have yet to commit? In this groundbreaking and fascinating book, two of the worlds most-respected data experts reveal the reality of a big data world and outline clear and actionable steps that will equip the reader with the tools needed for this next phase of human evolution.

La economía no volverá a ser como antes.BlaBlaCar, Amazon, Uber, eBay, Airbnb... Las nuevas empresas solo manejan datos (sobre el producto, los usuarios, los vendedores) y de ese modo han cambiado nuestra forma de ver el transporte, el alojamiento, la comida o el consumo en general. En definitiva, han transformado el mercado. No es el dinero lo que las hace tan potentes, sino la explotacion a nivel masivo de grandes cantidades de datos. Aplicados a otros sectores como el mercado laboral, las finanzas o la sanidad podrian provocar cambios de enorme calado en la sociedad. La digitalizacion del trabajo, la renta basica, la libertad de eleccion... son algunos de los retos que ya han surgido y suscitan dudas: ¿que papel tenemos en un mundo dominado por algoritmos? Este provocador ensayo plantea que el big data podria potenciar la riqueza, la equidad y la resiliencia en la economia, pero para ello habra que conocer las nuevas reglas del capitalismo de datos.

A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large.Which paint color is most likely to tell you that a used car is in good shape? How can officials identify the most dangerous New York City manholes before they explode? And how did Google searches predict the spread of the H1N1 flu outbreak?The key to answering these questions, and many more, is big data. Big data refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomenafrom the price of airline tickets to the text of millions of booksinto searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we havent even done yet, based on big datas ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.comIn this essential guide, two leading experts explore the frontiers of the data revolution, revealing:The Shift from Causality to Correlation: Why the obsession with finding out why is giving way to the practical power of knowing whatand how its changing science, business, and decision-making. Data Mining in Action: From Google predicting flu outbreaks to officials identifying dangerous manholes before they explode, see how powerful algorithms are already shaping our world. The Dark Side of Data: An unflinching look at the new threats big data poses, from the end of privacy to the chilling prospect of being penalized for things you havent even done yet. The Future of Business and Society: A clear-eyed look at how this revolution will transform the economy, health, politics, and innovation for years to come.

Homework assignments that learn from students. Courses tailored to fit individual pupils. Textbooks that talk back. This is tomorrows education landscape, thanks to the power of big data. These advances go beyond online courses. As the New York Times-bestselling authors of Big Data explain, the truly fascinating changes are actually occurring in how we measure students progress and how we can use that data to improve education for everyone, in real time, both on- and offline. Learning with Big Data offers an eye-opening, insight-packed tour through these new trends, for educators, administrators, and readers interested in the latest developments in business and technology.This essential guide from the authors of Big Data reveals whats next for the classroom:Personalized Learning: Move beyond the one-size-fits-all model to a one-size-fits-one approach, where course materials are algorithmically tailored to individual student needs. Data-Driven Feedback: Discover how e-textbooks that talk back and real-time analytics provide unprecedented insight into how students truly learn, helping teachers improve their methods instantly. The Future of Teaching: See how technology means more than just online coursesit means a fundamental shift that turns schools into data platforms and redefines the role of educators. Big Datas Dark Side: Confront the serious risks of data permanence and probabilistic predictions, exploring how our childrens futures could be limited by the very systems designed to help them.

Hay algo que la inteligencia artificial no puede conseguir: la capacidad humana para formular nuevas preguntas y analizarlas con otro marco de referencia. Los marcos son modelos mentales del mundo que utilizamos para entender los problemas mas dificiles