We live in strange times. A machine plays the strategy game Go better than any human; upstarts like Apple and Google destroy industry stalwarts such as Nokia; ideas from the crowd are repeatedly more innovative than corporate research labs. MIT's Andrew McAfee and Erik Brynjolfsson know what it takes to master this digital-powered shift: we must rethink the integration of minds and machines, of products and platforms, and of the core and the crowd.

In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.

These are dangerous times for democracy. We live in an age of winners and losers, where the odds are stacked in favour of the already fortunate. Stalled social mobility and entrenched inequality give the lie to the promise that 'you can make it if you try'. And the consequence is a brew of anger and frustration that has fuelled populist protest, with the triumph of Brexit and election of Donald Trump.

In a world of self-driving cars and big data, smart algorithms and Siri, we know that artificial intelligence is getting smarter every day. Though all these nifty devices and programs might make our lives easier, they're also well on their way to making "good" jobs obsolete. A computer winning Jeopardy might seem like a trivial, if impressive, feat, but the same technology is making paralegals redundant as it undertakes electronic discovery, and is soon to do the same for radiologists.

In the stirring, highly anticipated first volume of his presidential memoirs, Barack Obama tells the story of his improbable odyssey from young man searching for his identity to leader of the free world, describing in strikingly personal detail both his political education and the landmark moments of the first term of his historic presidency - a time of dramatic transformation and turmoil.

The next Bill Gates will not build an operating system. The next Larry Page or Sergey Brin won’t make a search engine. And the next Mark Zuckerberg won't create a social network. If you are copying these guys, you aren't learning from them. It's easier to copy a model than to make something new: doing what we already know how to do takes the world from 1 to n, adding more of something familiar. But every time we create something new, we go from 0 to 1.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. 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 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.

Die schonungslose Bestandsaufnahme unserer Wirtschaft: Wir können alles - außer digital! Was kann Google, was Volkswagen und Bosch nicht können? Unsere Maschinenbauer, Autoindustrie, Energieversorger, unser Handel, unsere Banken und Dienstleister, aber auch unsere Politiker - Deutschland hat das 21. Jahrhundert mit einem Fehlstart begonnen. Werden wir digitale Provinz oder gelingt uns die Wende zum "Silicon Germany"?

What You Do Is Who You Are explains how to make your culture purposeful by spotlighting four models of leadership and culture-building - the leader of the only successful slave revolt, Haiti’s Toussaint Louverture; the Samurai, who ruled Japan for 700 years and shaped modern Japanese culture; Genghis Khan, who built the world’s largest empire; and Shaka Senghor, an American ex-con who created the most formidable prison gang in the yard and ultimately transformed prison culture.

Kai-Fu Lee: China, USA und die künstliche Intelligenz. Wer wissen will, wie sich in der Welt die Gewichte verschieben, muss sich die Künstliche-Intelligenz-Industrie (AI-Industrie) anschauen. Kai-Fu Lee, Ex-Google-China-CEO, milliardenschwerer Start-up-Investor und einer der weltweit renommiertesten AI-Experten, bietet in seinem Buch erstmals die chinesisch-amerikanische Perspektive. Er berichtet aus erster Hand: wie die Business-Kulturen aufeinanderprallen, warum die Silicon-Valley- Strategien in China scheitern mussten, wie ein chinesisches Google (Baidu).

Ob Smartphone, Internetsuche oder Navigation, Google ist unser Tor zur Welt. Doch zugleich gilt Google als übermächtig und unersättlich. Vor allem in Deutschland kämpft der Konzern mit Imageproblemen, nun will auch die EU gegen ihn aktiv werden. Doch Google hat begonnen, sich zu wandeln. Die Konzernführung glaubt fest daran, die Welt durch Technologie zum Besseren verändern zu können und baut das Unternehmen Schritt für Schritt zu einer Zukunftsmaschine um.

This audiobook was created based on Clayton Christensen's landmark book The Innovator's Dilemma. This was Mr. Christensen's synopsis of his book for the Harvard Business Review. The audio tracks listed here cover the key elements of Mr. Christensen's book. This audiobook emphasizes the Idea in Brief "Does my organization have the right resources, processes, values, and team to innovate?" Then it covers the right structure for your specific type of innovation.

Spinner, Gründer und Erfinder - Ein Bericht zwischen Panikmache und Euphorie. Faszinierend und zum Fürchten zugleich. Wer ins Silicon Valley kommt, fühlt sich manisch-depressiv. Manisch, weil der Ort buchstäblich vibriert vor Erfolg, Erfindergeist, Enthusiasmus und fiebriger Schnelligkeit. Depressiv, weil sofort klar ist, verglichen mit dem neuen Zentrum des Universums, sieht Europa alt aus, sehr alt... Aus erster Hand berichtet Christoph Keese von den Gründern im Silicon Valley, schildert ihre Philosophie und Erfolgsmuster und diskutiert die Folgen für unsere Wirtschaft, Gesellschaft und jeden Einzelnen.

Der New York Times Bestseller, der in über zehn Sprachen übersetzt wurde! Das wegweisende Werk „The Innovator’s Dilemma“ zählt heute zu den wichtigsten Managementbüchern überhaupt. Warum versagen großartige Unternehmen im Wettbewerb um Innovationen, obwohl sie alles richtig machen? Warum erweisen sich die klassischen Erfolgsfaktoren wie Kunden-, Ertrags- und Wachstumsorientierung bei disruptiven Innovationen als geradezu gefährlich und existenzbedrohend?

Thomas Piketty’s best-selling Capital in the Twenty-First Century galvanized global debate about inequality. In this audacious follow-up, Piketty challenges us to revolutionize how we think about politics, ideology, and history. He exposes the ideas that have sustained inequality for the past millennium, reveals why the shallow politics of right and left are failing us today, and outlines the structure of a fairer economic system.