Bøger af Michael Schrage

Achieving faster, better, cheaper, and more creative innovation outcomes with the 5X5 framework: 5 people, 5 days, 5 experiments, $5,000, and 5 weeks.

For organizations that care about innovation, individual creativity isn't enough anymore -- people need to be in creative, collaborative relationships. But without the knowledge and tools for building these relationships, innovation expert Michael Schrage argues, one will not be successful in the offices of today and even less so in the "virtual" offices of tomorrow. No More Teams gives readers the tools and techniques to go beyond the lazy cliches of "teamwork" to the practical benefits of collaboration. When Schrage studied the world's greatest collaborations -- including Wozniak and Jobs, Picasso and Braque, Watson and Crick -- he found that instead of relying on charisma, they all created "shared spaces" where they could play with their ideas. By effectively using technological tools available in most workplaces -- anything from a felt tip pen and a napkin to specialized computer software - -you can literally map your discussion as it is happening, making it possible to keep all the good ideas, cope with every objection, handle conflicts as they arise, and, ultimately, master the unknown.

How companies like Amazon and Netflix know what “you might also like”: the history, technology, business, and social impact of online recommendation engines.Increasingly, our technologies are giving us better, faster, smarter, and more personal advice than our own families and best friends. Amazon already knows what kind of books and household goods you like and is more than eager to recommend more; YouTube and TikTok always have another video lined up to show you; Netflix has crunched the numbers of your viewing habits to suggest whole genres that you would enjoy. In this volume in the MIT Press''s Essential Knowledge series, innovation expert Michael Schrage explains the origins, technologies, business applications, and increasing societal impact of recommendation engines, the systems that allow companies worldwide to know what products, services, and experiences “you might also like.”Schrage offers a history of recommendation that reaches back to antiquity''s oracles and astrologers; recounts the academic origins and commercial evolution of recommendation engines; explains how these systems work, discussing key mathematical insights, including the impact of machine learning and deep learning algorithms; and highlights user experience design challenges. He offers brief but incisive case studies of the digital music service Spotify; ByteDance, the owner of TikTok; and the online personal stylist Stitch Fix. Finally, Schrage considers the future of technological recommenders: Will they leave us disappointed and dependent—or will they help us discover the world and ourselves in novel and serendipitous ways?