『New Books in Technology』のカバーアート

New Books in Technology

New Books in Technology

著者： New Books Network
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 Interviews with Scholars of Technology about their New Books Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technologyNew Books Network 政治・政府
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  • John Horn, "Inside the Competitor's Mindset: How to Predict Their Next Move and Position Yourself for Success" (MIT Press, 2023)

    John Horn, "Inside the Competitor's Mindset: How to Predict Their Next Move and Position Yourself for Success" (MIT Press, 2023)
    2025/05/31
    Inside the Competitor's Mindset: How to Predict Their Next Move and Position Yourself for Success (MIT Press, 2023) offers a roadmap to help leaders predict, understand, and react to their competitors’ moves. It is a valuable tool to help companies stay ahead of their competitors when the competition is intensifying. To make the right choice when a competitor is working hard to prevent it is difficult. This book demystifies the process. For organizations developing systematic tools to effectively predict competitor behavior, this book provides a powerful, fact-based approach to building insight into A must-read for anyone seeking to better understand their competitors. This book shares proven methods for thinking like the competition and understand why they act the way they do. The keys are cognitive empathy and an approach that focuses on why competitors behave as they do. The book presents a systematic approach to competitive intelligence that starts with frameworks that get inside a competitor’s mindset, predict their reactions and assess their actions. The book stresses the importance of collecting forward-looking, predictive data; explains how to use war games, Black Hat exercises, mock negotiations, and premortems to build competitive insight; and makes the case for creating a dedicated competitive insight function within the organization. Reading this book will enable you to anticipate how competitors will react to moves you make. It ingeniously applies lessons from archaeologists, paleontologists, NICU nurses, and homicide detectives to better gather and analyze information when it is not possible to ask direct questions; Alfred Marcus, Edson Spencer Professor of Strategy and Technology University of Minnesota Carlson School of Management. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology
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    1 時間 45 分
  • Alex Davies, "Driven: The Race to Create the Autonomous Car" (Simon & Schuster, 2022)

    Alex Davies, "Driven: The Race to Create the Autonomous Car" (Simon & Schuster, 2022)
    2025/05/27
    In Driven: The Race to Create the Autonomous Car (Simon & Schuster, 2022), Alex Davies tells the enlightening and significant story of the effort to create driverless cars and the intense competition among tech heavyweights such as Google, Uber, and Tesla to move this technology forward. Autonomous vehicles (AVs) have been one of the most hyped technologies of recent years, but early promises that they would quickly become common place have not borne fruit. Alex Davies set forth the twisted paths of this technology’s evolution from its genesis to the current moment. The idea began with the Defense Advanced Research Projects Agency (DARPA), which aimed to create a land-based equivalent to the drone, a vehicle that could operate in war zones without risking human lives. DARPA established “Grand Challenges” that enticed future-oriented thinkers including amateurs and students to help drive the technology from fantasy to reality. Carnegie-Mellon University and other universities played a major role. The technology got the attention of Silicon Valley companies like Google and Uber. Next arriving were the major US automakers, GM and Ford, who initiated their programs of their own to commercialize the technology, and Chinese companies also showed an intense interest. As road testing went forward, however, the challenges became far more apparent. The difficulties of traversing diverse terrains under varying weather conditions without a driver came out to be far more daunting than expected. Progress was made but in no way as fast as the developers of the technology hoped. The early enthusiasm of the key players dissipated as they came to realize that AI-assisted driverless transportation faced formidable barriers. This book provides fabulous insights into the key characters in this story and how they struggled with a technology that was not ready for rush-hour driving It is a fast-paced, exciting account of how autonomous technology emerged, the main players, the conflicts between companies, and state of the technology today. The book provides the reader with a genuine feel for how real happens. The writing is fantastic because of the emphasis on that details that come from the many conversations that Davies had with people at the center of the story. Hosted by Alfred Marcus, Edson Spencer Professor of Strategy and Technology University of Minnesota Carlson School of Management. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology
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    1 時間 28 分
  • From Hal to Siri: How Computers Learned to Speak

    From Hal to Siri: How Computers Learned to Speak
    2025/05/19
    Today we learn how computers learned to talk with Benjamin Lindquist, a postdoctoral researcher at Northwestern University’s Science in Human Culture program. Ben is the author “The Art of Text to Speech,” which recently appeared in Critical Inquiry, and he’s currently writing a history of text-to-speech computing. In this conversation, we explore: the fascinating backstory to HAL 9000, the speaking computer in Stanley Kubrick’s 2001: a Space Odyssey 2001’s strong influence on computer science and the cultural reception of computers the weird technology of the first talking computers and their relationship to optical film soundtracks Louis Gerstman, the forgotten innovator who first made an IBM mainframe sing “Daisy Bell.” why the phonemic approach of Stephen Hawking’s voice didn’t make it into the voice of Siri the analog history of digital computing and the true differences between analog and digital Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology
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    54 分

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