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    Summary of Harvard Business Review's The Year in Tech 2022
    Summary of Harvard Business Review's The Year in Tech 2022
    Summary of Harvard Business Review's The Year in Tech 2022
    Ebook18 pages7 minutes

    Summary of Harvard Business Review's The Year in Tech 2022

    By IRB Media

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    About this ebook

    Get the Summary of Harvard Business Review's The Year in Tech 2022 in 20 minutes. Please note: This is a summary & not the original book.Original book introduction: From quantum computing and next-generation digital health tools to virtual reality training and the dawn of the commercial space age, new technologies are reshaping business on the factory floor and in the C-suite. What should you and your company be doing now to take advantage of the new opportunities these technologies are creating—and avoid falling victim to disruption?

    The Year in Tech 2022: The Insights You Need from Harvard Business Review will help you understand what the latest and most important tech innovations mean for your organization and how you can use them to compete and win in today's turbulent business environment.

    LanguageEnglish
    PublisherIRB Media
    Release dateNov 22, 2021
    ISBN9781638157403
    Summary of Harvard Business Review's The Year in Tech 2022
    Author

    IRB Media

    With IRB books, you can get the key takeaways and analysis of a book in 15 minutes. We read every chapter, identify the key takeaways and analyze them for your convenience.

    Read more from Irb Media

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      Book preview

      Summary of Harvard Business Review's The Year in Tech 2022 - IRB Media

      Insights on Harvard Business Review's The Year in Tech 2022

      Contents

      Insights from Chapter 1

      Insights from Chapter 2

      Insights from Chapter 3

      Insights from Chapter 1

      #1

      The rapid development of data and AI has created new ethical problems for companies to tackle. Getting it wrong can lead to regulatory, legal, and public relations issues, among other things. To mitigate these risks, companies must operationalize their data and AI ethics policies and train their employees on how to recognize and deal with potential ethical issues.

      #2

      There are three standard approaches to data and artificial intelligence ethical risk mitigation: the academic approach, the on the ground approach, and the high-level principles approach. While companies seem to be

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