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  • 1
    ISBN: 9780262047241
    Language: English
    Pages: xxi, 288 Seiten
    Series Statement: Management on the cutting edge series
    Parallel Title: Erscheint auch als Davenport, Thomas H., 1954 - Working with AI
    Parallel Title: Erscheint auch als Davenport, Thomas H., 1954 - Working with AI
    DDC: 658/.0563
    RVK:
    RVK:
    Keywords: Mensch-Maschine-System ; Künstliche Intelligenz ; Arbeitswelt ; Automatisierte Produktion ; Arbeitsorganisation ; Welt ; Artificial intelligence Economic aspects ; Artificial intelligence Industrial applications ; Information technology Management ; Human-computer interaction ; Fallstudiensammlung
    Abstract: "An exploration of the future of work featuring real-world profiles of changing jobs and work arrangements in light of human/AI interaction."
    Note: Includes bibliographical references and index
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  • 2
    Book
    Book
    Boston, Mass. : Harvard Business School Press
    ISBN: 157851441X , 1578518717
    Language: English
    Pages: IX, 255 S. , graph Darst. , 25 cm
    DDC: 303.48/33
    RVK:
    Keywords: Personal information management ; Attention ; Öffentlichkeitsarbeit ; Kommunikation
    Description / Table of Contents: Literaturverz. S. 223 - 229
    Note: Includes index
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  • 3
    Book
    Book
    New York : Garland Pub
    ISBN: 0824092511
    Language: English
    Pages: 279 p , ill , 24 cm
    Series Statement: Harvard studies in sociology
    DDC: 306.6
    Keywords: Irreligion ; United States Religion 1960- ; Hochschulschrift ; Hochschulschrift ; Hochschulschrift
    Note: Derived from the author's thesis (Ph. D.)--Harvard University, 1980
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  • 4
    ISBN: 9781663722553 , 1663722552 , 9781663722546 , 1663722544
    Language: English
    Pages: 1 online resource (1 audio file (6 hr., 47 min.))
    Edition: [First edition].
    DDC: 658.0563
    Keywords: Business Data processing ; Artificial intelligence ; Audiobooks
    Abstract: Though most organizations are placing modest bets on artificial intelligence, there is a world-class group of companies that are going all-in on the technology and radically transforming their products, processes, strategies, customer relationships, and cultures. Though these organizations represent less than 1 percent of large companies, they are all high performers in their industries. They have better business models, make better decisions, have better relationships with their customers, offer better products and services, and command higher prices. Written by bestselling author Tom Davenport and Deloitte's Nitin Mittal, All-In on AI looks at artificial intelligence at its cutting edge from the viewpoint of established companies like Anthem, Ping An, Airbus, and Capital One. Filled with insights, strategies, and best practices, All-In on AI also provides leaders and their teams with the information they need to help their own companies take AI to the next level. If you're curious about the next phase in the implementation of artificial intelligence within companies, or if you're looking to adopt this powerful technology in a more robust way yourself, All-In on AI will give you a rare inside look at what the leading adopters are doing, while providing you with the tools to put AI at the core of everything you do.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 30, 2023)
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  • 5
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : HarperCollins Publishers
    ISBN: 9780062438607
    Language: English
    Pages: 1 online resource (271 pages)
    Edition: 1st ed.
    Parallel Title: Erscheint auch als
    DDC: 303.483
    Abstract: Intro -- Dedication -- Contents -- Introduction -- 1. Are Computers Coming After Your Job? -- 2. Just How Smart Are Smart Machines? -- 3. Don't Automate, Augment -- 4. Stepping Up -- 5. Stepping Aside -- 6. Stepping In -- 7. Stepping Narrowly -- 8. Stepping Forward -- 9. How You'll Manage Augmentation -- 10. Utopia or Dystopia? How Society Must Adapt to Smart Machines -- Acknowledgments -- Notes -- Index -- About the Authors -- Also by Thomas H. Davenport and Julia Kirby -- Copyright -- About the Publisher.
    Note: Description based on publisher supplied metadata and other sources
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  • 6
    Language: English
    Pages: 1 online resource (1 volume)
    Keywords: Artificial intelligence ; Industrial applications ; Artificial intelligence ; Economic aspects ; Technological innovations ; Economic aspects ; Electronic books ; Electronic books ; local
    Abstract: Many people don't trust decisions, answers, or recommendations from artificial intelligence. To address that problem, makers of AI applications and systems should stop overpromising, be more transparent about how systems are used, and consider third-party certification.
    Note: Place of publication from publisher's website. - Adapted from the author's The AI advantage (MIT Press, 2018). - "Reprint #60217.". - Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed April 29, 2019)
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  • 7
    Language: English
    Pages: 1 online resource (1 volume)
    Keywords: Technological unemployment ; Technological innovations ; Economic aspects ; Employment forecasting ; Occupations ; Forecasting ; Electronic books ; Electronic books ; local
    Abstract: Most of us view our jobs as specialized or somehow differentiated, but the world of business and management increasingly feels otherwise. For many organizations today, the next big driver of job commoditization is automation driven by smart machines. Simply put, if a job is viewed as a commodity, it won't be long before it's automated. The key for workers whose jobs have traditionally seemed safe: Highlight the tasks that require a human touch.
    Note: "Reprint #59211.". - Description based on online resource; title from cover (Safari, viewed February 6, 2018)
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  • 8
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Big data ; Business enterprises ; Data processing ; Information technology ; Management ; Database management ; Electronic books ; Electronic books ; local
    Abstract: Organizations across all industries are attempting to capitalize on the promise of Big Data by using their information assets as a source of competitive advantage. In doing so, they are investing heavily in areas such as analytic tools and new storage capabilities. However, they often neglect the data management layer of the equation: it's not simply about finding an optimal way to store or analyze the data, but it's also vital that you prepare and manage the data for consumption. After all, if the data is inaccurate or incomplete, no consumer will trust or use it. Typically, organizations expend a lot of time on manual data cleaning and vetting to create "master records"-a single, trusted view of an organizational entity such as a customer or supplier-and this is often the area where most help is needed. This report explains just how powerful machine learning can be when applied directly to the creation of master data records. Known as agile data mastering, this method leverages ML's speed and flexibility to quickly create accurate master records that can scale across datasets and domains. You'll learn agile data mastering processes based on the operation of Tamr, an enterprise-scale data unification company that applies human-guided machine learning to this task. This report explores the: Overall importance and many uses of master data records Challenge of creating these records in distributed, complex data environments Differences between traditional master data management (MDM) and agile data mastering Advantages of agile data mastering Technology of Tamr, a data unification company that provides agile data mastering solutions
    Note: Description based on online resource; title from title page (Safari, viewed January 8, 2019)
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  • 9
    Online Resource
    Online Resource
    Shelter Island, New York : Manning Publications
    ISBN: 9781633438774 , 1633438775
    Language: English
    Pages: 1 online resource (xxvi, 163 pages) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 658.05
    Keywords: Business Data processing ; Data protection ; Big data
    Abstract: The data you generate every day is the lifeblood of many large companies—and they make billions of dollars using it. In Data for All, bestselling author John K. Thompson outlines how this one-sided data economy is about to undergo a dramatic change. Thompson pulls back the curtain to reveal the true nature of data ownership, and how you can turn your data from a revenue stream for companies into a financial asset for your benefit.
    Note: Includes bibliographical references and index. - Description based on print version record
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  • 10
    Language: English
    Pages: 1 online resource (7 pages)
    Edition: [First edition].
    DDC: 658.3/1243
    Keywords: Automation Human factors ; Artificial intelligence Industrial applications
    Abstract: Companies are increasingly embracing the idea of helping nontechnical employees — those with deep business-area expertise — learn to automate mundane, repetitive, time-consuming processes through minimal training in low-code and no-code technologies. This article describes the benefits and challenges that six companies — AT&T, Dentsu, Johnson & Johnson, PwC, Voya Financial, and Wesco — experienced in their forays into the citizen automation movement.
    Note: "Reprint #65124.". - Includes bibliographical references
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