Working with AI
(eAudiobook)

Book Cover
Average Rating
Published
G&D Media, 2022.
Format
eAudiobook
ISBN
9781722551582
Status
Available Online

Description

Loading Description...

More Details

Physical Description
8h 51m 0s
Language
English

Also in this Series

Checking series information...

More Like This

Loading more titles like this title...

Syndetics Unbound

Reviews from GoodReads

Loading GoodReads Reviews.

Citations

APA Citation, 7th Edition (style guide)

Thomas H. Davenport., Thomas H. Davenport|AUTHOR., Steven M. Miller|AUTHOR., & Tim Andres Pabon|READER. (2022). Working with AI . G&D Media.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Thomas H. Davenport et al.. 2022. Working With AI. G&D Media.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Thomas H. Davenport et al.. Working With AI G&D Media, 2022.

MLA Citation, 9th Edition (style guide)

Thomas H. Davenport, Thomas H. Davenport|AUTHOR, Steven M. Miller|AUTHOR, and Tim Andres Pabon|READER. Working With AI G&D Media, 2022.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

Staff View

Go To Grouped Work

Grouping Information

Grouped Work IDaa3743d7-974f-b73c-fe62-4d7825922656-eng
Full titleworking with ai
Authordavenport thomas h
Grouping Categorybook
Last Update2024-05-14 23:01:43PM
Last Indexed2024-06-01 03:00:15AM

Book Cover Information

Image Sourcehoopla
First LoadedJun 20, 2023
Last UsedMay 20, 2024

Hoopla Extract Information

stdClass Object
(
    [year] => 2022
    [artist] => Thomas H. Davenport
    [fiction] => 
    [coverImageUrl] => https://cover.hoopladigital.com/csp_9781722551582_270.jpeg
    [titleId] => 15534876
    [isbn] => 9781722551582
    [abridged] => 
    [language] => ENGLISH
    [profanity] => 
    [title] => Working with AI
    [demo] => 
    [segments] => Array
        (
        )

    [duration] => 8h 51m 0s
    [children] => 
    [artists] => Array
        (
            [0] => stdClass Object
                (
                    [name] => Thomas H. Davenport
                    [artistFormal] => Davenport, Thomas H.
                    [relationship] => AUTHOR
                )

            [1] => stdClass Object
                (
                    [name] => Steven M. Miller
                    [artistFormal] => Miller, Steven M.
                    [relationship] => AUTHOR
                )

            [2] => stdClass Object
                (
                    [name] => Tim Andres Pabon
                    [artistFormal] => Pabon, Tim Andres
                    [relationship] => READER
                )

        )

    [genres] => Array
        (
            [0] => Science & Technology
        )

    [price] => 1.69
    [id] => 15534876
    [edited] => 
    [kind] => AUDIOBOOK
    [active] => 1
    [upc] => 
    [synopsis] => Two management and technology experts show that AI is not a job destroyer, exploring worker-AI collaboration in real-world work settings.

This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled-"smart"-systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer. Rather, AI changes the way we work-by taking over some tasks but not entire jobs, freeing people to do other, more important and more challenging work. By offering detailed, real-world case studies of AI-augmented jobs in settings that range from finance to the factory floor, Davenport and Miller also show that AI in the workplace is not the stuff of futuristic speculation. It is happening now to many companies and workers.

These cases include a digital system for life insurance underwriting that analyzes applications and third-party data in real time, allowing human underwriters to focus on more complex cases; an intelligent telemedicine platform with a chat-based interface; a machine learning-system that identifies impending train maintenance issues by analyzing diesel fuel samples; and Flippy, a robotic assistant for fast food preparation. For each one, Davenport and Miller describe in detail the work context for the system, interviewing job incumbents, managers, and technology vendors. Short "insight" chapters draw out common themes and consider the implications of human collaboration with smart systems.
    [url] => https://www.hoopladigital.com/title/15534876
    [pa] => 
    [publisher] => G&D Media
    [purchaseModel] => INSTANT
)