skip to content
The efficiency paradox : what big data can't do Preview this item
ClosePreview this item
Checking...

The efficiency paradox : what big data can't do

Author: Edward Tenner
Publisher: New York : Alfred A. Knopf, 2018. ©2018
Edition/Format:   eBook : Document : English : First editionView all editions and formats
Summary:
"A bold challenge to our obsession with efficiency--and a new understanding of how to benefit from the powerful potential of serendipity Algorithms, multitasking, sharing economy, life hacks: our culture can't get enough of efficiency. One of the great promises of the Internet and big data revolutions is the idea that we can improve the processes and routines of our work and personal lives to get more done in less
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy online

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Nonfiction
Additional Physical Format: Print version:
Tenner, Edward.
Efficiency paradox.
New York : Alfred A. Knopf, 2018
(DLC) 2017032040
(OCoLC)995065774
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Edward Tenner
ISBN: 9780525520306 0525520309
OCLC Number: 1031708203
Description: 1 online resource (xxxi, 282 pages)
Contents: Preface: The seven deadly sins of efficiency : why it is still a work in progress --
From mill to platform : how the nineteenth century redefined efficiency and the twenty-first has transformed it --
The failed promise of the information explosion : how the quest to measure elite science empowered populist culture --
The mirage of the teaching machine : why learning is still a slog after fifty years of Moore's Law --
Moving targets : what geographic information can't do --
The vanished body : why we are still waiting for RoboDoc --
Inspired inefficiency : how to balance algorithm and intuition.
Responsibility: Edward Tenner.

Abstract:

"A bold challenge to our obsession with efficiency--and a new understanding of how to benefit from the powerful potential of serendipity Algorithms, multitasking, sharing economy, life hacks: our culture can't get enough of efficiency. One of the great promises of the Internet and big data revolutions is the idea that we can improve the processes and routines of our work and personal lives to get more done in less time than ever before. There is no doubt that we're performing at higher scales and going faster than ever, but what if we're headed in the wrong direction? The Efficiency Paradox questions our ingrained assumptions about efficiency, persuasively showing how relying on the algorithms of platforms can in fact lead to wasted efforts, missed opportunities, and above all an inability to break out of established patterns. Edward Tenner offers a smarter way to think about efficiency, showing how we can combine artificial intelligence and our own intuition, leaving ourselves and our institutions open to learning from the random and unexpected"--

"Bold challenge to our obsession with efficiency--and a new understanding of how to benefit from the powerful potential of serendipity"--

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/1031708203> # The efficiency paradox : what big data can't do
    a schema:MediaObject, schema:Book, schema:CreativeWork ;
    library:oclcnum "1031708203" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/nyu> ;
    rdfs:comment "Warning: This malformed URI has been treated as a string - 'https://img1.od-cdn.com/ImageType-100/0111-1/{F2169773-B419-47AB-A197-82FA6CE6F4D8}Img100.jpg'" ;
    schema:about <http://experiment.worldcat.org/entity/work/data/4572100424#Topic/big_data> ; # Big data
    schema:about <http://experiment.worldcat.org/entity/work/data/4572100424#Topic/industrial_efficiency> ; # Industrial efficiency
    schema:about <http://experiment.worldcat.org/entity/work/data/4572100424#Topic/social_science_media_studies> ; # SOCIAL SCIENCE--Media Studies
    schema:about <http://experiment.worldcat.org/entity/work/data/4572100424#Topic/self_help_time_management> ; # SELF-HELP--Time Management
    schema:about <http://experiment.worldcat.org/entity/work/data/4572100424#Topic/business_&_economics_knowledge_capital> ; # BUSINESS & ECONOMICS--Knowledge Capital
    schema:about <http://experiment.worldcat.org/entity/work/data/4572100424#Topic/artificial_intelligence> ; # Artificial intelligence
    schema:about <http://experiment.worldcat.org/entity/work/data/4572100424#Topic/serendipity> ; # Serendipity
    schema:about <http://dewey.info/class/658.515/e23/> ;
    schema:author <http://experiment.worldcat.org/entity/work/data/4572100424#Person/tenner_edward> ; # Edward Tenner
    schema:bookEdition "First edition." ;
    schema:bookFormat schema:EBook ;
    schema:datePublished "2018" ;
    schema:description ""A bold challenge to our obsession with efficiency--and a new understanding of how to benefit from the powerful potential of serendipity Algorithms, multitasking, sharing economy, life hacks: our culture can't get enough of efficiency. One of the great promises of the Internet and big data revolutions is the idea that we can improve the processes and routines of our work and personal lives to get more done in less time than ever before. There is no doubt that we're performing at higher scales and going faster than ever, but what if we're headed in the wrong direction? The Efficiency Paradox questions our ingrained assumptions about efficiency, persuasively showing how relying on the algorithms of platforms can in fact lead to wasted efforts, missed opportunities, and above all an inability to break out of established patterns. Edward Tenner offers a smarter way to think about efficiency, showing how we can combine artificial intelligence and our own intuition, leaving ourselves and our institutions open to learning from the random and unexpected"--"@en ;
    schema:description ""Bold challenge to our obsession with efficiency--and a new understanding of how to benefit from the powerful potential of serendipity"--"@en ;
    schema:description "Preface: The seven deadly sins of efficiency : why it is still a work in progress -- From mill to platform : how the nineteenth century redefined efficiency and the twenty-first has transformed it -- The failed promise of the information explosion : how the quest to measure elite science empowered populist culture -- The mirage of the teaching machine : why learning is still a slog after fifty years of Moore's Law -- Moving targets : what geographic information can't do -- The vanished body : why we are still waiting for RoboDoc -- Inspired inefficiency : how to balance algorithm and intuition."@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/4572100424> ;
    schema:genre "Nonfiction"@en ;
    schema:inLanguage "en" ;
    schema:isSimilarTo <http://www.worldcat.org/oclc/995065774> ;
    schema:name "The efficiency paradox : what big data can't do"@en ;
    schema:productID "1031708203" ;
    schema:url <https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1561461> ;
    schema:url <https://samples.overdrive.com/?crid=f2169773-b419-47ab-a197-82fa6ce6f4d8&.epub-sample.overdrive.com> ;
    schema:url <http://link.overdrive.com/?websiteID=201995&titleID=3605494> ;
    schema:url <http://link.overdrive.com/?websiteID=12&titleID=3605494> ;
    schema:url <https://www.overdrive.com/search?q=F2169773-B419-47AB-A197-82FA6CE6F4D8> ;
    schema:url <http://link.overdrive.com/?websiteID=83&titleID=3605494> ;
    schema:url <http://link.overdrive.com/?websiteID=243&titleID=3605494> ;
    schema:url <http://rbdigital.rbdigital.com> ;
    schema:url "https://img1.od-cdn.com/ImageType-100/0111-1/{F2169773-B419-47AB-A197-82FA6CE6F4D8}Img100.jpg" ;
    schema:workExample <http://worldcat.org/isbn/9780525520306> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/1031708203> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/4572100424#Person/tenner_edward> # Edward Tenner
    a schema:Person ;
    schema:familyName "Tenner" ;
    schema:givenName "Edward" ;
    schema:name "Edward Tenner" ;
    .

<http://experiment.worldcat.org/entity/work/data/4572100424#Topic/artificial_intelligence> # Artificial intelligence
    a schema:Intangible ;
    schema:name "Artificial intelligence"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/4572100424#Topic/business_&_economics_knowledge_capital> # BUSINESS & ECONOMICS--Knowledge Capital
    a schema:Intangible ;
    schema:name "BUSINESS & ECONOMICS--Knowledge Capital"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/4572100424#Topic/industrial_efficiency> # Industrial efficiency
    a schema:Intangible ;
    schema:name "Industrial efficiency"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/4572100424#Topic/self_help_time_management> # SELF-HELP--Time Management
    a schema:Intangible ;
    schema:name "SELF-HELP--Time Management"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/4572100424#Topic/social_science_media_studies> # SOCIAL SCIENCE--Media Studies
    a schema:Intangible ;
    schema:name "SOCIAL SCIENCE--Media Studies"@en ;
    .

<http://worldcat.org/isbn/9780525520306>
    a schema:ProductModel ;
    schema:isbn "0525520309" ;
    schema:isbn "9780525520306" ;
    .

<http://www.worldcat.org/oclc/995065774>
    a schema:CreativeWork ;
    rdfs:label "Efficiency paradox." ;
    schema:description "Print version:" ;
    schema:isSimilarTo <http://www.worldcat.org/oclc/1031708203> ; # The efficiency paradox : what big data can't do
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.