MARC details
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04824cam a2200385Ii 4500 |
| 001 - CONTROL NUMBER |
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on1111514513 |
| 003 - CONTROL NUMBER IDENTIFIER |
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OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20240726105214.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
190803s2019 xx o 000 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
EBLCP |
| Language of cataloging |
eng |
| Description conventions |
pn |
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rda |
| Transcribing agency |
EBLCP |
| Modifying agency |
YDX |
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OCLCQ |
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NT |
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EBLCP |
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OCLCF |
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CNO |
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OCLCO |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781633697904 |
| Qualifying information |
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| 050 04 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
Q335 |
| Item number |
.A785 2019 |
| 049 ## - LOCAL HOLDINGS (OCLC) |
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| Holding library |
MAIN |
| 245 10 - TITLE STATEMENT |
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| Title |
Artificial Intelligence : |
| Remainder of title |
the Insights You Need from Harvard Business Review. |
| Statement of responsibility, etc. |
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| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Place of publication, distribution, etc. |
La Vergne : |
| Name of publisher, distributor, etc. |
Harvard Business Review Press, |
| Date of publication, distribution, etc. |
(c)2019. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
1 online resource (xvi, 176 pages) |
| 336 ## - CONTENT TYPE |
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| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Carrier type term |
online resource |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
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| File type |
data file |
| Source |
rda |
| 490 1# - SERIES STATEMENT |
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| Series statement |
The insights you need from Harvard Business Review |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Includes bibliographies and index. |
| 520 0# - SUMMARY, ETC. |
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| Summary, etc. |
Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.-- |
| Assigning source |
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| 505 00 - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Section 1. Understanding AI and machine learning: The business of artificial intelligence: what it can -- |
| Title |
and cannot -- |
| -- |
do for your organization / |
| Statement of responsibility |
Erik Brynjolfsson and Andrew McAfee -- |
| Title |
Inside facebook's AI workshop: at the social network behemoth, machine learning has become a platform for the platform, an interview with Joaquin Candela by Scott Berinato -- |
| -- |
Why companies that wait to adopt AI may never catch up: the "fast follower" strategy won't work / |
| Statement of responsibility |
Vikram Mahidhar and Thomas H. Davenport -- |
| Title |
Section 2. Adopting AI: 3 questions about AI that nontechnical employees should be able to answer: how does it work, what is it good at, and what should it never do? / |
| Statement of responsibility |
Emma Martinho-Truswell -- |
| Title |
Is your company's data actually valuable in the AI era?: the problem with "data is the new oil." / |
| Statement of responsibility |
Ajay Agrwawal, Joshua Gans, and Avi Goldfarb -- |
| Title |
How to choose your first AI project: pick a quick win to build internal support / |
| Statement of responsibility |
Andrew Ng -- |
| Title |
How Harley-Davidson used artificial intelligence to increase New York sales leads by 2,930%: and it led to more revenue and more jobs / |
| Statement of responsibility |
Brad Power -- |
| Title |
What will happen when your company's algorithms go wrong?: you need to have a plan / |
| Statement of responsibility |
Roman V. Yampolskiy -- |
| Title |
Section 3. AI and the future of work: How will AI change work?: here are 5 schools of thought: in some versions, society will fundamentally change / |
| Statement of responsibility |
Mark Knickrehm -- |
| Title |
Collaborative intelligence: humans and AI are joining forces: humans and machines can enhance each other's strengths / |
| Statement of responsibility |
H. James Wilson and Paul Daugherty -- |
| Title |
Section 4. The future of AI: 3 ways AI is getting more emotional: as we spend more time with our devices, we emit more data to be analyzed / |
| Statement of responsibility |
Sophie Kleber -- |
| Title |
How AI will change strategy: a thought experiment: E-commerce could move from shopping-then-shipping to shipping-then-shopping / |
| Statement of responsibility |
Ajay Agrwawal, Joshua Gans, and Avi Goldfarb -- |
| Title |
The future of AI will be about less data, not more: we need computers with some common sense / |
| Statement of responsibility |
H. James Wilson, Paul Daugherty, and Chase Davenport. |
| 530 ## - COPYRIGHT INFORMATION: |
|---|
| COPYRIGHT INFORMATION |
COPYRIGHT NOT covered - Click this link to request copyright permission: |
| Uniform Resource Identifier |
<a href="b">b</a> |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Artificial intelligence |
| General subdivision |
Industrial applications. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Technological innovations |
| General subdivision |
Economic aspects. |
| 655 #1 - INDEX TERM--GENRE/FORM |
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| Genre/form data or focus term |
Electronic Books. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Harvard Business Review Press, |
| Relator term |
|
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2003692&site=eds-live&custid=s3260518">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2003692&site=eds-live&custid=s3260518</a> |
| -- |
Click to access digital title | log in using your CIU ID number and my.ciu.edu password |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) |
| DONATED BY: |
|
| VENDOR |
EBSCO |
| Classification part |
Q |
| PUBLICATION YEAR |
2019 |
| LOCATION |
ONLINE |
| REQUESTED BY: |
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| -- |
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| -- |
NFIC |
| Source of classification or shelving scheme |
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| 994 ## - |
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| -- |
92 |
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NT |
| 902 ## - LOCAL DATA ELEMENT B, LDB (RLIN) |
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| a |
1 |
| b |
Cynthia Snell |
| c |
1 |
| d |
Cynthia Snell |