Decoding talent : (Record no. 344059)

MARC details
000 -LEADER
fixed length control field 02032cam a2200361 i 4500
001 - CONTROL NUMBER
control field on1264211538
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220315132906.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210818s2022 nyua b 001 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency YDX
Language of cataloging eng
Description conventions rda
Transcribing agency YDX
Modifying agency BDX
-- SFR
-- NFG
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1639080090
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781639080090
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1264211538
092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC)
Classification number 658.311
Item number S982
049 ## - LOCAL HOLDINGS (OCLC)
Holding library NFGA
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Sydell, Eric,
Relator term author.
245 10 - TITLE STATEMENT
Title Decoding talent :
Remainder of title how AI and big data can solve your company's people puzzle /
Statement of responsibility, etc Eric Sydell, Mike Hudy, and Michael Ashley.
250 ## - EDITION STATEMENT
Edition statement First edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS
Place of production, publication, distribution, manufacture New York, New York :
Name of producer, publisher, distributor, manufacturer Fast Company Press,
Date of production, publication, distribution, manufacture [2022]
300 ## - PHYSICAL DESCRIPTION
Extent 220 pages :
Other physical details illustrations ;
Dimensions 24 cm
336 ## - CONTENT TYPE
Content Type Term text
Content Type Code txt
Source rdacontent
337 ## - MEDIA TYPE
Media Type Term unmediated
Media Type Code n
Source rdamedia
338 ## - CARRIER TYPE
Carrier Type Term volume
Carrier Type Code nc
Source rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc "The typical hiring process is fraught with complexity, inefficiency, and bias and often shuts out the most talented candidates. Decoding Talent: How AI and Big Data Can Solve Your Company's People Puzzle makes the case for using complex advanced technologies to move past these problems toward effortless optimal candidate decisions. AI experts Eric Sydell, Mike Hudy, and Michael Ashley explain why the traditional resume-based process is out of date, why hiring is difficult, the cost of bad people decisions, how bias interferes in hiring practices, and how AI can address these problems. Decoding Talent reveals that using AI in hiring doesn't require your human resource professionals to unlearn and relearn their craft; rather, machine learning can complement their skills by consolidating and analyzing data to recommend actions"--
Assigning source Amazon.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Employees
General subdivision Recruiting.
9 (RLIN) 48324
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Employee selection.
9 (RLIN) 121780
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
9 (RLIN) 24860
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data.
9 (RLIN) 246736
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hudy, Mike,
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ashley, Michael,
Relator term author.
9 (RLIN) 89263
994 ## -
-- C0
-- NFG
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Date checked out Cost, replacement price Price effective from Koha item type
        NonFiction Main Library Main Library 02/25/2022 1 1 658.311 S982 33111010772891 05/31/2024 05/20/2024 24.95 02/14/2022 Adult Book

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