Central Library, Indian Institute of Technology Delhi
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Why AI/data science projects fail : (Record no. 237351)

MARC details
000 -LEADER
fixed length control field 04925nam a2200769 i 4500
001 - CONTROL NUMBER
control field 9316369
003 - CONTROL NUMBER IDENTIFIER
control field IEEE
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220822104650.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m eo d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr bn |||m|||a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210115s2021 caua fob 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781636390390
Qualifying information electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781636390406
Qualifying information hardcover
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781636390383
Qualifying information paperback
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.2200/S01070ED1V01Y202012CAN001
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (CaBNVSL)thg00082233
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1231736040
040 ## - CATALOGING SOURCE
Original cataloging agency CaBNVSL
Language of cataloging eng
Description conventions rda
Transcribing agency CaBNVSL
Modifying agency CaBNVSL
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q335
Item number .W458 2021eb
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Weiner, Joyce,
Relator term author.
245 10 - TITLE STATEMENT
Title Why AI/data science projects fail :
Remainder of title how to avoid project pitfalls /
Statement of responsibility, etc. Joyce Weiner.
246 3# - VARYING FORM OF TITLE
Title proper/short title Why artificial intelligence/data science projects fail :
Remainder of title how to avoid project pitfalls.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture San Rafael, California (1537 Fourth Street, 1537 Fourth Street, San Rafael, CA 94901 USA) :
Name of producer, publisher, distributor, manufacturer Morgan & Claypool Publishers,
Date of production, publication, distribution, manufacture, or copyright notice [2021]
300 ## - PHYSICAL DESCRIPTION
Extent 1 PDF (xi, 65 pages) :
Other physical details illustrations.
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term electronic
Source isbdmedia
338 ## - CARRIER TYPE
Carrier type term online resource
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement Synthesis lectures on computation and analytics ;
Volume/sequential designation #1
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
538 ## - SYSTEM DETAILS NOTE
System details note System requirements: Adobe Acrobat Reader.
500 ## - GENERAL NOTE
General note Part of: Synthesis digital library of engineering and computer science.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (pages 63-64).
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1 Introduction and background -- 2. Project phases and common project pitfalls -- 2.1. Tips for managers
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3. Five methods to avoid common pitfalls -- 3.1. Ask questions -- 3.2. Get alignment -- 3.3. Keep it simple -- 3.4. Leverage explainability -- 3.5. Have the conversation -- 3.6. Tips for managers
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4. Define phase -- 4.1. Project charter -- 4.2. Supplier-input-process-output-customer (SIPOC) analysis -- 4.3. Tips for managers
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 5. Making the business case : assigning value to your project -- 5.1. Data analysis projects -- 5.2. Automation projects -- 5.3. Improving business processes -- 5.4. Data mining projects -- 5.5. Improved data science -- 5.6. Metrics to dollar conversion
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 6. Acquisition and exploration of data phase -- 6.1. Acquiring data -- 6.2. Developing data collection systems -- 6.3. Data exploration -- 6.4. What does the customer want to know? -- 6.5. Preparing for a report or model -- 6.6. Tips for managers
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 7. Model-building phase -- 7.1. Keep it simple -- 7.2. Repeatability -- 7.3. Leverage explainability -- 7.4. Tips for managers
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 8. Interpret and communicate phase -- 8.1. Know your audience -- 8.2. Reports -- 8.3. Presentations -- 8.4. Models -- 8.5. Tips for mangers
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 9. Deployment phase -- 9.1. Plan for deployment from the start -- 9.2. Documentation -- 9.3. Maintenance -- 9.4. Tips for managers
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 10. Summary of the five methods to avoid common pitfalls -- 10.1. Ask questions -- 10.2. Get alignment -- 10.3. Keep it simple -- 10.4. Leverage explainability -- 10.5. Have the conversation.
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Abstract freely available; full-text restricted to subscribers or individual document purchasers.
510 0# - CITATION/REFERENCES NOTE
Name of source Compendex
510 0# - CITATION/REFERENCES NOTE
Name of source INSPEC
510 0# - CITATION/REFERENCES NOTE
Name of source Google scholar
510 0# - CITATION/REFERENCES NOTE
Name of source Google book search
520 ## - SUMMARY, ETC.
Summary, etc. Recent data shows that 87% of Artificial Intelligence/Big Data projects don't make it into production (VB Staff, 2019), meaning that most projects are never deployed. This book addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid those pitfalls. Along the way, stories from actual experience in building and deploying data science projects are shared to illustrate the methods and tools. While the book is primarily for data science practitioners, information for managers of data science practitioners is included in the Tips for Managers sections.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print.
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Title from PDF title page (viewed on January 15, 2021).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial Intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Big data.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Project management.
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term data science
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term project management
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term AI projects
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term data science projects
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term project planning
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term agile applied to data science
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Lean Six Sigma
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9781636390383
-- 9781636390406
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis lectures on computation and analytics ;
Volume/sequential designation #1.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis digital library of engineering and computer science.
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to resource
Uniform Resource Identifier <a href="https://ieeexplore.ieee.org/servlet/opac?bknumber=9316369">https://ieeexplore.ieee.org/servlet/opac?bknumber=9316369</a>
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to full text
Uniform Resource Identifier <a href="https://doi.org/10.2200/S01070ED1V01Y202012CAN001">https://doi.org/10.2200/S01070ED1V01Y202012CAN001</a>
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Total Checkouts Date last seen Price effective from Koha item type
        Indian Institute of Technology Delhi - Central Library Indian Institute of Technology Delhi - Central Library 22/08/2022   22/08/2022 22/08/2022 Ebooks
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