MARC details
| 000 -LEADER |
| fixed length control field |
05698cam a22004338i 4500 |
| 001 - CONTROL NUMBER |
| control field |
20846074 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
US-DLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20200119103935.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
190211s2019 nju 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
| LC control number |
2018057452 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781119548218 (hardback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| Cancelled/invalid ISBN |
9781119548966 (ebk) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| Cancelled/invalid ISBN |
9781119548980 (ebk) |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
DLC |
| Modifying agency |
AU |
| 042 ## - AUTHENTICATION CODE |
| Authentication code |
pcc |
| 049 ## - LOCAL HOLDINGS (OCLC) |
| Holding library |
Alfaisal Main Library |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
| Classification number |
HD30.28 |
| Item number |
.M357 2019 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Marr, Bernard, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
| Title |
Artificial intelligence in practice : |
| Remainder of title |
how 50 successful companies used artificial intelligence to solve problems / |
| Statement of responsibility, etc |
Bernard Marr. |
| 250 ## - EDITION STATEMENT |
| Edition statement |
First Edition. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
| Date of publication, distribution, etc |
©2019 |
| 263 ## - PROJECTED PUBLICATION DATE |
| Projected publication date |
1903 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS |
| Place of production, publication, distribution, manufacture |
Hoboken : |
| Name of producer, publisher, distributor, manufacturer |
Wiley, |
| Date of production, publication, distribution, manufacture |
©2019 |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
340 p: |
| 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 |
| 500 ## - GENERAL NOTE |
| General note |
Includes index. |
| 505 8# - FORMATTED CONTENTS NOTE |
| Formatted contents note |
Machine generated contents note: Acknowledgments About the Author Introduction Part 1--AI Trailblazers Chapter 1 Alibaba Chapter 2 Alphabet / Google Chapter 3 Amazon Chapter 4 Apple Chapter 5 Baidu Chapter 6 Facebook Chapter 7 IBM Chapter 8 JD.com Chapter 9 Microsoft Chapter 10 Tencent Part 2--Retail, consumer goods and food & beverage companies Chapter 11 Burberry Chapter 12 Coca Cola Chapter 13 Dominos Chapter 14 Kimberly Clark Chapter 15 McDonalds Chapter 16 Samsung Chapter 17 Starbucks Chapter 18 Stichfix Chapter 19 Unilever Chapter 20 Walmart Part 3--Media, entertainment and telecom companies Chapter 21 Disney Chapter 22 Instagram Chapter 23 LinkedIn Chapter 24 Netflix Chapter 25 Press Association Chapter 26 Spotify Chapter 27 Telefonica Chapter 28 Twitter Chapter 29 Verizon Chapter 30 Viacom Part 4 - Services, financial and healthcare companies Chapter 31 American Express Chapter 32 Elsevier Chapter 33 Entrupy Chapter 34 Experian Chapter 35 Harley Davidson Chapter 36 Hopper Chapter 37 Infervision Chapter 38 Mastercard Chapter 39 Salesforce Chapter 40 Uber Part 5--Manufacturing, automotive, aerospace and industry 4.0 companies Chapter 41 BMW Chapter 42 GE Chapter 43 John Deere Chapter 44 Kone Chapter 45 Mercedes Benz Chapter 46 NASA Chapter 47 Shell Chapter 48 Siemens Chapter 49 Tesla Chapter 50 Volvo Part 6--Final Words and AI Challenges Chapter 51 Final Words and AI Challenges Index. |
| 520 ## - SUMMARY, ETC. |
| Summary, etc |
"Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce"-- |
| 520 ## - SUMMARY, ETC. |
| Summary, etc |
"Artificial Intelligence in Practice follows the same format as Big Data in Practice, featuring about 50 real world case studies of how companies use artificial intelligence and machine learning today. Like the previous book, the author starts with a general introduction to AI and machine learning and then goes on to individual chapters highlighting companies from some of the world's biggest brands to smaller businesses, covering all sectors and industries. Each chapter follows the same structure ?] 1. overview of company, 2. problem AI is helping to address, 3. how AI was used, 4. technical details, 5. key learning points"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Business planning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Information technology |
| General subdivision |
Management. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
BUSINESS & ECONOMICS / General. |
| Source of heading or term |
bisacsh |
| 655 #0 - INDEX TERM--GENRE/FORM |
| Source of term |
local |
| 9 (RLIN) |
4 |
| Genre/form data or focus term |
Print books. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
| Display text |
Online version: |
| Main entry heading |
Marr, Bernard, author. |
| Title |
Artificial intelligence in practice |
| Edition |
First Edition. |
| Place, publisher, and date of publication |
Hoboken : Wiley, 2019 |
| International Standard Book Number |
9781119548966 |
| Record control number |
(DLC) 2019006926 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
BOOKS |