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The Executive Guide to Artificial Intelligence (Record no. 61195)

MARC details
000 -LEADER
fixed length control field 04386nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-3-031-50722-9
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030112344.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240701s2024 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031507229
-- 978-3-031-50722-9
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-50722-9
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HD45
072 #7 - SUBJECT CATEGORY CODE
Subject category code KJD
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code BUS041000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code KJD
Source thema
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Burgess, Andrew.
Relator term author.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
9 (RLIN) 79709
245 14 - TITLE STATEMENT
Title The Executive Guide to Artificial Intelligence
Medium [electronic resource] :
Remainder of title Cutting Through the Hype - How to get the most from AI in your Organization /
Statement of responsibility, etc. by Andrew Burgess.
250 ## - EDITION STATEMENT
Edition statement 2nd ed. 2024.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Palgrave Macmillan,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent XIII, 176 p. 14 illus.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Don’t Believe the Hype -- 2. Why Now? -- 3. AI Capabilities Framework -- 4. Associated Technologies -- 5. AI in Action -- 6. Starting an AI Journey -- 7. AI Prototyping -- 8. What Could Possibly Go Wrong? -- 9. Industrialising AI -- 10. Living with AI -- 11. Where Next for AI?.
520 ## - SUMMARY, ETC.
Summary, etc. This book, now in a thoroughly revised and updated second edition, takes a pragmatic and hype–free approach to explaining artificial intelligence and how it can be utilised by businesses today. At the book's core is a framework which describes, in nontechnical language, the nine core capabilities of Artificial Intelligence (AI). Each of these capabilities, ranging from image recognition, through prediction, to Generative AI, is explained using real–life examples and how they can be applied in a business environment. The advent of Large Language Models has put AI front and centre of Board discussions. AI has the ability to deliver step–change benefits to organisations and enables forward–thinking business leaders to rethink their business models or create completely new businesses. But most of the real value of AI is hidden behind marketing hyperbole, confusing terminology, inflated expectations and dire warnings of ‘robot overlords’. Any business executive who wants to know how to exploit AI in their business today is left confused and frustrated. As an advisor in AI, Andrew Burgess regularly comes face–to–face with business executives who are struggling to cut through the AI and LLM hype. The knowledge and experience he has gained in advising them has provided him with the skills to help business executives understand what AI is and how they can exploit its many benefits. Through the distilled knowledge included in this book, business leaders will be able to take full advantage of this most disruptive of technologies and create substantial competitive advantage for their companies. A management consultant, author and speaker with over 30 years’ experience, Andrew is considered an authority on Artificial Intelligence. Through his business, GreenhouseAI, he advises organisations on their AI strategy, its application in business and its ethics, and is regularly invited to speak at conferences on these subjects. He is Visiting Senior Fellow in AI at Loughborough University and Expert-in-Residence for AI at Imperial College’s Enterprise Lab. He is a member of the AI Committee at the British Standards Institute.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 59244
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 58353
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 57941
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 58441
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 66187
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 58441
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031507212
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031507236
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-50722-9">https://doi.org/10.1007/978-3-031-50722-9</a>
912 ## -
-- ZDB-2-BUM
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-- ZDB-2-SXBM

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