Applied Artificial Intelligence in Business: concepts and cases / (Record no. 13975)
[ view plain ]
000 -LEADER | |
---|---|
fixed length control field | 02252cam a22002295i 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 180309s2019 gw |||| o |||| 0|eng |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783031057397 |
100 1# - MAIN ENTRY--AUTHOR | |
Author | Chan, L. |
245 10 - TITLE STATEMENT | |
Title | Applied Artificial Intelligence in Business: concepts and cases / |
Statement of responsibility, etc | by Leong Chan, Liliya Hogaboam, and Renzhi Cao |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication | Switzerland |
Name of publisher | Springer |
Date of publication | 2022 |
300 ## - COLLATION | |
Pagination | xvi, 368p. |
Other physical details | Includes Index |
520 ## - SUMMARY, ETC. | |
Summary, etc | This book deals with artificial intelligence (AI) and its several applications. It is not an organic text that should be read from the first page onwards, but rather a collection of articles that can be read at will (or at need). The idea of this work is indeed to provide some food for thoughts on how AI is impacting few verticals (insurance and financial services), affecting horizontal and technical applications (speech recognition and blockchain), and changing organizational structures (introducing new figures or dealing with ethical issues). The structure of the chapter is very similar, so I hope the reader won't find difficulties in establishing comparisons or understanding the differences between specific problems AI is being used for. The first chapter of the book is indeed showing the potential and the achievements of new AI techniques in the speech recognition domain, touching upon the topics of bots and conversational interfaces. The second and thirds chapter tackle instead verticals that are historically data-intensive but not data-driven, id est, the financial sector and the insurance one. The following part of the book is the more technical one (and probably the most innovative), because looks at AI and its intersection with another exponential technology, namely the blockchain. Finally, the last chapters are instead more operative, because they concern new figures to be hired regardless of the organization or the sector, and ethical and moral issues related to the creation and implementation of new type of algorithms. |
650 #0 - TRACINGS | |
Main Subject | Artificial intelligence. |
650 #0 - TRACINGS | |
Main Subject | Big data. |
650 #0 - TRACINGS | |
Main Subject | Computational intelligence. |
650 14 - TRACINGS | |
Main Subject | Computational Intelligence. |
650 24 - TRACINGS | |
Main Subject | Artificial Intelligence. |
650 24 - TRACINGS | |
Main Subject | Big Data/Analytics. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Item type | Books |
050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | HD 30.2 |
Item number | C436 |
Source of classification or shelving scheme | Not for loan | Collection code | Permanent location | Current location | Shelving location | Date acquired | Full call number | Barcode. | Koha item type |
---|---|---|---|---|---|---|---|---|---|
Library of Congress Classification | Non-fiction | Lagos Business School Library | Lagos Business School Library | General Stacks | 16/08/2023 | HD 30.2 C436 | 2023-0538 | Books |