|
|
|
|
LEADER |
02394nmm a2200313 u 4500 |
001 |
EB002135066 |
003 |
EBX01000000000000001273123 |
005 |
00000000000000.0 |
007 |
cr||||||||||||||||||||| |
008 |
221201 ||| eng |
020 |
|
|
|a 9783031165986
|
100 |
1 |
|
|a Kahraman, Cengiz
|e [editor]
|
245 |
0 |
0 |
|a Intelligent Systems in Digital Transformation
|h Elektronische Ressource
|b Theory and Applications
|c edited by Cengiz Kahraman, Elif Haktanır
|
250 |
|
|
|a 1st ed. 2023
|
260 |
|
|
|a Cham
|b Springer International Publishing
|c 2023, 2023
|
300 |
|
|
|a XII, 638 p. 159 illus., 119 illus. in color
|b online resource
|
505 |
0 |
|
|a Literature Review on Digital Transformation -- Safety and Security -- Intelligent Digital Transformation -- Automotive -- Energy -- Smart Manufacturing -- White Goods -- Health -- Banking -- Tourism -- Insurance and Finance -- Education -- Smart Cities -- Transportation -- Future of Digital Transformation
|
653 |
|
|
|a Computational intelligence
|
653 |
|
|
|a Artificial Intelligence
|
653 |
|
|
|a Computational Intelligence
|
653 |
|
|
|a Artificial intelligence
|
700 |
1 |
|
|a Haktanır, Elif
|e [editor]
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
490 |
0 |
|
|a Lecture Notes in Networks and Systems
|
028 |
5 |
0 |
|a 10.1007/978-3-031-16598-6
|
856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-031-16598-6?nosfx=y
|x Verlag
|3 Volltext
|
082 |
0 |
|
|a 006.3
|
520 |
|
|
|a This book states that intelligent digital transformation is the process of using artificial intelligence techniques in digital technologies such as machine learning, natural language processing, automation and robotics to transform existing non-digital business processes and services to meet with the evolving market and customer expectations. This book including 26 chapters, each written by their experts, focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent systems. Intelligent digital transformation examples from almost all sectors including health, education, manufacturing, tourism, insurance, smart cities, banking, energy and transportation are introduced by theory and applications. The intended readers are managers responsible for digital transformation, intelligent systems researchers, lecturers, and MSc and PhD students studying digital transformation
|