國立虎尾科技大學 |

Harnessing AI, machine learning, and IoT for intelligent business.. Volume 2

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Harnessing AI, machine learning, and IoT for intelligent business./ edited by Allam Hamdan, Udo Braendle.
其他作者:	Hamdan, Allam.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xii, 693 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Artificial intelligence. -
電子資源:	https://doi.org/10.1007/978-3-031-66218-8
ISBN:	9783031662188

Harnessing AI, machine learning, and IoT for intelligent business.. Volume 2
Harnessing AI, machine learning, and IoT for intelligent business.Volume 2[electronic resource] /edited by Allam Hamdan, Udo Braendle. - Cham :Springer Nature Switzerland :2024. - xii, 693 p. :ill. (some col.), digital ;24 cm. - Studies in systems, decision and control,v. 5502198-4190 ;. - Studies in systems, decision and control ;v. 2. .

This book addresses the growing need for understanding the practical implications of these technologies in the context of financial management. The convergence of AI, ML, and IoT has revolutionized various industries, and business management and finance are no exceptions. This book equips both academics and industry professionals with the knowledge and tools necessary to navigate the changing landscape and effectively harness these technologies to gain a competitive edge. "Intelligent Business" is a comprehensive guide that explores the integration of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) in the realm of business management and finance. This book delves into the transformative potential of these technologies and provides valuable insights into their application in decision-making, risk management, financial analysis, and strategic planning. It offers a holistic perspective on how organizations can leverage AI, ML, and IoT to drive innovation, enhance operational efficiency, and achieve sustainable growth in the digital age.

ISBN: 9783031662188

Standard No.: 10.1007/978-3-031-66218-8doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: HF5548.2

Dewey Class. No.: 650.028563

Harnessing AI, machine learning, and IoT for intelligent business.. Volume 2
LDR:02220nam a2200349 a 4500 001 1138314
003 DE-He213
005 20241016125734.0
006 m d
007 cr nn 008maaau
008 250117s2024 sz s 0 eng d
020 $a 9783031662188 $q (electronic bk.)
020 $a 9783031662171 $q (paper)
024 7 $a 10.1007/978-3-031-66218-8 $2 doi
035 $a 978-3-031-66218-8
040 $a GP $c GP
041 0 $a eng
050 4 $a HF5548.2
072 7 $a TJF $2 bicssc
072 7 $a UYZ $2 bicssc
072 7 $a TEC067000 $2 bisacsh
072 7 $a TJF $2 thema
072 7 $a UYZ $2 thema
082 0 4 $a 650.028563 $2 23
090 $a HF5548.2 $b .H289 2024
245 0 0 $a Harnessing AI, machine learning, and IoT for intelligent business. $n Volume 2 $h [electronic resource] / $c edited by Allam Hamdan, Udo Braendle.
260 $a Cham : $c 2024. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a xii, 693 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4190 ; $v v. 550
520 $a This book addresses the growing need for understanding the practical implications of these technologies in the context of financial management. The convergence of AI, ML, and IoT has revolutionized various industries, and business management and finance are no exceptions. This book equips both academics and industry professionals with the knowledge and tools necessary to navigate the changing landscape and effectively harness these technologies to gain a competitive edge. "Intelligent Business" is a comprehensive guide that explores the integration of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) in the realm of business management and finance. This book delves into the transformative potential of these technologies and provides valuable insights into their application in decision-making, risk management, financial analysis, and strategic planning. It offers a holistic perspective on how organizations can leverage AI, ML, and IoT to drive innovation, enhance operational efficiency, and achieve sustainable growth in the digital age.
650 0 $a Artificial intelligence. $3 559380
650 0 $a Machine learning. $3 561253
650 0 $a Business $x Data processing. $3 565427
650 0 $a Internet of things. $3 1023130
650 1 4 $a Human-Machine Interfaces. $3 1389715
650 2 4 $a Electrical and Electronic Engineering. $3 1388937
650 2 4 $a Artificial Intelligence. $3 646849
700 1 $a Hamdan, Allam. $e editor. $3 1351773
700 1 $a Braendle, Udo C. $3 1461986
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Studies in systems, decision and control ; $v v. 2. $3 975418
856 4 0 $u https://doi.org/10.1007/978-3-031-66218-8
950 $a Engineering (SpringerNature-11647)