Ai Empowered Digital Business Innovation - Couverture rigide

Kulkarni, Parag; Rajasekera, Jay; Chaudhuri, Bidyut Baran

Couverture rigide

ISBN 10 : 9819655927 ISBN 13 : 9789819655922

Editeur : Springer Nature Switzerland AG, 2025

Synopsis

Digital business innovation is not simply about using new technologies and upgrading business plans but about upgrading your strategic thinking and embedding AI in the thought process. This book covers digital technologies and the strategic landscape of digital entrepreneurship. It elaborates how AI advances converge to create new learning and business opportunities. It includes digital business innovation technologies, AI strategies for businesses, and learning and collaborative learning strategies. Digital business innovation empowers business or changes the paradigm of business and at times redefines it with intelligent technologies. This in turn helps organizations and businesses create better value for customers and address problems that were not possible to address in the past. Digital business innovation can be approached at three levels to increase contextual participation. It includes focused business innovation, strategic AI innovation, and intelligent implementation. The book contains real-life stories of digital business innovation from companies in countries such as Japan, the USA, India, and Singapore. The authors have contributed and witnessed these technological innovations, and hence bring first-hand experience to help readers participate in this journey. It is the journey to create new success stories through AI research that empowers business transformation.

A propos du livre

À propos de l'auteur

Parag (PhD, DSc) is an entrepreneur, AI/ML researcher, professor at Tokyo International University and author of best-selling innovation strategy and AI books. He holds Ph.D. from IIT Kharagpur, Management Education from IIM Kolkata, and was conferred higher doctorate D.Sc. by UGSM Monarch Business School, Switzerland. Parag’s AI ideas resulted in commercially successful pioneering products to deliver unprecedented value. He contributed to the success of over two dozen startups through his research and paradigm shifting strategies.  Parag headed research labs of many companies including IDeaS, Capsilon, SAC Siemens, etc and was the research brain behind  two 100+ million dollar acquisition success stories. Founder, chief scientist and advisor of iKnowlation Research Lab, Parag exited two startups successfully. Parag has published over 300+ research papers, invented over a dozen patents and authored 16 books. His book “Knowledge Innovation Strategy” was listed as a game-changing business book by Hindustan Times. Fellow of IETE and The IET, Parag was the first Ph.D. guide in Computer Engineering at COEP Technological University Pune and has guided 20 Ph.D. candidates.

Dr. Jay Rajasekera’s specialties are in digital business and computer algorithms. He is currently the vice president and dean of Graduate School of Business and Commerce at Tokyo International University. He started his career at AT&T Bell Laboratories in New Jersey, USA, following his Ph.D. in Operations Research and Computer Science. While at Bell Laboratories he designed and patented the computer algorithm for the construction of the world's first undersea fiber optic cable TAT-8 between USA and Europe; world’s first demonstrations of the Internet too were done using this cable. From 1995 to 2017, he was with the International University of Japan, holding various positions. In 2018, he moved to Tokyo International University and contributed to establish new Digital Business and Innovation (DBI) program. In 2023, he and his team won a global AI competition, which led to applying AI for issuing cyber alerts for one of top global airports. Companies he had offered consulting include IBM, Fujitsu and Hitachi. 

Prof. Chaudhuri retired from Indian Statistical Institute, Kolkata, India as INAE Distinguished Professor and J C Bose Fellow in 2018 and acted as Pro VC of Techno India University for five years. Currently, he is a distinguished Emeritus pProfessor at Techno India University and visiting professor of several other Universities. His research areas of interest are AI and machine learning in computer sciences, especially in pattern recognition, computer vision, natural language processing and their applications in various fields. He published more than 450 papers, authored or edited 10 books in these domains. He also authored several patents and acted as chief investigator of externally funded projects like UNDP, Indo-European, Indo-German and Indo-France and many domestic projects. He is a life fellow of IEEE and fellow of IAPR, AAIA, TWAS, INSA, INAE, INASc, IETE, etc.

À propos de la quatrième de couverture

Digital business innovation is not simply about using new technologies and upgrading business plans but about upgrading your strategic thinking and embedding AI in the thought process. This book covers digital technologies and the strategic landscape of digital entrepreneurship. It elaborates how AI advances converge to create new learning and business opportunities. It includes digital business innovation technologies, AI strategies for businesses, and learning and collaborative learning strategies. Digital business innovation empowers business or changes the paradigm of business and at times redefines it with intelligent technologies. This in turn helps organizations and businesses create better value for customers and address problems that were not possible to address in the past. Digital business innovation can be approached at three levels to increase contextual participation. It includes focused business innovation, strategic AI innovation, and intelligent implementation. The book contains real-life stories of digital business innovation from companies in countries such as Japan, the USA, India, and Singapore. The authors have contributed and witnessed these technological innovations, and hence bring first-hand experience to help readers participate in this journey. It is the journey to create new success stories through AI research that empowers business transformation.

Détails de l'édition

• Éditeur: Springer Nature Switzerland AG
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 9819655927
• ISBN 13: 9789819655922
• Reliure: Relié
• Nombre de pages: 166
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Allemagne