AI Empowered Digital Business Innovation. Este artículo no está disponible.AI Empowered Digital Business Innovation

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.

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.