Artificial intelligence (AI) is influencing the future of almost every sector and human being. AI has been the primary driving force behind emerging technologies such as big data, blockchain, robots, and the internet of things (IoT), and it will continue to be a technological innovator for the foreseeable future. New algorithms in AI are changing business processes and deploying AI-based applications in various sectors.
The Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence is a comprehensive reference that presents cases and best practices of AI and knowledge engineering applications on business intelligence. Covering topics such as deep learning methods, face recognition, and sentiment analysis, this major reference work is a dynamic resource for business leaders and executives, IT managers, AI scientists, students and educators of higher education, librarians, researchers, and academicians.
Author Biography:
Kamal Hiran is an Innovative and Enthusiastic Academic Professional having more than 14 years of experience in Academic Administration, Teaching and Research experience in India, Europe, and Africa. The editor has worked on various academic positions such as Lecturer, Sr. Lecturer, Asst. Professor, Associate Professor, Head IT, Head Academics, Founder, IEEE Liberia, IEEE Ghana Technical & Professional Activity Chair, IEEE SB Coordinator. The editor has done the tie-up with Academic-Industry collaboration as part of jobs such as Turnitin (Plagiarism Checker), Founder IEEE Student Branch, Ghana, and Oracle WDP. The editor has published and presented research papers in peer-reviewed journals as well as international conferences in India, Denmark, USA, Germany, Jordan, Ghana, and Ethiopia. Working as a Reviewer and Member in the International Program Committee in the International Journals: Journal of Medical and Biological Engineering (JMBE), Springer, Germany, IJCA USA, IGI-Global USA, and IJERT, India.
