
Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence
Author(s): Kamal Kant Hiran (Editor), K. Hemachandran (Editor), Anil Pise (Editor), B. Justus Rabi (Editor)
- Publisher: IGI Global
- Publication Date: 4 April 2023
- Language: English
- Print length: 359 pages
- ISBN-10: 1668465191
- ISBN-13: 9781668465196
Book Description
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.Editorial Reviews
About the Author
Hemachandran Kannan holds the Area Chair of the Analytics Department at Woxsen University. Dr. Hemachandran is an Advisory board member at APT AI Labs, LLC. He has been a passionate teacher with 15 years of teaching experience and 5 years of research experience. He served as an effective resource person at various national and international scientific conferences and also gave lectures on topics related to Artificial Intelligence. He was bestowed as Best faculty at Woxsen University in 2021-2022 and also in Ashoka Institute of Engineering & Technology in 2019 – 2020. He is having rich working experience in Natural Language Processing, Computer Vision, Building Video recommendation systems, Building Chatbots for HR policies and Education Sector, Automatic Interview processes, and Autonomous Robots. He is working on various real-time use cases and projects in collaboration with Industries such as Advertflair, LLC, Course5i and Apstek Corp. He has organized many International Conferences, Hackathons and Ideathon. An open-ended positive person who has a stupendous peer-reviewed publication record with more than 35 journals and international conference publications.
Dr Anil Pise is a Research Scholar and Senior Data Scientist with a demonstrated track record of utilizing AI and Machine Learning in a range of domains and leading small to mid-sized Data Science teams for several years. He is a Google and AWS Cloud Platform expert, as well as an expert in SQL, Oracle Database, Python, Scala, R, Azure, AWS, and LaTeX. He is a data scientist and machine learning expert with a background in relational networks and education. He has published research papers and book chapters in a variety of journals and gave presentations on Deep Learning, the Internet of Things, and Blockchain at international and national conferences. His research interests include deep learning, artificial intelligence, machine learning, relational reasoning and relational networks, and data science. He is a Strong information technology professional with a Doctor of Philosophy (PhD) focused in Machine Learning, Computer Science from University of the Witwatersrand Johannesburg, South Africa.
Justus Rabi is principal and professor in the department of EEE at Christian College of Engineering and Technology, and currently he has 25 years of teaching experience.
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