Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence
Language: English
Published by IGI Global, 2023
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 516.05
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…
Seller Inventory # 9781668465196
- Title
- Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence
- Author
- Kamal Kant Hiran
- Publisher
- IGI Global
- Publication year
- 2023
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1668465191
- ISBN 13
- 9781668465196
- Item weight
- 1,233 grams
- Dimensions
- 286x221x25 mm
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.
"Synopsis" may belong to another edition of this title.
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.
"About the title" may belong to another edition of this title.
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