Managerial Perspectives on Intelligent Big Data Analytics

Nonfiction, Computers, Advanced Computing, Management Information Systems, Database Management, General Computing
Cover of the book Managerial Perspectives on Intelligent Big Data Analytics by , IGI Global
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781522572794
Publisher: IGI Global Publication: February 22, 2019
Imprint: Engineering Science Reference Language: English
Author:
ISBN: 9781522572794
Publisher: IGI Global
Publication: February 22, 2019
Imprint: Engineering Science Reference
Language: English

Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers, and industry professionals in fields that include big data, artificial intelligence, computing, and commerce.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers, and industry professionals in fields that include big data, artificial intelligence, computing, and commerce.

More books from IGI Global

Cover of the book E-Commerce for Organizational Development and Competitive Advantage by
Cover of the book Immigration and Refugee Policy by
Cover of the book Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing by
Cover of the book Integration of Cloud Technologies in Digitally Networked Classrooms and Learning Communities by
Cover of the book Handbook of Research on Program Development and Assessment Methodologies in K-20 Education by
Cover of the book Multimedia Services and Applications in Mission Critical Communication Systems by
Cover of the book World University Rankings and the Future of Higher Education by
Cover of the book Economic Growth in Latin America and the Impact of the Global Financial Crisis by
Cover of the book Quality Innovation by
Cover of the book Agricultural Finance and Opportunities for Investment and Expansion by
Cover of the book Empirical Research on Semiotics and Visual Rhetoric by
Cover of the book Cases on Usability Engineering by
Cover of the book Operations Management Research and Cellular Manufacturing Systems by
Cover of the book Developments in Engineering Education Standards by
Cover of the book Fuzzy Logic Dynamics and Machine Prediction for Failure Analysis by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy