Neuware - Transforming Management Using Artificial Intelligence Techniques redefines management practices using artificial intelligence (AI) by providing a new approach. It offers a detailed, well-illustrated treatment of each topic with examples and case studies, and brings the exciting field to life by presenting a substantial and robust introduction to AI in a clear and concise manner.It provides a deeper understanding of how the relevant aspects of AI impact each other's efficacy for better output. It's a reliable and accessible one-step resource that introduces AI; presents a full examination of applications; provides an understanding of the foundations; examines education powered by AI, entertainment, home and service robots, healthcare re-imagined, predictive policing, space exploration; and so much more, all within the realm of AI.This book will feature:Uncovering new and innovative features of AI and how it can help in raising economic efficiency at both micro- and macro levelsBoth the literature and practical aspects of AI and its usesThis book summarizing key concepts at the end of each chapter to assist reader comprehensionCase studies of tried and tested approaches to resolutions of typical problemsIdeal for both teaching and general-knowledge purposes.This book will also simply provide the topic of AI for the readers, aspiring researchers and practitioners involved in management and computer science, so they can obtain a high-level of understanding of AI and managerial applications.

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Detalles bibliogr�ficos

T�tulo: Transforming Management Using Artificial Intelligence Techniques
Editor: CRC Press Nov 2020
Fecha de publicaci�n: 2020
Idioma: Ingl�s
ISBN 10: 0367456370
ISBN 13: 9780367456375
Encuadernaci�n: Buch
Estado: Neu
Dimensiones: 240�mil�metros de ancho por 161 de alto por 16 de largo
Peso: 493 gramos

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Sinopsis

This book redefines management practices using Artificial Intelligence by providing a new approach. It offers a detailed, well-illustrated treatment of each topic with examples and case studies and brings the exciting field to life by presenting a substantial and robust introduction to Artificial intelligence in a clear and concise manner.

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Dr. Vikas Garg is Assistant Director, Executive Programs Management at Amity University Uttar Pradesh India, Greater Noida Campus. He is Ph.D and UGC NET qualified with 15+ years of academic experience. His areas of specialization are Accounting and Finance. He has major interest in Financial Markets, Financial Reporting and Analysis. He is lifetime member of Indian Commerce Association, Indian Accounting Association, Indian Management Association. He is certified in Customer Relationship Management from IIM, Bangalore. He has got published numerous research papers in various Scopus and ABDC indexed International and national journals. He has many Books, Copyrights and Patents to his credit. He has organized many National and International Conferences. He is associated with several Universities as an external guide for research scholars and has conducted many workshops in institutions of repute.

Dr. Rashmi Agrawal is PhD and UGC-NET qualified with 18+ years of experience in teaching and research, working as Professor in Department of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad, India. She is associated with various professional bodies in different capacity, life member of Computer Society of India, senior member IEEE, ACM CSTA and senior member of Science and Engineering Institute (SCIEI). She is book series editor of Innovations in Big Data and Machine Learning, CRC Press, Taylor and Francis group, USA. She has authored/ coauthored many research papers in peer reviewed national/international journals and conferences which are SCI/SCIE/ESCI/SCOPUS indexed. She has also edited/authored books with national/international publishers (Springer, Elsevier, IGI Global, Apple Academic Press, and CRC Press) and contributed chapters in books edited by Springer, IGI global, Elsevier and CRC Press. Currently she is guiding PhD scholars in Sentiment Analysis, Educational Data Mining, Internet of Things, Brain Computer Interface, Web Service Architecture and Natural language Processing. She is also an active reviewer and editorial board member in various journals of repute.

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