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Artificial Intelligence, Machine Learning and Iot for Smart Business Management - Couverture rigide

 
9781032912004: Artificial Intelligence, Machine Learning and Iot for Smart Business Management

Synopsis

This book investigates the transformative impact of AI, ML, Data Analytics, and IoT on modern business, emphasising their roles in strategic growth, operational efficiency, and data-driven decision-making. Through real-world case studies, strategic frameworks, and ethical considerations, it offers actionable insights for integrating these technologies. Covering emerging trends and responsible adoption, this book is an essential resource for professionals navigating digital transformation and achieving sustainable success.

  • Explore the application of AI, ML, Data Analytics, and IoT within business contexts, emphasising their roles in strategic growth, operational efficiency, and decision-making.
  • Provides methodologies for maximising ROI, mitigating risks, and fostering innovation.
  • Explores predictive modeling, market segmentation, and business intelligence for competitive advantage.
  • Examines cutting-edge automation technologies that optimise processes and enhance workforce efficiency.
  • Investigates neuro-fuzzy systems in financial forecasting to improve predictive accuracy and decision-making.

This book serves as a practical guide for professionals and a reference for scholars, researchers and students of computer science and business management

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Garima Jain is an Assistant Professor and Deputy Head in the Department of Computer Science and Buisness System at Noida Institute of Engineering and Technology, Greater Noida, India. She completed her M.Tech. from Galgotias University, Greater Noida, in 2017. She is pursuing her Ph.D. from Dayalbagh University on Resource Provisioning in Cloud and Edge Computing environment.

Ankush Jain is an Assistant Professor in Department of Computer Science and Engineering, Netaji Subhas University of Technology (Formerly known as NSIT), Main Campus, Dwarka, New Delhi. He completed his Ph.D. and M.Tech. from ABV-Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior. He received his B. Tech. degree in Computer Science and Engineering from Rajasthan Technical University, Kota.

Veena Grover is currently working as Professor in Department of Management at Noida Institute of Engineering & Technology, Greater Noida, UP, India. Prior to this, she has been working as Professor in School of Business, Galgotias University, she has more than 21 years of teaching experience in educational institutions of repute like Lingaya's University, New Delhi Institute of Management, University of Delhi, DAV Institute of Management etc.

Balamurugan Balusamy is presently working as an Associate Dean (Student engagement), Shiv Nadar University. Delhi-National Capital Region (NCR) He has also served up to the position of Associate Professor in his stint of 14 years of experience with VIT University, Vellore. His research focuses on Blockchain and IoT.

Praveen Tomar is a passionate civil servant, researcher and technology enthusiast. He has over 23 years of experience in IT transformation, Data, AI and automation, with a Six Sigma Black Belt certification and multiple publications on low-code digital automation. As the Head of Process Digitisation (Data and AI) at Ofgem, he leads a team of talented professionals who are passionate about enhancing public service delivery and outcomes by harnessing the power of data and automation, while respecting human dignity and values.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

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Garima Jain
Edité par Taylor & Francis Ltd, 2025
ISBN 10 : 1032912006 ISBN 13 : 9781032912004
Neuf Couverture rigide

Vendeur : CitiRetail, Stevenage, Royaume-Uni

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Hardcover. Etat : new. Hardcover. This book investigates the transformative impact of AI, ML, Data Analytics, and IoT on modern business, emphasising their roles in strategic growth, operational efficiency, and data-driven decision-making. Through real-world case studies, strategic frameworks, and ethical considerations, it offers actionable insights for integrating these technologies. Covering emerging trends and responsible adoption, this book is an essential resource for professionals navigating digital transformation and achieving sustainable success.Explore the application of AI, ML, Data Analytics, and IoT within business contexts, emphasising their roles in strategic growth, operational efficiency, and decision-making.Provides methodologies for maximising ROI, mitigating risks, and fostering innovation.Explores predictive modeling, market segmentation, and business intelligence for competitive advantage.Examines cutting-edge automation technologies that optimise processes and enhance workforce efficiency.Investigates neuro-fuzzy systems in financial forecasting to improve predictive accuracy and decision-making.This book serves as a practical guide for professionals and a reference for scholars, researchers and students of computer science and business management This book investigates the transformative impact of AI, ML, Data Analytics, and IoT on modern business, emphasising their roles in strategic growth, operational efficiency, and data-driven decision-making. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781032912004

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