Artificial Intelligence, Machine Learning and IoT for Smart Business Management

1. Auflage 2025
ISBN: 978-1-032-91200-4
Verlag: Taylor & Francis Ltd

Buch, Englisch, 264 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Artificial Intelligence, Machine Learning, Data Analytics and Automation for 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. 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

Zielgruppe

Academic

Autoren/Hrsg.

Jain, Ankush

Jain, Garima

Balusamy, Balamurugan

Grover, Veena

Tomar, Praveen

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Webprogrammierung
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge

Inhaltsverzeichnis

- Evolution of AI, ML, and IoT in Business Management 2. Strategic Implementation of AI for Business Advancement 3. ML Techniques for Business Intelligence & Decision Making 4. Operational Excellence through AI, ML, and IoT 5. Technical Analysis for Traders: Stock Price Prediction 6. Future Trends and Ethical Considerations in AI, ML, and IoT 7. Voice-Assisted Chatbots in Enhancing CRM in Modern Marketing for Small Businesses 8. IoT Applications in Business Operations 9. Robotic Process Automation: Streamlining Business Processes for Operational Excellence 10. Intelligent Forecasting Models Based on Neuro-Fuzzy Systems 11. Customer Churn Prediction Using Machine Learning 12. Intelligent Techniques: Fuzzy Logic and Computational Techniques

Über Autor(innen)

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.