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

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)

Ms. 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 P.hD. from Dayalbagh University on Resource Provisioning in Cloud and Edge Computing environment. Ms. Jain has a strong publication record, with research articles and book chapters published in reputable venues. She serves as a reviewer for several journals, including Multimedia Tools and Applications, Financial Innovation, and IJECE. With 7.5 years of experience in teaching and research in various academic institutions in India, Ms. Jain's expertise lies in Time-Series analysis, Technological advancement in Healthcare, Machine Learning, and Blockchain. She has got many appreciation letters & research awards for her teaching, research & administrative skills over the years. She actively contributes to the academic community as a reviewer for international journals, including IEEE Conference, Multimedia Tools and Applications, and Scopus Indexed Conference. Ms. Jain is a member of the Society of Data Science and the International Society of Engineers (IAENG). Her research interests encompass Machine Learning, Artificial Intelligence, Blockchain, Healthcare, and Business Entrepreneurship.

Dr. 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. Earlier, he worked as an Assistant Professor at Indira Gandhi Delhi Technical University for Women (IGDTUW), Delhi. Dr. Jain has published several SCI/SCIE journal papers and book chapters in his area of interest and proficiency in various peer-reviewed international journals of high repute. He serves as a reviewer in various international journals, e.g., IEEE Transactions on Evolutionary Computation, IEEE Transactions on System, Man, and Cybernetics, IEEE Sensors Journal, Information Processing and Management, Expert Systems with Applications, Engineering Application on Artificial Intelligence, IJECE, Soft Computing, and Multimedia Tools and Applications. His research interests include Recommendation Systems, Evolutionary Computation, Computer Vision, Pattern Recognition, and Machine Learning. He is a member of the IEEE, ACM, and Life Member of ISTE and the International Society of Engineers (IAENG).

Dr. 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. She is Gold Medallist & University topper in Economics. She has got many appreciation letters & research awards for her teaching, research & administrative skills over the years. Her research interests include Micro Finance, Sustainability, Macro Economic Variables and Innovation Strategy. Dr. Veena Grover earned her PhD from Department of Business Administration, Deenbandhu Chhotu Ram University of Science & Technology, Murthal (Sonepat). She is also an adjunct faculty member & Thesis supervisor at Westford University, UAE. Her influence extends to the global academic stage, where she has been invited as a distinguished panelist, keynote speaker, and session chair at several prestigious conferences, summits, and seminars. A prolific researcher, Professor Grover has contributed significantly to the academic discourse by presenting and publishing more than 65 research papers and book chapters in esteemed international and national conferences, as well as reputable refereed journals. She serves as an Editor of the refereed journal, International Journal of Advanced Trends in Technology, Management & Applied Science & Reviewer of International Journal of Applied Behavioural Economics. She is also a member of Sustainable Environment and Ecological Development Society (SEEDS)working towards achieving Sustainable Development Goals. She holds 8 patents related to sustainability.

Dr. 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. He has published 80 technology books and over 150 journal and conference papers and book chapters. He serves on the advisory committee for several start-ups and forums and does consultancy work for the industry on Industrial IoT. He has given over 175 talks at events and symposiums. He holds a PhD degree in “Investigations of cloud computing access control techniques” from VIT University, Vellore, India.

Mr. 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. In his previous roles, he has successfully led and executed multiple digital transformation and automation programs for government departments and a global investment bank, using a cloud-first approach, low-code platforms, and data-driven insights. He has also provided expert advisory and consulting support to senior stakeholders, helping them formulate and implement effective digital strategies and efficiency improvement initiatives. Through his work, he contributes to Ofgem's vision of building a better data ecosystem for the UK's Energy sector.

LinkedIn Profile: https://www.linkedin.com/in/praveen-t-3262a12/