Applications of AI and LLMs in Production and Services Industries

Dr. Prashant Upadhyay (SMIEEE, MACM, MIFERP) is an Assistant Professor at School of Computer Science Engineering and Technology, Bennett University, Greater Noida, U.P., India. He is currently a Postdoctoral Research Fellow at NKUST in Taiwan. He received his PhD in CSE from Gautam Buddha University, Greater Noida, U.P., India. He has more than 8 years of teaching and research experience. He published more than 48 research papers in internationally reputed journals and conferences indexed in Web of Science and SCOPUS. He has Edited 6 books for IGI Global, 4 books for CRC, 1 Book for Wiley, 1 book for Elsevier and 7 books for Bentham Science. He served as session chair in- GTSS-2026, ICDT-2024, ICDETGT-2023, and ICDT-2023. He has authored a book for Wiley Publication- Introduction to Python, ISBN: 978-93-5746-219-8. He has published nine Indian patents and received four design grants.Pancham Singh (IEEE) is working as an Assistant Professor in the Department of Information Technology at AKGEC, Ghaziabad since 2007. He has over 18 years of teaching experience and one year of industry experience. He completed his B.Tech. in Computer Science & Engineering from Dr. A.P.J. Abdul Kalam Technical University (formerly UPTU), Lucknow, in 2005. He earned a Master's Degree in Information Technology from RTU, Kota, in 2013. Currently, he is pursuing a Ph.D. at Netaji Subhas University of Technology (NSUT), New Delhi, since January 2023. He has written and edited five books in Computer Science and Engineering. He has Presented/Published more than 45 papers in reputed International Conferences and Journals and also reviewed more than 100 research papers. Mr. Singh has published more than 35 National and International Patents, 6 Design Grants and 1 Utility Grant. He was a Session Chair several Conference and Journals. He worked as a timetable in-charge for over 13 years and a media in-charge for over 8 years. He performed Flying Squad Duty many times for AKTU as an In-charge and team member. He has attended more than 50 Faculty Development Programs (FDPs) and at national and international levels. He worked as an in-charge for NBA and NAAC accreditation at AKGEC. His research interests include Machine Learning, Deep Learning, Blockchain, the Internet of Things, and Software Engineering.Dr. Satya Prakash Yadav (FIETE & SMIEEE) is currently the Associate Professor of the Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, U.P. , India. He is also as Associate Dean R &D and Professional Practices. Dr. Yadav has done his Postdoctoral Research Fellow from Federal Institute of Education, Science and Technology of Ceará, Brazil. He has awarded his PhD degree from Dr. A.P.J. Abdul Kalam Technical University (AKTU) (formerly UPTU). Currently, 4 students are working for Ph.D. under his guidance. A seasoned academician having more than 18 years of experience, he has published four books (Programming in C, Programming in C++ and Blockchain and Cryptocurrency) under I.K. International Publishing House Pvt. Ltd. Including Distributed Artificial Intelligence: A Modern Approach, Published December 18, 2020 by CRC Press. He has undergone industrial training programs during which he was involved in live projects with companies in the areas of SAP, Railway Traffic Management Systems, and Visual Vehicles Counter and Classification (used in the Metro rail network design). He is an alumnus of Netaji Subhas Institute of Technology (NSIT), Delhi University. A prolific writer, Dr. Satya Prakash Yadav has published six patents and authored many research papers in web of science indexed journals. Additionally, His area of specialisation is in the areas of Image Processing, Information retrieval and Features extraction. Also, he is a Editor in Chief in Journal of Cyber Security in Computer System & Journal of Soft Computing and Computational Intelligence (MAT journals), Series Editor in DeGruyter International Publisher, Bentham Science and CRC Press, Taylor and Francis Group Publisher (U.S.A).

• 1. Introduction to AI and LLM in Production and Services. 2. AI Application in Production System. 3. Role of LLMs in Service Industries. 4. Generative AI in Production and Services. 5. Predictive Analysis and Decision Making. 6. Enhancing Operational Efficiency through Artificial Intelligence and Large Language Models. 7. Automation and Smart Manufacturing. 8. LLM Applications for Customer Experience. 9. Ethical and Societal Considerations. 10. Case Studies in AI and LLM Integration. 11. Future Trends in AI and LLMs Technologies. 12. Conclusion and Roadmap for AI and LLM. 13. Future Trends in AI and LLMs. 14. Case Studies in AI and LLM Integration. 15. From Automation to Augmentation: Enhancing Operational Efficiency with AI and LLMs. 16. Harnessing Artificial Intelligence and Large Language Models for Automation and Smart Manufacturing in Production and Service Industries. 17. Blockchain Technology with Artificial Intelligence Technology in Computer Information Security. 18. Applications of Deep Learning Technology for Mobile Computing. 19. Increasing Resilience and Fortifying Organizational Cybersecurity Provision with the Use of Sociocultural and Artificial Intelligence.