Enhancing Operational Efficiency and Predictive Maintenance Through Digital Innovation

In today s industrial landscape, enhancing operational efficiency and implementing predictive maintenance strategies have become critical goals for organizations seeking sustainable growth and competitiveness. Digital innovation has the potential to optimize workflows, reduce downtime, and predict equipment failures. By utilizing real-time data and intelligent systems, companies can move from reactive to proactive maintenance models, streamline operations, and cut costs. Further research into this shift may boost productivity while driving long-term value creation across industries. Enhancing Operational Efficiency and Predictive Maintenance Through Digital Innovation explores the synergistic impact of cutting-edge technologies on our lives. It delves into the interconnected world of devices, the immense data they generate, and the immense potential of advanced analytics and machine learning algorithms to derive valuable insights. This book covers topics such as smart technology, disease detection, and environmental monitoring, and is a useful resource for business owners, engineers, educators, academicians, researchers, and scientists.

Minakshi is an accomplished academician with 18+ years of experience in computer science and engineering domains. Currently an Assistant Professor at King Khalid University, she has taught at esteemed institutions like Uttaranchal University and Tula's Institute. A prolific researcher with 80 Scopus publications, 18 patents, and 3 software copyrights, she has received accolades like Outstanding Section Volunteer Award (IEEE UP Section), Research Excellence Award, and HOD of the Year Award. Adept at curriculum development, research guidance, project management, and team leadership, Dr. Minakshi brings a holistic approach to education, fostering student success through quality instruction and innovative pedagogical methods.

Tarun Kumar is currently working as Assistant Professor in School of Computing Science & Engineering. He has total experience of more than 17 years of teaching and has been associated with Galgotias University since 2017. Along with he is a research scholar in the Department of CSE at the National Institute of Technology Patna, Bihar, India. He is firm Believer of productivity and efficiency in work. He exhibits an honest work ethic with the ability to excel in fast-paced, time-sensitive environment. Being a passionate teacher, he believes that teaching is not merely restricted to making the students understand the underlying concepts of a course but also to develop critical thinking and evaluate alternate approaches for problem solving. He always put his efforts towards the overall developments of his students. His research interest area is Cloud Computing, DNA Computing. He has published several papers in peer reviewed journal and international conferences. He also organized and attended several workshops and conferences.