Challenges and Opportunities in Artificial Intelligence: Engineering and Management Applications presents a comprehensive exploration of how AI is transforming modern engineering systems and managerial decision-making. The book discusses emerging trends, practical applications, and the evolving role of intelligent technologies in solving real-world problems.
This book examines key domains where Artificial Intelligence is reshaping processes, performance, and innovation. It covers foundational AI concepts, machine learning techniques, intelligent automation, data-driven decision models, and advanced computational methods relevant to engineering disciplines. The chapters highlight AI-enabled solutions in areas such as predictive maintenance, smart manufacturing, robotics, optimization, and sustainable engineering. In management applications, the book addresses AI-supported analytics, decision support systems, workflow automation, and strategic planning powered by big data. It also discusses challenges including ethical concerns, algorithmic transparency, workforce readiness, and cybersecurity risks. Through research-based insights and practical case studies, the book illustrates how AI can enhance efficiency, accuracy, and innovation while also emphasizing the need for responsible and well-governed AI adoption.
This book is intended for researchers, academicians, industry professionals, engineers, and management practitioners seeking to understand the practical integration of AI in real systems. It is also valuable for postgraduate students and policymakers interested in emerging AI technologies, their opportunities, and the strategic challenges associated with their deployment.
This book presents a comprehensive exploration of how AI is transforming modern engineering systems and managerial decision-making. It discusses emerging trends, practical applications, and the evolving role of intelligent technologies in solving real-world problems.
Powered AI based Virtual Assistant using LLM Model A Novel Online Food
Ordering Platform with Special Assistance for Visually Impaired Individuals
Statistical Validation in Cultural Adaptations of Cognitive Tests: A Multi-
Regional Systematic Review Transformative AI Applications in Financial Fraud
Detection: A Novel Approach to protecting Economic Integrity Navigating the
New Workforce: Performance Management and Retention of Generation Z Employees
while Increase of Gig and Freelancing Economy in India Introducing Team Based
Learning as an innovative student centered teaching method and know the
feedback among students in Saveetha College of Nursing, SIMATS The Impact of
Social Media on Young Teenagers Assessing Mobile Tourism Apps: A Research
Review with Scientometric Perspectives Hybrid AI-Microservices Architectures
for Predictive Maintenance in Large-Scale Distributed Systems Methods of
prevention and treatment of COVID-19 in India: An excellent example of
medical tourism Connecting the dots: Leveraging the power of Employer
branding to elevate Employee engagement and Productivity Study of
transmission properties of Quaternary multilayer structure A Study On Stock
Market System Using Statistical Analysis Delay Driven Congestion Control
Approach under Smart Virtual Parallel TCP Application Comparison of Torque
Pulsations mitigation in Power system using PI and Fuzzy controllers with
UPFC and SSSC A review on type 1 diabetes prediction methods A Review on
Application of Soft Computing Techniques on Detection of Plant leaf Diseases
19. Enhancing Fault Tolerance in Microservices with AI-Powered Anomaly
Detection and Prediction Cluster Optimization Scheme for WSN Security and
Lifetime Enhancement Review of modern methods for detection of mental health
using Natural language processing Hybrid Intrusion Detection System for
Real-Time Encrypted Network Traffic Classification in Cloud Environments A
Cutting-Edge Deep Learning Method for Enhancing IoT Security "From Planets to
Profits: The Role of AI and Machine Learning in Financial Astrology"
Cooperation, Collaboration and Competition: Issues of Indian Defence
Indigenisation AI-Driven Microservices for Seamless User Experience in
Multi-Platform Digital Environments Digital and Social Media Marketing for
Homemakers in Entrepreneurship: Obstacles, Solutions, and Development
Bridging the Gap: Aligning Simulation and Real-World Physics for Enhanced
Modeling and Prediction Green Computing: Innovations, Challenges, and Future
Prospects Enhancing Performance in Multipath TCP: A Literature Review
Shweta Mishra, Ph.D. from Banaras Hindu University, Varanasi, is a seasoned editor with 10 years experience and has worked with a range of authors, from emerging voices to established writers, helping to shape compelling narratives and ensure clarity and coherence in their work.
Avneesh Kumar Singh, Ph.D. from Lucknow University in the field of Liquid crystals, has more than 20 years of experience in the teaching and research field.
Pankaj Prajapati is a distinguished researcher and academic in the field of electronics, holding a PhD in Electronics. With over 12 years of experience, he specializes in semiconductor technology and embedded systems, contributing significantly to both academic research and industry applications.
