Challenges and Opportunities in Artificial Intelligence

Engineering and Management Applications
1. Auflage 2026
ISBN: 978-1-041-31882-8
Verlag: Taylor & Francis Ltd

Buch, Englisch, 140 Seiten, Format (B × H): 210 mm x 280 mm

Challenges and Opportunities in Artificial Intelligence: Engineering and Management Applications presents a comprehensive exploration of how Artifical Intelligence (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 AI 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.

Zielgruppe

Academic and Undergraduate Core

Autoren/Hrsg.

Mishra, Shweta

Singh, Avneesh Kumar

Prajapati, Pankaj

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge

Inhaltsverzeichnis

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

Über Autor(innen)

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.