Challenges and Opportunities in AI by Shweta Mishra (.ePUB)+

File Size: 11.2 MB

Challenges and Opportunities in Artificial Intelligence: Engineering and Management Applications by Shweta Mishra, Avneesh Kumar Singh, Pankaj Prajapati
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Overview: Challenges and Opportunities in Artificial Intelligence: Engineering and Management Applications presents a comprehensive exploration of how Artificial 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. The modern world is racing against Artificial Intelligence and automation. People have created a great deal of these systems to speed up their lives. Nowadays, each of us is holding a device. Everyone wants strong automation in it. Comparably, virtual assistan are present in phones and desktop computers. These assistants employ voice commands to receive user input and carry out various automations, such opening programs and browsers. It responds to the user’s general questions in addition to supporting automation. We also plan to construct a desktop virtual assistant system that uses Python to help with automation and user inquiries. It can recognize speech and has been trained to provide the desired results. 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.
Genre: Non-Fiction > Tech & Devices

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