Ai Driven Approaches For Fully Automated Smart Engineering
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AI-Driven Approaches for Fully Automated Smart Engineering
The current dynamic advances in the field of artificial intelligence (AI), smart computation, M-commerce, and fast internet are transforming the landscape of engineering and manufacturing. The rise of AI-enabled fully automated smart engineering and smart manufacturing brings great challenges and opportunities to engineering and manufacturing practitioners. The mastery of effective transformation and applications of AI and ultra-smart computational technologies in the field of engineering and manufacturing is essential for decision makers in the industry. AI-Driven Approaches for Fully Automated Smart Engineering explores the current state of automated engineering and manufacturing. This book discusses the innovation and development of next generation of ultra-smart fully automated engineering and manufacturing. Covering topics such as deep learning, manufacturing, and sustainability, this book is an excellent resource for engineers, industry decision makers, practitioners, researchers, innovators, developers, educators, academicians, and more.
Artificial Intelligence for Safety and Reliability Engineering
This book is a comprehensive exploration of the latest theoretical research, technological advancements, and real-world applications of artificial intelligence (AI) for safety and reliability engineering. Smart manufacturing relies on predictive maintenance (PdM) to ensure sustainable production systems, and the integration of AI has become increasingly prevalent in this field. This book serves as a valuable resource for researchers, practitioners, and decision-makers in manufacturing. By combining theoretical research, practical applications, and case studies, it equips readers with the necessary knowledge and tools to implement AI for safety and reliability engineering effectively in smart manufacturing contexts.
Smart Finance: Artificial Intelligence, Regulatory Compliance, and Data Engineering in the Transformation of Global Banking
Author: Srinivasarao Paleti
language: en
Publisher: Deep Science Publishing
Release Date: 2025-05-07
Global banking is in the midst of a profound digital transformation. Emerging technologies, changing customer expectations, and evolving regulatory frameworks are forcing financial institutions to rethink how they operate, compete, and deliver value. Smart Finance: AI, Regulatory Compliance, and Data Engineering in the Transformation of Global Banking examines the forces reshaping the financial services industry and presents a comprehensive roadmap for leveraging artificial intelligence, advanced data engineering, and regulatory technologies (RegTech) to build resilient, future-ready banking systems. Artificial intelligence has moved beyond experimentation into mainstream adoption in banking—from automating credit scoring and fraud detection to powering conversational banking and algorithmic trading. Meanwhile, the explosion of data and the need for secure, compliant, and real-time processing have made data engineering and governance foundational to any modern financial operation. As institutions navigate increasingly complex regulations and heightened scrutiny, the role of AI and automation in compliance management has become not only strategic but essential. This book brings together the technological, regulatory, and operational dimensions of smart finance. It explores how AI-driven analytics and decision systems are unlocking new opportunities in risk management, customer personalization, and financial planning. It also highlights the critical importance of robust data pipelines, scalable architectures, and integrated compliance frameworks in ensuring trust, transparency, and efficiency in global banking operations. With real-world examples, case studies, and forward-looking insights, this book is designed for banking professionals, technology leaders, data scientists, and policymakers seeking to understand and harness the transformative potential of intelligent finance. It does not merely chronicle innovation—it provides actionable strategies for thriving in a digital-first, regulation-intensive landscape. As the global banking industry stands at a pivotal crossroads, the convergence of AI, compliance, and data engineering offers a unique opportunity: to redefine finance as more intelligent, inclusive, and secure. This book is both a guide and a vision for that future.