Role of Industry 5.0 in Enabling Technologies for Manufacturing Systems: A Sustainability and Intelligence Perspective

Rajesh Singh, Anita Gehlot, Shaik Vaseem Akram, Mohammed Ismail Iqbal and Praveen Kumar Malik

Chapter 10 in AI in Finance:Shaping the Future of Intelligent Automation and Financial Services, 2026, pp 233-241 from World Scientific Publishing Co. Pte. Ltd.

Abstract: The manufacturing sector is equipped for a major transformation with the onset of the upcoming Industrial Revolution. The fifth-generation industry enhances client satisfaction while also creating new opportunities for business. In recent years, numerous countries have recognized the necessity of reforming and modernizing their manufacturing sectors, concentrating societal attention on intelligent manufacturing (IM), smart manufacturing (SM), digitization, and networking. Intelligence integration across industries has emerged as an enthralling topic for scholars and businesses globally. Smart manufacturing is a brand-new idea that uses digital innovation to make work smarter and more connected, delivering increased speed and flexibility. An intelligent production system is a hybrid intelligent system that incorporates individuals, virtual systems, and physical components to achieve particular industrial targets. Such systems for production simulation have proven to be a valuable tool for designing and analyzing an industrial process due to their quick analysis, minimal risk, affordable price, and significant information offered by understanding the influence of each component. Robots have grown increasingly significant, as they can link to the human mind via neural networks and advances in artificial intelligence. To compete in this competitive and ever-changing market, enterprises must improve their flexibility, mobility, competitiveness, and sustainability.

Keywords: Artificial Intelligence; AI in Finance; Financial Technology; FinTech; Machine Learning; Deep Learning; Neural Networks; Automation; Robotics; Intelligent Automation; Algorithmic Trading; Robo-Advisors; Predictive Analytics; Data Science; Big Data; Risk Management; Credit Scoring; Fraud Detection; AI Ethics; Responsible AI; AI Governance; Regulatory Compliance; Financial Regulations; Cybersecurity; Blockchain; Cryptocurrencies; Bitcoin; Ethereum; InsurTech; Digital Banking; AI in Banking; AI in Investments; AI in Insurance; AI in Wealth Management; AI in Payments; Natural Language Processing; AI Chatbots; Virtual Assistants; Customer Experience; Personalization; Sentiment Analysis; Credit Risk Modeling; Financial Forecasting; AI-powered Decision Making; Quantitative Finance; Trading Algorithms; High-Frequency Trading; AI in Hedge Funds; AI-driven Market Analysis; Automated Financial Services; Smart Contracts; Digital Assets; AI-driven Portfolio Management; Financial Planning; AI in Asset Management; AI in Lending; AI in Mortgage Industry; Financial Inclusion; Alternative Data; Explainable AI; Model Interpretability; AI and Human Collaboration; AI-driven Credit Analysis; Robo-Trading; Supervised Learning; Unsupervised Learning; Reinforcement Learning; AI-driven Customer Insights; Data-driven Decision Making; Financial Market Predictions; Behavioral Finance; Smart Finance; AI-based Anomaly Detection; Computational Finance; Financial Data Analytics; Financial Fraud Prevention; Future of Work in Finance; AI Strategy in Financial Firms; Financial Risk Analytics; Digital Transformation in Finance (search for similar items in EconPapers)
JEL-codes: C45 D81 G17 G21 O33 (search for similar items in EconPapers)
Date: 2026
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