Affiliation:
1. G.H. Raisoni College of Engineering, Nagpur, India
Abstract
The combination of artificial intelligence (AI) and digital twin technology is reshaping businesses' approach to data. This chapter explores the transformative potential of AI-driven data analytics within digital twins, focusing on its implications for forward looking enterprises. The study delves into the intricate relationship between AI and digital twins, illustrating how AI-driven data analytics enhances digital twin capabilities. The authors substantiate the findings with real-world case studies, demonstrating how this integration optimizes operational efficiencies, minimizes downtime, and elevates product quality. Ethical and privacy considerations in this context are examined. The key findings highlight how real-time insights, predictive modelling skills, and well-informed decision support are provided to digital twins by AI-driven data analytics. Businesses are urged to take use of these synergies to gain a competitive edge, and researchers should look into ways to make AI models transparent and understandable.
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