AI-POWERED DIGITAL TWINS IN MANUFACTURING: FROM CONCEPT TO COMPETITIVE DIFFERENTIATOR

Session details:

Digital Twins are no longer a futuristic concept. With AI and accelerated computing, they are now at the heart of high-performance manufacturing. Leading manufacturers such as BMW, GM and Renault are using Digital Twins to reduce downtime, increase efficiency and enable real-time decision-making.

This paper explores how AI-powered Digital Twins are reshaping modern manufacturing, backed by industry examples, measurable ROI and implementation strategies. As the landscape of manufacturing continues to evolve, the integration of AI-powered Digital Twins becomes essential for staying competitive. This paper also delves into potential challenges and best practices for organizations looking to adopt this transformative technology. By examining case studies and highlighting successful implementations, the aim is to provide a comprehensive guide for companies that are considering this shift.

Ultimately, embracing AI-powered Digital Twins could enhance operational performance and drive innovation across the entire manufacturing sector. This paper also outlines key technological foundations, emerging trends and familiar challenges companies face when adopting these systems. Additionally, the paper explores the importance of fostering a culture of collaboration and continuous learning within organizations to maximize the benefits of these advanced technologies. By addressing both the technical and human aspects of implementation, the intent is to equip businesses with the insights needed to navigate this evolving landscape effectively.