Artificial Intelligence (AI) is redefining the role of Digital Twins in manufacturing. By combining real-time production data with advanced machine learning models, manufacturers can simulate complex scenarios, predict failures, and optimize operations with unprecedented precision. This presentation explores how AI enhanced Digital Twins create value across the factory floor, from predictive maintenance and process optimization to resource efficiency and sustainability. Through case studies and practical examples, we will uncover how manufacturers can accelerate digital transformation and drive measurable business outcomes.
In this session you will learn,
- How to integrate AI into Digital Twin architectures to enhance prediction and decision making
- How AI enabled simulations can optimize production planning, quality assurance, and supply chain resilience
- How manufacturers can achieve cost savings, efficiency gains, and sustainability benefits through AI powered Digital Twins
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