(Panel) Combining IT & OT: Creating & Deploying Digital Twins to Solve Real-World Problems

A convergence of technologies around 4D modeling and real-time data analysis have accelerated the evolution of comprehensive digital twins, or synchronized virtual replicas of real-world assets, processes, people, and systems. Digital twin technology is proving valuable across industries for decision making, performance prediction, product innovation, and more. In this session, end users share their experiences of the digital twin ecosystem.

• Simulation model vs. digital twin vs. digital triplet
• Types of digital twins: Component, asset, system, and process twins
• Enabling tech: Reality capture, IoT/RTD (real-time data), AI/ML, advanced computing, XR, etc.
• Data sources: Historical data, sensor data, supplier information, ERPs, etc.
• Applications: Simulate, assess, plan, optimize, design, operate, monitor, predict, maintain, and train
• Specific use cases: Product development, predictive maintenance (lifecycle management), factory layout, safety training, sales and marketing (ex. 3D configurators, virtual showrooms), etc.
• Benefits: Greater efficiencies, faster innovation, reduced time to market, lower costs, increased sustainability, etc.
• Challenges: Data complexity and quality, integration, technical expertise, cybersecurity, etc.
• Enabling/implementing a digital chain or digital thread