A convergence of technologies around 4D modeling and real-time data analysis have enabled the creation of comprehensive digital twins, or synchronized virtual replicas of real-world assets, processes, and systems. Digital twin technology is proving valuable for decision making, performance prediction, product innovation, and more. In this session, experts discuss real-life applications and the digital twin ecosystem.

• Simulation model vs. digital twin
• Data sources: Manufacturing data, supplier information, sensor data, etc.
• Enabling tech: Reality capture, IoT, AI/ML, advanced computing, XR, etc.
• Using component, asset, system, and/or process twins to 1) Plan and optimize 2) design and operate 3) monitor and predict 4) maintain and train
• Specific use cases: Product design, supply chain management, predictive maintenance, training, etc.
• Benefits: Efficiencies, faster time to market, reduced costs, sustainability, etc.
• Challenges: Data management, interoperability, required talent, etc.
• Platforms for hosting industrial digital twins
• Digital twins in the digital thread

Speakers: (M) Adrian Hatch, COO, Sitelink
Trent Randles, Engineering & Operational Excellence Manager, BorgWarner
Anne Emberson, Area VP Digital, Nalco Water, An Ecolab Company
John Rygg, Technology Strategist - Innovation Group & HoloLens R&D Product Owner, Kiewit
Ed Moore, OT Strategist & Distinguished Engineer, Chevron