As industrial enterprises scale their digital transformation efforts, moving from raw site data to actionable data, high-fidelity digital twins and simulations for spatial intelligence remains a critical bottleneck. 

This session explores the end-to-end data workflows required to seamlessly collect massive reality capture datasets, process them efficiently, and deploy enterprise-level digital twins that drive operational value.

Key Takeaways:

• Optimizing Data Collection and Workflows: Best practices for managing massive data pipelines from laser scanning, photogrammetry, and mobile mapping devices.
• Overcoming Scalability Bottlenecks: Strategies to transition from isolated, site-specific models to actionable data and unified, enterprise-wide digital twins.
• Bridging the IT/OT Gap: How to integrate live operational data with static 3D reality models to enable real-time predictive insights.