Digital twins are often positioned as visualization tools, but in practice, many organizations struggle to translate 3D capture into operational value.
The webinar session explores how GMB, a leader in water infrastructure and wastewater treatment systems, improves asset visibility, reduces downtime, and enables infrastructure teams to move from passive visualization to active operational decision-making. A case study: How GMB Determines What’s What in an Industrial Environment Using Cintoo
Webinar Date: Thursday, May 28
Time: 10:00 AM EST / 4:00 PM CET
Registration:
Zoom Webinar Registration

Rather than relying on model-first workflows that can quickly become outdated, scan-first digital twins prioritize continuously usable reality capture data as the operational foundation.
The approach allows teams to work directly from trusted spatial information while connecting additional systems, documentation, and operational intelligence into a centralized environment.
What the Webinar Covers
Attendees will learn how to:
- Transition from model-first workflows to a scan-first digital twin strategy
- Create connected operational assets from reality capture data
- Link scans with P&IDs and supporting infrastructure documentation
- Use cloud-based platforms to manage and stream spatial data
- Share operational access across teams and stakeholders
- Enrich scans with additional operational information to create a single source of truth
The webinar will also explore how GMB used the approach to:
- reduce uncertainty during facility operations
- remotely access difficult-to-define areas
- identify assets missing from legacy 2D documentation
- reduce downtime across residential water treatment environments

Why This Matters
As reality capture adoption grows across infrastructure, utilities, and industrial facilities, many organizations are still working to bridge the gap between collecting spatial data and operationalizing it.
This session offers a practical look at how scan-first digital twin strategies can move beyond visualization into workflows that support maintenance, operations, collaboration, and long-term infrastructure management.
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