IAM Webinar – From Data Latency to Digital Twin: Converging GIS, BIM and AI for Smarter Drainage Asset Management
This webinar explains how MACE Qatar built an operational digital twin to manage Qatar’s drainage infrastructure, a network of more than 3,000 km of pipelines plus treatment facilities. It shows how bringing together GIS, BIM, real-time telemetry and AI reduced the delay between field and office data and moved maintenance from reactive work towards predictive, risk-based decisions.
Programme
- The path from having no GIS in 2020 to AI-driven asset intelligence in 2025
- The GeoMACE ecosystem and BIM-GIS interoperability in a framework aligned with ISO 55001 and ISO 19650
- Drone LiDAR reality capture and AI-based rain simulation for flood mitigation
- Governance of asset information through a “Golden Thread” approach
- Lessons on digital adoption at scale, from a drainage operation and maintenance portal used by more than 900 active users
Speakers
- Ali Farouk Ahmed, Asset Manager, MACE Qatar
Who it’s for
Asset management and information management professionals who want to use location intelligence and digital twins on an infrastructure portfolio, whether drainage or another network.