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DTSTART;TZID=Europe/London:20261124T140000
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DTSTAMP:20261115T083826Z
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UID:769-1795528800-1795532400@www.buildinar.com
SUMMARY:IAM Webinar – From Data Latency to Digital Twin: Converging GIS\, BIM and AI for Smarter Drainage Asset Management
DESCRIPTION: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. \nProgramme\n\nThe path from having no GIS in 2020 to AI-driven asset intelligence in 2025\nThe GeoMACE ecosystem and BIM-GIS interoperability in a framework aligned with ISO 55001 and ISO 19650\nDrone LiDAR reality capture and AI-based rain simulation for flood mitigation\nGovernance of asset information through a “Golden Thread” approach\nLessons on digital adoption at scale\, from a drainage operation and maintenance portal used by more than 900 active users\n\nSpeakers\n\nAli Farouk Ahmed\, Asset Manager\, MACE Qatar\n\nWho it’s for\nAsset management and information management professionals who want to use location intelligence and digital twins on an infrastructure portfolio\, whether drainage or another network. \nRegister
URL:https://www.buildinar.com/session/iam-webinar-from-data-latency-to-digital-twin-converging-gis-bim-and-ai-for-smarter-drainage-asset-management/
LOCATION:Online
CATEGORIES:AI,Digital twin,Infrastructure
ATTACH;FMTTYPE=image/webp:https://www.buildinar.com/wp-content/uploads/2026/11/cover-iam-webinar-from-data-latency-to-digital-twin-converging-gis-bn-2.webp
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