This plenary panel at GeoBuiz Summit 2026 examines how artificial intelligence, automation, and digital twins are converging to transform the AEC industry from project-based delivery to continuous, data-driven infrastructure management. The discussion focuses on how physics-based simulation, high-fidelity reality capture, and AI-powered analytics are enabling predictive planning, operational intelligence, and lifecycle optimization across design, construction, and asset operations.
Moderated by Ananyaa Narain, Vice President – Consulting, Geospatial World, the session brings together technology and infrastructure leaders shaping this transition.
Sean Young, Director, AECO, Geospatial, and AI Solutions Industry Marketing, Nvidia highlights AI software ecosystems and digital twin platforms that enable photorealistic simulation, synthetic data generation, and intelligent automation.
Trip Bonds, Vice President – Sales & Marketing, Dynamic Map Platform North America, explores how high-definition mapping and connected mobility systems are linking infrastructure, robotics, and industrial operations.
Patrick Cozzi, Chief Platform Officer of Bentley Systems discusses integrated digital twin ecosystems that connect geospatial context with engineering workflows and real-time asset performance.
The panel underscores that the future of AEC will depend not only on advanced technology, but also on open standards, interoperable data, and trusted operational frameworks — positioning digital twins and AI as the core decision architecture for next-generation infrastructure.
The post Optimization of AI, Automation, and Digital Twins for the AEC Industry | GeoBuiz Summit 2026 appeared first on Geospatial World.
[Continuar leyendo en Geospatial World](https://geospatialworld.net/videos/optimization-of-ai-automation-and-digital-twins-for-the-aec-industry-geobuiz-summit-2026/) ### Contexto para la comunidad GIS Esta información es relevante para profesionales de geoprocesamiento, analistas espaciales y usuarios de herramientas como QGIS, ArcGIS y PostGIS.