У нас вы можете посмотреть бесплатно Optimization of AI, Automation, and Digital Twins for the AEC Industry | GeoBuiz Summit 2026 или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
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.