Presented by:
Presented by:
Start Time:
3/25/2025 9:30:00 AM
End Time:
3/25/2025 10:20:00 AM
About this session:
Explore the transformative integration of Building Information Modeling (BIM) data, digital twins, Artificial Intelligence (AI), and Human Intelligence (HI) through case studies in facility management. This presentation demonstrates how the entire State of California, and the Los Angeles Community College District optimized operations and decision-making across multiple departments, including space planning, asset management, indoor GIS, custodial services, real estate, and capital planning. Central to our discussion is a digital twin model developed from comprehensive AEC data, serving as a dynamic framework for AI analytics and human insights. This model allows stakeholders to navigate the facility effortlessly, using maps accessible on any device to instantly locate rooms, assets, and detailed data. The session highlights the integration of existing and new construction AEC data into the digital twin, enabling real-time management and predictive maintenance. AI algorithms provide actionable insights, while human intelligence ensures these are effectively implemented, optimizing facility management across all sectors. Participants will learn practical steps to harness AEC and BIM data, creating a navigable digital twin that enhances space usage, reduces costs, and improves maintenance strategies for all stakeholders. Discover how to build a sophisticated, data-driven management system that leverages the best of technology and human expertise.
1. Demonstrate the Application of Digital Twins and AI in Facility Management: Understand how to integrate BIM and AEC data to develop dynamic digital twin and apply AI for real-time, data-driven decision-making across various facility management domains.
2. Explore Multi-Stakeholder Benefits: Learn how the digital twin model facilitates seamless navigation and operational efficiency for stakeholders involved in space planning, asset management, indoor GIS, custodial services, real estate, and capital planning.
3. Optimize Facility Operations with Actionable Insights: Gain insights into how AI algorithms analyze digital twin data to provide actionable insights for predictive maintenance and optimized operational strategies, enhancing overall facility management.
4. Implement Effective Integration Strategies: Acquire practical knowledge on harnessing existing and new construction data to create an intelligent, navigable digital twin, improving space usage, reducing costs, and supporting sustainability efforts within facilities.
Session ID:
T2.31
Room Number:
331
Audience:
All
CEU:
0.1