Operational AI in Action: Tools, Tradeoffs & Transformation
Tuesday, November 4, 2025 2:15 PM to 2:45 PM · 30 min. (US/Pacific)
Information
Building on the Amazon case study, this interactive session invites participants to examine how AI-powered operational intelligence is being deployed across diverse building portfolios to justify upgrades, reduce emissions, and align with ESG and policy mandates.
Attendees will explore a range of AI applications—from digital twins and fault detection to predictive analytics and carbon forecasting—and assess where each solution fits across different scales, sectors, and data maturities.
Through small-group roundtable discussions, participants will work through real-world prompts such as:
• “What’s your biggest roadblock to using AI for operational decision-making?”
• “How would you demonstrate value or compliance through AI-powered insights?”
Facilitators from across the public, private, and institutional sectors will guide discussions, and each group will identify actionable strategies and gaps. The session will conclude with a brief report-out of shared insights and key transformation levers across ownership types.
Attendees will explore a range of AI applications—from digital twins and fault detection to predictive analytics and carbon forecasting—and assess where each solution fits across different scales, sectors, and data maturities.
Through small-group roundtable discussions, participants will work through real-world prompts such as:
• “What’s your biggest roadblock to using AI for operational decision-making?”
• “How would you demonstrate value or compliance through AI-powered insights?”
Facilitators from across the public, private, and institutional sectors will guide discussions, and each group will identify actionable strategies and gaps. The session will conclude with a brief report-out of shared insights and key transformation levers across ownership types.
Pass Type
Conference PassVolunteer PassStudent Pass
Location
151
Program
Practical AI Applications in the Built Environment Summit
Track
Practical AI Applications in the Built Environment Summit
Learning Level
Intermediate
Learning Objective 1
Translate case study insights into actionable strategies for your own operational or portfolio context.
Learning Objective 2
Evaluate common barriers to operational AI adoption, including data readiness, compliance alignment, and ROI justification.
Learning Objective 3
Distinguish between various AI tools—by function, scalability, and policy relevance.
Learning Objective 4
Collaborate with peers to chart next steps for decarbonization, investment planning, and performance optimization.
Continuing Education Credit Offered
AIA LUGBCI
