In this presentation from Upper Bound 2025, the City of Edmonton's Data Science Team — Kris Andreychuk, Taher Abbasi, Clayton Clemens and Zehra Shah — demonstrates how a municipal government can transform itself into a hub of AI innovation. With an action-oriented approach, the team embeds data intelligence directly into core public services to solve the real-world problems facing Edmontonians.

The session highlights several key initiatives, including:
"Amberwise": A system that forecasts wildfire risk by combining environmental data with analysis of human behavior patterns.
"Inspection Automation": A model that triages building safety inspections to deploy inspectors more efficiently.
"Repair": A predictive tool that helps road crews manage and proactively fix the city's infamous potholes.

Overall, the presentation offers look at how a dedicated data science unit using machine learning can make a city safer, more efficient, and more responsive to the needs of its citizens.

Upper Bound 2025 is Amii's annual artificial intelligence conference, held in Edmonton, Alberta, Canada, bringing together researchers, industry, and policymakers. The conference focuses on accelerating AI excellence and innovation for good, emphasizing AI for critical infrastructure, health, industrial operations, responsible AI, and AI Literacy.