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Sandy Springs outlines data strategy, aims to centralize city data and pilot AI projects
Summary
City data director Keith McMillan briefed the Sandy Springs City Council on a multi‑month plan to centralize data, improve data quality and pilot AI tools for GIS, public engagement and permitting; councilors asked about privacy, policing and policy oversight.
Keith McMillan, director of data strategy and analytics and AI integration, told the Sandy Springs City Council on May (work session) that the city’s data program is in an early stage but moving quickly toward centralized data and pilot AI projects.
“We don’t have a data problem as a city. We have a data integration problem,” McMillan said, describing the city’s current reliance on manual, descriptive analytics and the goal of moving to predictive and prescriptive analytics by improving data governance, implementing data transformation technology and creating a dedicated data team.
The presentation listed existing and planned uses of analytics and AI: an image‑recognition model used for the city’s canopy study; CrowdStrike for network security that uses predictive analytics; expanded use of Microsoft Power BI in the fire department for forecasting and natural‑language features; and an experiment with AI‑driven…
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