In the heart of Sandy Springs, city officials gathered on May 20, 2025, to discuss the future of data strategy and artificial intelligence integration within the community. The evening began with Keith McMillan, the city’s director of data strategy and analytics, presenting a comprehensive update on the city’s current analytics capabilities and future plans.

McMillan outlined the four types of analytics: descriptive, diagnostic, predictive, and prescriptive. He emphasized that while the city is currently at a foundational level of data maturity, there is significant potential for growth. For instance, he illustrated how predictive analytics could foresee issues like tire failures in city vehicles, showcasing the practical applications of data in enhancing city operations.

The discussion also delved into the complexities of artificial intelligence. McMillan explained that AI, while powerful in processing vast amounts of data, has limitations, particularly in ethical decision-making. He highlighted the importance of understanding AI's capabilities and its potential biases, referencing past incidents where AI systems had to be shut down due to inappropriate outputs.

As the meeting progressed, council members expressed their enthusiasm for the city’s direction. They acknowledged the necessity of breaking down data silos to foster better communication among departments. Council member Melissa Mueller noted the critical role of data in solving urban challenges, emphasizing that without quality data, effective decision-making is hindered.

Looking ahead, McMillan shared plans for a digital innovation initiative aimed at enhancing public engagement through data analysis. This initiative includes a grant application focused on leveraging AI to streamline the permitting process, potentially reducing the time and effort required for document reviews.

The council also discussed the ethical implications of data use, particularly in public safety. While there is interest in exploring predictive policing, officials recognized the need for careful consideration of data ethics before moving forward.

As the meeting concluded, the sense of optimism was palpable. Sandy Springs is poised to become a leader in data-driven governance, with a commitment to using technology to improve city services and enhance the quality of life for its residents. The integration of AI and data analytics promises not only efficiency but also a more responsive and informed city administration, setting a precedent for other municipalities to follow.