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Engineering calls for GIS, digital-twin and AI upgrades to improve infrastructure planning
Summary
City engineers urged council to invest in a data-driven foundation — improved GIS, digital-twin models and modern analytical software — so the city can prioritize capital projects, predict failures and reduce consultant costs. Director Kevin and assistant engineer Zephyrino outlined phased software, staffing and data‑quality steps.
City engineering leaders asked the council to fund upgrades to the city’s geospatial data and modeling tools so staff can make data-driven decisions about water, wastewater, stormwater, traffic and streets.
Engineering Director Kevin told the workshop that the city currently has fragmented records and limited confidence in archived infrastructure data, and that the most effective near-term solution is systematic data collection and standardization. "Good data in,…
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