Machine Learning
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Buffalo, NY prevents sewer overflows during storms with the Wastewater Network Optimization System
Xylem's platform collects data from sensors throughout the city's sewer system. Machine learning processes result in predictions about potential overflows during heavy rains. This system automatically channels water into sewer pipes with available capacity, thus preventing wastewater from entering local waterways. The Buffalo Sewer Authority did not need to add new infrastructure for the project and can scale up the platform's use for future system extensions.
Buffalo, NY
United States
Irving, TX estimates future electric vehicle charging needs with the PredictEV platform
Volta's PredictEV will help city officials identify future locations for EV infrastructure. The AI-powered platform gathers data on state electric vehicle registrations, local commutes, and current charging capacity. PredictEV maps ideal locations for public chargers based on future EV ownership and projected demand. The city's Transportation and Natural Resources Committee uses PredictEV data when integrating charging needs into the comprehensive infrastructure plan.
Irving, TX
United States
East Lansing, MI experiments with Prairie Robotics platform on recycling collection vehicles
East Lansing worked with The Recycling Partnership and the state's Department of Environment, Great Lakes, and Energy to organize the six-month trial. Prairie Robotics installed cameras for views of each vehicle's hopper and nearby streets. A machine-learning platform evaluates video footage for non-recyclable items at each collection address. The Public Works team sends postcards to encourage compliant households and suggest proper recycling techniques to non-compliant households.
East Lansing, MI
United States
Lancashire County Council, GB pilots Alchera's Pinch Point Analysis Tool for improved bus routes
PPAT was installed at 59 road junctions in the county's eastern communities for the trial. This technology analyzes sensor and Bus Open Data Service data using machine learning. Local officials and bus operators identify junction inefficiencies that may be corrected by road work, bus stop relocation, or other interventions. Lancashire County Council will rely on PPAT's analyses when seeking government funds for junction improvements.
Lancashire County Council, GB
United Kingdom
North Tyneside Council, GB experiments with remote monitoring technology for vulnerable residents
Council officials and Lilli selected 100 residents receiving at-home care for the pilot. Small sensors throughout a participant's home measure movement, temperature, and diet around the clock. Lilli's data dashboard converts sensor data into insights for proactive care through machine learning. North Tyneside Council will shape care programs based on trends across participating homes. Data-driven responses are expected to reduce hospital admissions and support independent living.
North Tyneside Council, GB
United Kingdom
Nottingham City Council, GB
United Kingdom
Aberdeen City Council, GB builds its own social care portal using Microsoft Dynamics 365
Eighty percent of child and adult social care case data were in separate systems prior to the portal's creation. The council's social workers developed a system for centralized case documentation and management. Aberdeen City Council plans future artificial intelligence and machine learning integrations for early interventions. The social care portal builds on council collaboration with Microsoft on cloud-based services during the COVID-19 pandemic.
Aberdeen City Council, GB
United Kingdom
Gilbert, AZ is partnering with Dell Technologies to implement strategic cybersecurity technology
The town of Gilbert is partnering with Dell Technologies to implement strategic and proactive cybersecurity technology including a cyber recovery vault, monitoring software, layered passwords, time stamps, machine learning, artificial intelligence, etc. The cyber recovery vault will protect copies of the town's data and IT infrastructure to provide an opportunity to boot up a backup in response to a cyberattack.
Gilbert, AZ
United States
Sunderland City Council, GB converts data into improved services with ConnexinOS platform
The AI-enabled platform gathers council and third-party data in five service areas including anti-social behavior and taxation. Machine learning processes analyze raw data and share insights across departments for coordinated responses. ConnexinOS will improve how the council addresses issues ranging from vandalism to residents in need of social services. Sunderland and Connexin plan to expand platform use to additional departments during its three-year contract.
Sunderland City Council, GB
United Kingdom
Placer County, CA is using machine learning to ensure compliance with short-term rental taxes
Placer County is using Deckard Technologies' cloud-based platform Rentalscape, hosted by Amazon Web services, to identify, track and report short-term rental registrations, bookings and transient occupancy (TO) tax payments. The platform uses machine learning to mine public data sources of short-term rentals for inconsistencies. The Rentalscape platform helps the county ensure that operators of short-term rentals comply with the TO tax that supports local government services.
Placer County, CA
United States
Philadelphia, PA pinpoints economic recovery and equity efforts with State of Place partnership
The Innovation and Technology team added street-view images of city blocks into software from State of Place. Each image is evaluated on criteria like signage, sidewalks, lighting, and street design. City demographic and public health data are also applied during this analysis. The resulting 100-point State of Place score for each block creates the foundations for city responses to historical inequality in planning and economic turbulence.
Philadelphia, PA
United States
Memphis, TN is using artificial intelligence and machine learning to locate potholes
Memphis, Google, and SpringML use artificial intelligence and machine learning in the fight against potholes. The solution turns video feeds from city buses into data about road conditions. This ongoing audit of 6,800 lane miles of local roads captures potholes and other road imperfections. City officials estimated an accuracy rate of 84%.
Memphis, TN
United States