Carnegie Mellon University will use IBM’s cloud-based smart building analytics software to gauge energy consumption across campus buildings.
Microsoft’s Azure IoT Suite combines the business intelligence capabilities of Power BI using real-time data (Azure Stream Analytics) and Azure Machine Learning capabilities.
CompStat-style programs are responsible for a 5 to 15 percent decrease in crime in cities using the system, according to a recent study by the Brennan Center for Justice.
The new data sharing and analysis web portal aims to speed the development of predictive models and effective therapies for Alzheimer’s disease.
The New York Police Department will use an automated license plate reader database to receive alerts when a stolen vehicle is identified.
San Francisco is acting as anchor to a group of firms mapping real-time building energy usage data as well streaming information from traffic monitors and mobile devices.
Smartvue has been authorized to use Azure Government, which is part of the Microsoft Cloud for Government, for its military and government video surveillance solutions.
The city of Chicago is partnering with the Argonne National Lab to develop a network of large, remote sensing platforms capable of gathering data on traffic congestion, air quality, buildings' energy consumption and the direction of gunshots on city streets.
The National Oceanic and Atmospheric Administration’s Meteorological Assimilation Data Ingest System – which processes, organizes and distributes weather data from tens of thousands of sources – will now be supported by the National Weather Service.
U.S. Postal Services is looking for advanced analytics technology to help it detect fraud and conduct sensitive audits.
In order for body cameras to deliver on their full potential, local law enforcement agencies must grapple with a substantial increase in the amount of video footage that needs to be processed, stored and accessed for both internal and external use.
IBM helped Miami’s transportation planners analyze the busses’ paths, speed and stops to assess the accuracy of bus arrival predictions and provide bunching alerts.