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.
In the near future threat metadata from detection reports, persons screened and baggage notes will be integrated to better forecast security threats and deliver operational efficiencies.
The newest version of Power BI, Microsoft’s cloud service that lets users create, analyze and share data visualizations includes connectors to a variety of cloud-based data sources, including Data.gov, the main index of government open data.
Because tax fraud is pervasive, governments enlist identity verification technology to ensure refunds go to the correct taxpayer.
Science data pilot projects across the Department of Energy are using supercomputers and ESnet to explore new approaches for collecting, moving, sharing and analyzing massive scientific datasets.
The Navy’s Office of Naval Intelligence is looking for automated analytics tools to help make data more accessible, discoverable and available to analysts more quickly after it is collected.
Rapid in-memory processing of distributed data is the “core capability” of Apache Spark, which enables the analysis of streaming big data.