More Data & Analytics Articles
The next breakthroughs in business intelligence (BI) and analytics will see machine learning and artificial intelligence used to improve data access and data quality, uncover previously hidden insights, suggest analyses, deliver predictive analytics and suggest actions. What’s more, natural language (NL) interfaces will make it easier for business users without knowledge of data science or query languages to explore
information, gain insights and make better, data-driven decisions.
Patternizr's pattern-recognizing algorithms are helping the New York City Police Department find relationships among crime types with greater efficiency and less bias.
In the nearly 20 years since they first appeared, application programming interfaces have made it easy for government agencies to share data.
Data and processes standardized across government will drive better decisions and save money, GSA's Jessica Salmoiraghi says.
By automating data preparation and the discovery and sharing of insights, augmented analytics helps users more easily interact with data.
Modern EAM systems integrated with GIS, mobile and automation capabilities can help reduce downtimes, minimize asset replacement costs and improve overall city services.
Fusing geographic data with business information can transform domain knowledge and customer workflows into connected and digital-first ecosystems.
The Department of Homeland Security's Science and Technology Directorate is looking for new solutions to 12 common challenges.
Optimizing predictive analytics can lead to better decision-making, which can impact everything from troops in theater to disaster response.
A search and discovery environment for data and code can show how an agency's information is connected and grouped within projects or departments.
The Intelligence Advanced Research Projects Activity wants 960 hours of annotated video data to help it train computer vision algorithms for law enforcement and public safety.
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