Government

Analytics | Artificial Intelligence
Dan Childers 0
Time for government agencies to embed data and AI into environmental compliance

Government employees charged with monitoring environmental compliance face a downpour of information, wading through countless reports and stacks of paperwork to accomplish their mission. To help these dedicated public servants increase productivity, agencies should consider a broader set of tools to control pollution, enforce regulations and improve compliance. Although foundational

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English
Government
Analytics | Data for Good | Data Management
Josh Morgan 0
LA County's Whole Person Care analytics program offers crucial flexibility  

When Los Angeles County invested in Whole Person Care (WPC) it could not have known just how important the system’s flexibility would be. Anyone who has had an interface with health care delivery, policy, oversight and management know things change quickly. As data becomes a priority, expectations of the use

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English
Government | Health Care
Artificial Intelligence | Internet of Things
Tyson Echentile 0
Four technology tips for government leaders preparing for flood disasters

“What’s our plan if we get hit by a big flood?” While this question may be plenty familiar to emergency management professionals, city administrators, legislators, and other leaders in coastal regions that are known for their exposure to potentially disastrous weather events, these days it’s being asked in some unexpected

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English
Government
Analytics | Artificial Intelligence | Internet of Things
Lee Ann Dietz 0
Modern infrastructure must include analytics

Throughout its history, the United States has invested in infrastructure that leverages new technologies and helps society and its economy thrive. With the advent of trains in the early 1800s, four of the country’s five transcontinental railroads were built with assistance from the federal government. When cars replaced horses and

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English
Energy & Utilities | Government
Analytics | Data Management | Students & Educators
Katrina Miller 0
Minnesota longitudinal data system exploring COVID's effects on pre-k to workforce journey

Minnesota's longitudinal data system integrates early childhood education, K-12, postsecondary and workforce data to create a panoramic view of education outcomes. The merging of systems results in data linking and improves the overall data quality and performance of the P-20 Statewide Longitudinal Education Data System (SLEDS) and Early Childhood Longitudinal

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English
Education | Government
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