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Fast analytics for the Federal Government
Publié: août 11, 2016, 4:33pm CEST par Wayne Chan
Each day, executives in Federal agencies and departments balance the public’s growing need for services with budget discipline -- "doing more with less". They rely on predictive analytics and machine learning to make government work better, ensuring tax compliance, enforcing the law, detecting fraudulent claims, and understanding public needs. The most demanding analytics work is often ad-hoc and time-sensitive, and requires an ability to scale up quickly. Consider the following scenarios: A hurricane looms. Risk analysts at the Federal Emergency Management Agency (FEMA) collaborate with partners in the National Oceanic and Atmospheric Administration (NOAA) to develop risk assessments and disaster… [Continue Reading]