Which retail-inspired machine learning technology was first adopted by the U.S. federal government in 2015 to reduce improper payments and save taxpayer dollars?

In recent years, governments worldwide have adopted retail-inspired machine learning technologies to enhance public service delivery and policy effectiveness. From predictive analytics in public safety to personalized citizen services, the public sector is embracing data-driven decision making. Test your knowledge about a landmark government machine learning initiative that changed how a major administration operates.

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Predictive analytics from IBM Watson to identify potentially fraudulent transactions in Medicare/Medicaid payments
Amazon's recommendation algorithms to personalize citizen communications from federal agencies
Walmart's inventory management AI to optimize national strategic stockpiles
Target's customer segmentation technology to improve voter registration processes