Live Poll Results — Which retail-inspired machine learning technology was first adopted by the U.S.

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Government Data Analytics Revolution

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.

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?

Poll Type: Trivia | Total Votes: 0

OptionVotesPercentage
{'choice_text': 'Predictive analytics from IBM Watson to identify potentially fraudulent transactions in Medicare/Medicaid payments', 'is_correct': True}00%
{'choice_text': "Amazon's recommendation algorithms to personalize citizen communications from federal agencies", 'is_correct': False}00%
{'choice_text': "Walmart's inventory management AI to optimize national strategic stockpiles", 'is_correct': False}00%
{'choice_text': "Target's customer segmentation technology to improve voter registration processes", 'is_correct': False}00%