Enuma Ezeife

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Total Citations

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About

Enuma Ezeife is an emerging researcher at the intersection of artificial intelligence, tax technology, and business analytics. Her work focuses on leveraging AI-driven frameworks to modernize tax administration systems, with particular emphasis on improving compliance efficiency and fraud detection within the United States tax ecosystem. Her most recognized contribution, "AI-Driven Tax Technology in the United States: A Business Analytics Framework for Compliance and Efficiency" (2021), explores how data-driven methodologies can reduce compliance burdens on taxpayers and administrators alike, while simultaneously strengthening fraud prevention mechanisms. This paper has garnered 5 citations, signaling growing interest in a niche but increasingly vital research domain as governments worldwide pursue digital transformation of their fiscal systems. Ezeife's scholarship bridges the technical capabilities of artificial intelligence with the practical demands of public administration and regulatory compliance, making her work relevant to policymakers, tax professionals, and data scientists alike. As AI continues to reshape institutional frameworks, her research positions her as a thoughtful voice in the evolving conversation around intelligent tax systems and accountable governance through technology.