Mai Nguyen

Data Engineer

Mai is a geospatial and data professional with over six years of experience in data analysis and engineering. She holds an MSc in Spatial Engineering from ITC, University of Twente, and works at CGI on geospatial and network inventory solutions, with a particular interest in data quality and the meaningful integration of AI into data systems. She is an active supporter of Diversity, Equity, and Inclusion in tech, and recently became a board member of Rotterdam Women in Tech.

Mai Nguyen

Data Laundering: How AI Turns Small Errors Into Confident Lies

Most AI projects don't fail on model quality — they fail on data quality. Gartner predicts 60% of unsupported AI projects will be abandoned through 2026, and the reason isn't dirty data: it's data that passes every clean-data check but isn't AI-ready. AI systems don't catch bad data, they launder it — scaling errors fast and wrapping them in false confidence, often without any visible failure. This talk gives you a practical lens for treating preprocessing as the real gate before AI touches anything that matters.

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