When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
University of Wisconsin professor of soil science Jingyi Huang and data scientist Maria Oros worked over the summer on a new modeling tool for soil scientists. The pair used machine learning and ...
Categorizing patients with cancer by their disease stage can be an important tool when conducting administrative claims-based studies. As claims databases frequently do not capture this information, ...
Opinion
The Business & Financial Times on MSNOpinion
Bad data cannot be fixed by a good algorithm: Why data quality will determine Ghana’s AI future
By Dr. Kofi Anokye OWUSU-DARKOGhana’s National Artificial Intelligence Strategy (2025–2035) reflects an ambitious vision for the country’s digital future. It seeks to harness artificial intelligence ...
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