MECE
Mutually Exclusive, Collectively Exhaustive (MECE) is a problem-solving framework ensuring that categories are mutually exclusive and collectively exhaustive, avoiding overlaps and gaps.
38 topics found for
“preventive strategies”
Machine Learning Bias
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.