Measuring the importance of data quality to causal AI success
Dynatrace
JANUARY 4, 2024
Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It uses fault-tree analysis to identify the component events that cause outcomes at a higher level. Improving data quality is a strategic process that involves all organizational members who create and use data.
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