Your Data Does Not Have to Be Perfect, But You Need to Know What It Means

AI can work with imperfect data, but construction teams must understand what their data actually represents and its limitations. Getting data quality exactly right matters less than having clear knowledge of your data's meaning and how it will be used in decision-making.

Can AI's ability to figure out messy data free us from striving for data quality, or is the reality more nuanced? The post Your Data Does Not Have to Be Perfect, But You Need to Know What It Means appeared first on AEC Business .

This story was originally published by AEC Business.