In this world of data, with AI being only as good as the data it gets trained on, contextual and structural addition is quite vital. Raw data is almost worthless without context and structure, which would mislead any AI model and will cause erroneous decision-making. It is through semantic annotation that unstructured data is converted into structured insights by the addition of context, relations, and meaning.