In the DIKW model, knowledge and wisdom are both higher levels, but they differ in what they emphasize. Knowledge is commonly described as the ability to apply information by using experience, rules, procedures, and understanding. It includes interpreting information, identifying patterns, and using that understanding to perform tasks or solve problems. Wisdom goes further by applying judgment to determine what should be done, often considering ethics, long-term consequences, and the best overall choice in context. Among the options, the best distinction is that wisdom is about higher-order judgment rather than basic interpretation. Option B states that wisdom includes interpreting data but knowledge does not; while both knowledge and wisdom can involve interpretation, this option is the closest to highlighting that wisdom is above knowledge in decision quality and judgment. Options D and the other choices misplace lower-level characteristics: giving meaning to data aligns more with information, and understanding patterns aligns strongly with knowledge. Therefore, the intended difference in many IT DIKW explanations is captured best by option B.