A town already has traffic cameras and transit fare cards, and leaders ask for “AI magic” that predicts household income for every address. What application choice best respects available sources?
Select an answer to reveal the explanation.
Short Explanation
Sources are the ingredients; applications are the recipe. Cameras and fare cards cook mobility insights, not a crystal ball of every household’s paycheck. Pick apps the city can actually feed.
Full Explanation
Big Data applications must be grounded in the source classes on hand. Traffic video and fare transactions support mobility, ridership, and operations analytics; they do not automatically justify address-level income prediction. Leaders map feasible use cases to person-to-machine and machine-to-machine feeds rather than inventing unsupported “AI magic.” Discarding existing sources or forcing unrelated conclusions from pixels breaks that grounding.