Which description best matches the three AI categories: rule-based, analytical, and generative?

• A. Rule-based uses deterministic logic; analytical AI learns from data to predict; generative AI creates new content.
• B. All three rely solely on labeled data.
• C. Only rule-based can generate content.
• D. Analytical AI generates new content.

Answer: (A)

Rule-based systems rely on explicit, deterministic rules that map inputs to outputs, so their behavior is pre-specified rather than learned. Analytical AI, on the other hand, learns patterns from data and uses those patterns to predict or decide about new inputs. Generative AI models the data distribution and can produce new, original content such as text or images.

So the description that assigns deterministic logic to rule-based systems, learning from data to predict to analytical AI, and content creation to generative AI best fits how these three categories operate. The other statements are inconsistent with how these approaches work: not all rely solely on labeled data, only rule-based systems don’t generate content, and analytical AI doesn’t typically generate new content.