Which statement about the relationship between data science and artificial intelligence (AI) is true?

The statement that data science can use many of the AI techniques to derive insights from data accurately reflects the relationship between these two fields. Data science is an interdisciplinary field that focuses on extracting knowledge and insights from structured and unstructured data. It incorporates various statistical, mathematical, and computational techniques.

Artificial intelligence, on the other hand, is a collection of techniques and algorithms that enable machines to simulate human intelligence. Many of the methods used in AI, such as machine learning algorithms, are fundamental tools within data science for analyzing data and making predictions. Therefore, data science leverages AI techniques for tasks like classification, regression, clustering, and natural language processing, enabling practitioners to uncover patterns and derive valuable insights from large datasets.

The other statements do not accurately describe the relationship. For instance, stating that AI is a subset of data science or vice versa misrepresents the nature of both fields. They are distinct but complementary; hence, they are not the same. Recognizing the functional overlap where data science applies AI techniques helps clarify how data scientists utilize these methods effectively.