Which IBM Watson API could be used for searching and extracting insights from unstructured data?

Watson Discovery is designed specifically for searching and extracting insights from unstructured data. This API uses machine learning and natural language processing to analyze large volumes of diverse data, enabling users to uncover hidden patterns and derive meaningful conclusions. Watson Discovery can ingest various data formats, such as documents, emails, web pages, and more, allowing it to handle unstructured data effectively.

The capability to analyze unstructured data makes Watson Discovery particularly useful for tasks such as document classification, sentiment analysis, and extracting key entities or themes from the data. This is essential in scenarios where organizations need to gain insights from unstructured information, which typically comprises a significant portion of their data assets.

In contrast, other options focus on different functionalities: Watson Assistant is primarily for building conversational agents; Watson Knowledge Catalog is aimed at managing and governing structured and unstructured data assets for enterprises; and Watson Speech to Text is designed to transcribe audio into text. While these other APIs offer valuable features, they do not specialize in the extraction of insights from unstructured data like Watson Discovery does.