What functionality does Entity Extraction in AI Builder provide?

Entity Extraction in AI Builder is designed specifically to analyze text and extract key pieces of information, such as names, dates, locations, and other important terms, which makes option B the correct choice. This functionality is particularly useful when organizations need to quickly sift through large volumes of text data to find specific insights or trends without manual effort.

The feature enhances the ability to automate processes and improve data organization by identifying important entities that can be further utilized in applications, reports, or data analysis tasks. This capability plays a crucial role in natural language processing applications, where understanding the context and significant elements within text is vital for effective decision-making and analytics.

Other options describe functionalities that are part of different cognitive services or machine learning capabilities. Identifying and classifying images pertains to computer vision, predicting future outcomes relates to predictive modeling, and processing scanned documents refers to document automation and data extraction from forms or invoices. These activities, while powerful, do not align with the specific purpose of entity extraction.