Detect and redact PII in free text with NER in Transform v2

Transform v2 is an advanced tool that simplifies the process of detecting and redacting personally identifiable information (PII) in tabular and free text formats using Named Entity Recognition (NER). It offers four robust NER functions - redact_entities, hash_entities, fake_entities, and label_entities. Unlike legacy systems, Transform v2 NER does not restrict users to a predefined set of entities; instead, it allows the listing of any entities needed in the config for detection without requiring prior training. This versatile tool is useful for organizations dealing with unstructured data types like call center transcripts or clinical and doctor notes, where protecting PII is crucial while maintaining maximum utility of the text for downstream applications.