Merge pull request #1678 from renaaliu/patch-3

Update overview.md to include Ignite updates

Author: prmerger-automator[bot]

articles/ai-services/language-service/personally-identifiable-information/overview.md

@@ -14,11 +14,16 @@ ms.custom: language-service-pii, build-2024, ignite-2024
 
 # What is Personally Identifiable Information (PII) detection in Azure AI Language?
 
-As of June 2024, we now provide General Availability support for the Conversational PII service (English-language only).
-Customers can now redact transcripts, chats, and other text written in a conversational style (i.e. text with “um”s, “ah”s, multiple speakers, and the spelling out of words for more clarity) with better confidence in AI quality, Azure SLA support and production environment support, and enterprise-grade security in mind.
-
 PII detection is one of the features offered by [Azure AI Language](../overview.md), a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. The PII detection feature can **identify, categorize, and redact** sensitive information in unstructured text. For example: phone numbers, email addresses, and forms of identification. Azure AI Language supports general text PII redaction, as well as [Conversational PII](how-to-call-for-conversations.md), a specialized model for handling speech transcriptions and the more informal, conversational tone of meeting and call transcripts. The service also supports [Native Document PII redaction](#native-document-support), where the input and output are structured document files.
 
+## What's new
+
+The Text PII and Conversational PII detection preview API (version `2024-11-15-preview`) now supports the option to mask detected sensitive entities with a label beyond just redaction characters. Customers have the option to specify if personally identifiable information content such as names and phone numbers, i.e. `“John Doe received a call from 424-878-9192”`, are masked with a redaction character, i.e. `“******** received a call from ************”`, or masked with an entity label, i.e. `“[PERSON_1] received a call from [PHONENUMBER_1]”`. More on how to specify the redaction policy style for your outputs can be found in our [how-to guides](how-to-call.md). 
+
+The Conversational PII detection models (both version `2024-11-01-preview` and `GA`) have been updated to provide enhanced AI quality and accuracy. The numeric identifier entity type now also includes Drivers License and Medicare Beneficiary Identifier.
+
+As of June 2024, we now provide General Availability support for the Conversational PII service (English-language only). Customers can now redact transcripts, chats, and other text written in a conversational style (i.e. text with “um”s, “ah”s, multiple speakers, and the spelling out of words for more clarity) with better confidence in AI quality, Azure SLA support and production environment support, and enterprise-grade security in mind.
+
 > [!TIP]
 > Try out PII detection [in AI Foundry portal](https://ai.azure.com/explore/language), where you can [utilize a currently existing Language Studio resource or create a new AI Foundry resource](../../../ai-studio/ai-services/connect-ai-services.md)