> For the complete documentation index, see [llms.txt](https://docs.nexthink.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.nexthink.com/whats-new/2022/whats-new-2022.5.md). # What's new 2022.5 This page lists the upcoming changes to your Nexthink Experience platform. Version 2022.5 is available and scheduled for deployment all around the world starting on June 8. For the release notes and download links, see the [release notes](https://community.nexthink.com/s/knowledge#release_notes) section on our community website. ## General availability of the connector for Microsoft Azure Active Directory (Azure AD) Enrich your employee data with information from Azure AD. You can also use it to enhance the implementation of import connectors in hybrid configurations where users log in using both Cloud and on-premises instances of Active Directory, for example, with Microsoft Teams.
Field mapping with Azure AD
## New Bulk Data Export scheduling capabilities Automate your data exports with the new scheduling feature. Plan regular exports in the configuration tab with the hourly, daily and weekly options. Once the Data Exporter is saved, the scheduling frequency appears as a new column in the list of data exporters.
Bulk Data Exporter configuration
## Documentation new URL format Easily access the latest version of the product documentation and link to a specific page, thanks to the new URL mechanism. Remember to adjust your bookmarks to the new URL format accordingly. Previous URL format\ New URL format\ --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.nexthink.com/whats-new/2022/whats-new-2022.5.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.