Information workers are bombarded with huge amounts of data and spend considerable time reading and processing it daily. A Lot of time is also spent preparing responses to inquiries and organizing information for analysis.

With this feature, data can easily be generated, summarized into information, responses can be prioritized based on urgency (sentiment), responses can be categorized (classify), pertinent info can be extracted (email, phone), and replies can be generated by using Microsoft Dataverse generative AI prompts. This enriched information can be defined and extended as part of the record and can be queried.

You'll be able to easily add your previously used knowledge with a single click-add experience. These recency-based recommendations will include four knowledge sources: Files, Microsoft Dataverse, SharePoint, and public websites. Makers will be able to view the top 10 recommendations based on knowledge they added in other agents. Selecting Add will bring not just the file uploaded or Dataverse table added, but also bring the synonyms and glossary configurations to your agent.

Enterprise data as knowledge is crucial for business copilots. Many enterprises store their data in Dynamics 365 which is stored in Microsoft Dataverse. You can now use all this enterprise data to ground your declarative agents in enterprise knowledge by adding Dataverse knowledge directly in your Copilot Agents. This will enable you to build Copilot agents that understand your line of business data. This capability already exists in custom agents built from Microsoft Copilot Studio. We are now extending this to Copilot agents. This functionality is available while creating a Copilot agent from Copilot Studio designer canvas only.

Power Platform services from Microsoft ship services, which include security roles and application users, frequently. These roles and applications are automatically documented on our Microsoft learn site with standard and consistent content. Customers can use Copilot in Bing to find the list of privileges in a security role and the differences between security roles without asking a local admin to get into a Dataverse environment to do that.

Use the GitHub Copilot Chat control within Visual Studio 2022 to write your X++ code. There, you can provide natural language tests that describe workflows and have the system to do the work for you. For example, you could write: 'Create a table class MyTable with a Name field and an Age field and create an index over the Name field. Then, create a form that consumes the data in this table,' upon which the system would create the suggested artifacts.

The test engine has been developed to a state where it can test canvas apps and model-driven apps from the Power Platform command line tool or directly from the application available as open source.

We have changed the authentication so it's up to date with current requirements. The test engine is built on an extensible platform that allows adding new features on top of what already exists. We're implementing new AI feature testing and other exciting features to come. All tests are expressed with Power Fx in YAML files, making the test engine the perfect vehicle for makers and pro-developers, who can also integrate with Playwright to author tests in C#. You'll find an extensive set of samples and documentation in the test engine GitHub repo and in Microsoft Learn articles.

The new Databricks Connector facilitates seamless integration between Microsoft Power Platform and Databricks, enabling effortless canvas app development in Power Apps. This connector supports interactive and dynamic data manipulation, allowing users to create, update, delete, and retrieve items from Databricks tables. By offering these capabilities, the connector enhances data accessibility, streamlines data management, and improves overall user experience, providing significant value for more efficient and effective data handling.

You can leverage your data in Databricks by bringing it to your agent through the Databricks knowledge source and reasoning on top of your data.

• Virtualization of external data sources like SQL, Salesforce, SharePoint, Snowflake, Fabric, Oracle.
• Create one-to-many and many-to-one relationships between Dataverse native tables to virtual tables and vice versa.
• Create one-to-many and many-to-one relationships between two virtual tables.
• Sort and filter on virtual tables.

The tenant-to-tenant environment move feature empowers tenant administrators with the ability to self-serve and migrate their environments from a source tenant to a target tenant using PowerShell. This feature is designed to streamline the migration process, providing admins with greater control and flexibility.

By leveraging PowerShell, tenant admins can initiate and manage the migration process independently, without the need for extensive support or intervention.