AI – Nishant Rana's Weblog

Visualize Data in a View with Copilot (Preview) – Dataverse / Dynamics 365

The copilot-powered data visualization in views feature, currently in preview, allows us to generate quick and insightful charts from Dataverse table views using natural language. We can select a table view and ask Copilot to generate visualizations, making data interpretation easier.

Natural Language Queries – Ask Copilot in simple terms to generate relevant charts.
Multiple Chart Types – Bar charts, pie charts, line graphs, and more.
Instant Insights – No need to build reports; visualize directly from your data view.
Interactive Refinements – Modify the chart type or tweak the data selection.

To enable it, for the environment, navigate to Settings >> Features and enable Natural Language Grid and View Search.

We can see the Visualize button added to the views.

A screenshot of a computer

AI-generated content may be incorrect.

It generates the Chart based on the data in the view.

Selecting a particular area filters the data in the view accordingly.

We also have the option to change the chart type, copy the chart, expand the view, etc.

A screenshot of a computer screen

AI-generated content may be incorrect.

We can also use natural language to specify the data or can select AI-generated suggestions for the views.

More on Natural Language Grid and View Search – https://nishantrana.me/2025/02/04/check-out-the-natural-language-grid-and-view-search/

Here we selected/specified the query “Cases where customer is Alpine Ski House” and the Chart and View updated accordingly.

This Copilot-driven data visualization feature is a game-changer for users who need quick insights from their data without setting up complex reports. With just a few clicks and simple queries, Power Apps can now deliver meaningful charts on the fly.

Get more information

Hope it helps..

Check Out the Natural Language Grid and View search

The new Smart Grid Preview feature allows us to find, filter, and sort data with natural language.

To enable it navigate to Environment >> Settings >> Features inside Power Platform Admin Center and turn on Natural Language Grid and View Search.

A screenshot of a computer

Description automatically generated

After enabling it we will see a search box on the grid page where we can type in questions about our data in plain English.

Let’s say we need to find “Contacts from the company Contoso”. Normally, this would mean defining the filters/query. But with the Smart Grid’s natural language search, we just type the request, and the system filters the view accordingly.

The result –

We can also use it to sort data.

Another example

The result –

Using natural language search has loads of benefits:

Ease of Use: Do complex searches without needing to be tech-savvy.
Speed: Find what you need quickly without navigating through multiple filters.
Accessibility: Makes data interaction easy for everyone, even if you’re not a tech pro.

As it’s still in preview, there are a few things the Smart Grid Preview doesn’t support yet:

Query Aggregation
Query Grouping
Adding Columns

Remember, it’s still a work in progress and not ready for full production use.

Get more details here

Hope it helps ..

Using Azure Bot Service to create Bot

Using Microsoft Bot Framework

Azure Bot Service is an integrated environment that allow us to easily register, build, deploy our bots. It provides the required components and hosting environment for creating bots through Bot Builder SDK using either C# or JavaScript and connector service to connect to various channels.

https://portal.azure.com

Search for Web App Bot

We have selected Basic Bot template.

After the Bot Web App is created, we have the option to either Download Bot Source Code to keep developing using Visual Studio or we can open it in online code editor.

Online Code Editor allows to update the source code within the App Service Editor

As the basic bot app template uses the Language Understanding Intelligent Services, we can log on to the Luis

https://www.luis.ai/welcome

There we can see the app.

With all the corresponding Intents, Entities and Utterances.

To test the bot either we can either download the emulator for testing locally or can test online using Web Chat.

Select Test in Web Chat

After we have tested it, next we add channel to our Bot, here we will add Skype.

Below are some of the configuration that can be applied for Skype.

Messaging gives the option of enabling the messaging, Calling let us to enable calling, groups allows us to add the bot to groups and Publish option allows to publish the bot and also submit it for review if it to be used by more than 100 contacts as shown below.