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I am Fascinated by sophistication of Azure services and how they help us to improve our solutions and extend the way we can solve customer problems. Recently I had a requirement to implement  a dynamics 365 solution to enable a call center to capture cases while their operators are offline.

One solution was to provide a self-service portal to customers to log the cases when Call center operators are offline. But in this case the customer was looking for something very quick to implement and having the ability to link incoming cases with their call center channel and derive some reporting based on it.


I started looking at Azure services and see how I can use Azure cognitive services and speech recognition to help me solve this requirement and like always I Azure did not disappoint me. In this post I would like to share my experience with you and take you to the steps that you would need to create such a solution. Of course possibilities are endless. However, this post will give you a starting point to begin your journey.

I have seen solutions where telephony systems send voice recordings of callers as an email attachment to a queue in CRM. The CRM then converts that queue item to a case and attaches the voice recording as note to the case. The challenge with this solution is the call center operators have to open attachments manually and have to write the description of the case after listening to the audio file. This means their time is spent on inefficient activities whereas they should be utilize in better ways.

Another problem with this approach is size of attachments. As time goes by, audio attachments will increase the database size impacting the maintenance of solution.


Our scenario is based on the fact that call center agents are not working 24 hours a day.

While agents  are offline customer should still be able to contact call center record the voice messages to create cases.

We will use the following components:

  1. Azure Blob to receive recorded audio files from telephony system.
  2. Azure cognitive services to listen to recorded audio files and translate the content to a text message. The audio file will be saved in  Azure blob (which is cheaper than CRM database storage).
  3. Azure function (with Azure Blob Binding) to recognize the text from the audio file and extracts the case description.
  4. Dynamics 365 Web API to create a case in CRM using the description extracted from Azure Cognitive services.  We can also add blob metadata like filename, etc. to case properties.
Solution Architecture

The full source code is available at GitHub

However, the main code snippet to perform conversion is below:

 public static async Task <string> RecognitionWithPullAudioStreamAsync ( string key, string region, Stream myBlob , ILogger log )


            // Creates an instance of a speech config with specified subscription key and service region.

            // Replace with your own subscription key and service region (e.g., "westus").

            var config = SpeechConfig.FromSubscription(key, region);

            string finalText = string.Empty;

            var stopRecognition = new TaskCompletionSource<int>();

            // Create an audio stream from a wav file.

            // Replace with your own audio file name.

            using ( var audioInput = Helper. OpenWavFile ( myBlob ) )


                // Creates a speech recognizer using audio stream input.

                using ( var recognizer = new SpeechRecognizer ( config , audioInput ) )


                    // Subscribes to events.

                    recognizer. Recognizing += ( s , e ) =>



                    recognizer. Recognized += ( s , e ) =>


                        if ( e. Result. Reason == ResultReason. RecognizedSpeech )


                            finalText += e. Result. Text + " ";


                        else if ( e. Result. Reason == ResultReason. NoMatch )


                            log.LogInformation ( $"NOMATCH: Speech could not be recognized." );



                    recognizer. Canceled += ( s , e ) =>


                        log. LogInformation ( $"CANCELED: Reason={e. Reason}" );

                        if ( e. Reason == CancellationReason. Error )


                            log. LogInformation ( $"CANCELED: ErrorCode={e. ErrorCode}" );

                            log. LogInformation ( $"CANCELED: ErrorDetails={e. ErrorDetails}" );

                            log. LogInformation ( $"CANCELED: Did you update the subscription info?" );


                        stopRecognition. TrySetResult ( 0 );


                    recognizer. SessionStarted += ( s , e ) =>


                        log. LogInformation ( "\nSession started event." );


                    recognizer. SessionStopped += ( s , e ) =>


                        log. LogInformation ( "\nSession stopped event." );

                        log. LogInformation ( "\nStop recognition." );

                        stopRecognition. TrySetResult ( 0 );


                    // Starts continuous recognition. Uses StopContinuousRecognitionAsync() to stop recognition.

                    await recognizer. StartContinuousRecognitionAsync ( ). ConfigureAwait ( false );

                    // Waits for completion.

                    // Use Task.WaitAny to keep the task rooted.

                    Task. WaitAny ( new [ ] { stopRecognition. Task } );

                    // Stops recognition.

                    await recognizer. StopContinuousRecognitionAsync ( ). ConfigureAwait ( false );

                    return finalText;




Important considerations:

  1. [This point is optional, if you use Web API to create cases in CRM] You will need use Multi-tenant configuration, if your Azure Function Tenant and the tenant in which your CRM API is registered, are different. If your Azure function tenant and the tenant in which your CRM API is registered, you can use Single Tenant configuration.
  2. The input file from the telephony to Azure blob must be in a specific format. The required format specification is:
Property Value
File Format RIFF (WAV)
Sampling Rate 8000 Hz or 16000 Hz
Channels 1 (mono)
Sample Format PCM, 16-bit integers
File Duration 0.1 seconds < duration < 60 seconds
Silence Collar > 0.1 seconds


4. You can use ffmpeg tool to convert your recording to this specific format. For your testing, you can download and use the tool as below:
Download ffmpeg from this link.
Use the command: ffmpeg -i “<source>.mp3” -acodec pcm_s16le -ac 1 -ar 16000 “<output>.wav”
5. My sample in GitHub covers input in one single chunk of audio. However, if you wish to have continuous streaming, you will need to implement the         StartContinuousRecognitionAsync method.
6. The azure function should be configured to be blob trigger.

Olá pessoal! Nesse video mostro para vocês como criar um flow que envia uma notificação para Teams utilizando os Adapatives Cards Alertando o vencimento de uma task!

Como sempre, seguem os links úteis e também o package do Flow:

Download package:!AklClOUMdrd8llzBlKQZsacnpiPB?e=Je34y6

Adaptive Cards Designer tool:

Doc functions reference:

Sessão do ignite:

Expressões utilizadas:



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#PowerApps #DeepLinking
Learn how to create Deep Links in your PowerApps applications. Deep Links enabled you to navigate your users directly to another screen nested in your app. You can use the Param() function in PowerApps to look for parameters in your URL and move to the appropriate screen. I also show a use case for this deep linking capability using SharePoint Column Formatting to go directly to an edit screen in your PowerApp.

Here’s a link to my blog which includes the JSON for the SharePoint Column Formatting piece:

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This is a standalone app which in this version gives a user the ability to read 3 poems of which one (Ogre’s Journey) is available as a translation in 63 languages.

It is intended to encourage others to think about accessibility from the perspective of language as part of the Global Hack for Education, and education generally. I understand that some of the translations may well be highly inaccurate, but this is part of the fun of trying to give your apps a far greater scale.

On the administration page there is a link to which should provide all the the data needed to update the app.

The app can be downloaded freely from

source TDG/Data Spinners

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In my earlier post, I discussed how to show CRM entities on Power BI visual map control. The usage of Power BI dashboard on Dynamics CRM dashboards is not limited to displaying multiple entities on maps. We usually want to do more and since dashboards have little information on them, we would love to see entities in tabular format and navigate to CRM records when needed. In this post, I will discuss how we can open CRM records from a Power BI dashboard.


Users should be able to see multiple entity types Power BI map. Users should be able to see record details in a table under the map control with the ability to open CRM records using a hyper link. I will focus on displaying records in a table with direct link to CRM entity records. After configuring the visual map control, we will need to do the following:

Note that all the required information i.e. name, etc. and complementary information i.e. entity logical name, entity ID are available in our temporary table. Refer to previous post

  1. Drag and drop a Table control underneath of our visual map control.
  2. Drag and drop the fields we would like to display on table columns.

  3. The next is adding one custom column to the table to hold hyperlink to CRM entity records and configure its type as WEB LINK.
  4. You can do this by selecting “NEW COLUMN” from the “Modeling Tab”. Remember you will need the following three components to construct the line.
    1. CRM Base URL (This will be known to you from your org URL).
    2. Entity logical name (This is what we captured in the previous post as a custom column in our temporary table).
    3. Entity GUID (This was selected also as part of entity retrieve query in the previous post).
  5. The formula for the column is:
    Link = “https://[CRM BASE URL]?pagetype=entityrecord&etn=”&’ENTITY_LOGICAL_NAME &”&id=”&’ENTITY_ID’
  6. You will need to set the field type as WEB LINK.


Photo by Susannah Burleson on Unsplash

Recently I had to display location of multiple entities on a CRM dashboard. The requirement was to display all Workorders, Projects, Resources and Bookings in a map control so the project scheduler / field service dispatcher could see where is the location of each Workorders, Projects, Resources and Bookings on map. The bing map control works fine on individual entities which are enabled for geolocation however, in this scenario I had to plot all different entities on a single map.

My thoughts were that I could choose from one of the following methods:

  1. Use bing map control on a dashboard. Use a webresource to retrieve all entities in Workorders, Projects, Resources and Bookings. And then use a draw function to place each entity location on the bing map.
  2. The second approach was to use Power BI and its Visual Map control to plot all entities on a map. Then host the Power BI control on my dashboard. I decided to use this approach to display entities on a map control.

Power BI Map control to show multiple entities

The map control in Power BI uses one source table with longitude and latitude information to display table rows on map. The challenge with this approach is that the visual map control supports only one entity’s longitude and latitude and therefore we can only use one entity as source of the map data. In my scenario I had multiple entity types i.e. Workorders, Projects, Resources and Bookings. Each of these entities have its own longitude and latitude and we cannot use all these entities together as  a source for our Power BI Map.

The way I overcome to this challenge was to use a temporary table to union data from all Workorders, Projects, Resources and Bookings in this table and use this temporary table as the source of Power BI Map control. This is how I did it:

  1. Connect to the CRM Bookings table. This will bring all columns of the table to the Power BI.
  2. Remove unwanted columns in the Query Editor (optional).
    = Table.SelectColumns(Source,{"name", "msdyn_longitude", "msdyn_worklocation", "bookableresourcebookingid", "msdyn_latitude"})
  3. Reorder remaining columns in a way that you like to see your data (optional).
    = Table.ReorderColumns(#"Removed Other Columns",{"name", "msdyn_longitude", "msdyn_worklocation", "msdyn_latitude", "bookableresourcebookingid"})
  4. Rename column headings (optional).
    = Table.RenameColumns(#"Reordered Columns1",{{"bookableresourcebookingid", "id"}})
  5. Filter rows that you want to exclude from map (optional).
    = Table.SelectRows(#"Renamed Columns", each [latitude] <> null)
  6. Add a custom column to the query as TABLE Identifier/Category so you can identify workorder rows in the union table.
    = Table.AddColumn(#"Filtered Rows", "category", each Text.Upper("Bookable Resource Booking"))
  7. Change the column types (optional).
    = Table.TransformColumnTypes(#"Reordered Columns",{{"category", type text}, {"longitude", type number}, {"latitude", type number}})

If you have more than one entity, repeat the above steps for each table in your query editor.

The next step is to create a temporary table and union all the above tables data using DAX query into this temporary table.

  1. Go to Modeling Table.
  2. Click on New Table. Use the below query to fill the table (Alter table names based on your scenario),
    TempTable = UNION('Bookable Resource Booking','Bookable Resources','Work Orders','Project Sites')
  3. Drag a Map Visualisation control to the Power BI.
  4. Select “Category” or Entity Name from the TempTable as Legend. This will ensure to show your entities in different colors.
    Drag longitude and Latitude fields to the X and Y axis.
  5. Note: By default when you form tables, Power BI adds SUM function to summarize longitude and latitude. These columns with summarize functionality don’t work in maps. You must remove summarize attribute from them by choosing “Don’t summarize”.

1. How to create gallery in Embedded Canvas App
2. How to filter using Polymorphic Lookup

Part 1

Polymorphic Lookup

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