AI in Dataflow, Azure ML Studio Integration with Power BI Services – Part 3


In the last two parts, first how we able to use cognitive service in Power BI service (Data flow) has been explained. Then in the second one, the process of using a Pre-built machine learning model for prediction ( classification, regression, and forecasting) has been explained.

In this post, I am going to show how to consume an Azure ML Studio web service in Power BI service Data Flow

First: Create an Azure ML Studio Model in Standard Licence.

I am going to create a model, for the Titanic problem (Post 2)

To create a model in Azure Ml Studio follow chapter 10 in this book

create a model in Azure ML Studio like below 

Just make sure to use a Standard subscription.

Create an  Azure ML Studio model, then run the model.

Then create a web service with “Deploy Web Service [New] Preview” ,This is is just available in the standard license

after creating the web service, you should able to see it under the web service portal


Some Admin Note

Note 1:  Your Power BI Premium Subscription better to be in same your Azure ML Studio Standard.

Note 2: If not, you need to make Co-Administrator Both  Subscription see from 



Second: Import Data into Data Flow and Clean Data

 Now, in the next step, import the Titanic Dataset into the Data flow  (see post 2). 

In the next step, you need to change the data type: Passenger class data type to number, also change the Age to numeric value.



In the next step, you need to save and store the data ( it will takes some time).

Now click on the AI Insight.

and you able to see the Azure ML experiment there


In the next step, you able to see the list of input for machine learning. Just we need to make sure the data type is the same as we identify in the web service.

Next just click on the Invoke button.

Now you able to load the data, save it and refresh the data.

You are able to see the result, in the Power BI desktop. login with Power BI premium account and click on the get data and choose the Data flow.


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Leila Etaati
Trainer, Consultant, Mentor
Leila is the first Microsoft AI MVP in New Zealand and Australia, She has Ph.D. in Information System from the University Of Auckland. She is the Co-director and data scientist in RADACAD Company with more than 100 clients in around the world. She is the co-organizer of Microsoft Business Intelligence and Power BI Use group (meetup) in Auckland with more than 1200 members, She is the co-organizer of three main conferences in Auckland: SQL Saturday Auckland (2015 till now) with more than 400 registrations, Difinity (2017 till now) with more than 200 registrations and Global AI Bootcamp 2018. She is a Data Scientist, BI Consultant, Trainer, and Speaker. She is a well-known International Speakers to many conferences such as Microsoft ignite, SQL pass, Data Platform Summit, SQL Saturday, Power BI world Tour and so forth in Europe, USA, Asia, Australia, and New Zealand. She has over ten years’ experience working with databases and software systems. She was involved in many large-scale projects for big-sized companies. She also AI and Data Platform Microsoft MVP. Leila is an active Technical Microsoft AI blogger for RADACAD.

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