Microsoft Azure Machine Learning Studio Room for Improvement

it_user1050483 - PeerSpot reviewer
CEO at Inosense

If you want to be able to deploy your tools outside of Microsoft Azure, this is not the best choice.

One of the problems that we had was that you could only execute the model inside the machine learning environment. Comparing this to Databricks, if you create a pipeline, it could be in a notebook and you have all the code and then you can export your notebook to some other tool directly, for example in Jupyter and Spark. If you change tools then you won't lose your assets.

I would like to see improvements to make this solution more user-friendly.

They need to have some tools, like Apache Airflow, for helping to build workflows.

Better tools are needed to bring the data from existing storage into the environment where they can play with it and start to analyze what they already have, on-site. This is what the majority of people would like to do.

A feature that would be useful is to have some standard data transportation functions. They have ADF, Azure Data Factory, but it's a little bit heavy to manipulate. If they could have something more user-friendly, like Apache Airflow, it would be very nice.

View full review »
Rishi Verma - PeerSpot reviewer
Practice Director at Birlasoft IndiaLtd.

It's not that easy to master the program, it requires some specific learning. If we want to extend the program to include inexperienced users, it can take some time for them to learn the solution. It would be nice if they added GPU solutions. Most of the solutions coming out now are video analytics or edge computing-based and Azure should have that focus.  

View full review »
Viswanath Barenkala - PeerSpot reviewer
Associate Vice President at State Street

There have been issues with environmental creation. It can take a lot of time. The speed of deployment should be faster, as should testing. 

View full review »
Buyer's Guide
Microsoft Azure Machine Learning Studio
March 2024
Learn what your peers think about Microsoft Azure Machine Learning Studio. Get advice and tips from experienced pros sharing their opinions. Updated: March 2024.
765,386 professionals have used our research since 2012.
Jenitha P - PeerSpot reviewer
Analyst at PepsiCo

The solution cannot connect to private block storage. It does not allow this connection, which is a pain point. The confidential data needs to be removed from the block, and that becomes a security issue. 

In Azure Databricks, how we are promoting the models could be easier. The UI in Daabricks is a bit easier. We'd like ML Studio to be streamlined. 

View full review »
Jiten C - PeerSpot reviewer
Associate Data Scientist at JSA Healthcare Corporation

Though I won't outrightly state it is an expensive solution, I think it should be made cheaper for certain people.

View full review »
Vijay Rameshkumar - PeerSpot reviewer
Data Scientist at Sunergy

In the Machine Learning Studio, particularly the Designer part, which is essentially Azure's demo designer, there is room for improvement. Many customers and users tend to switch to Microsoft Azure Multi-Joiners, which is a more basic version, but they do so internally.

One area that could use enhancement is the process of connecting components. Currently, every time you want to connect a component, such as linking it to your storage or an instance like EC2, you have to input your username and password repeatedly. This can be quite cumbersome. Google, for instance, has made it more user-friendly by allowing easy access for connecting services within a workspace. In a workspace, you can set up various resources like storage, a database cluster, machine learning studio, and more. When connecting these services, there's no need to enter your username and password each time, making it a more efficient process. Another aspect to consider is the role of the designer, and they were to integrate a large language model to handle various tasks, it could significantly enhance the overall scalability and usability of the platform.

View full review »
HéctorGiorgiutti - PeerSpot reviewer
Senior Machine Learning Engineer at EY

The price of the solution has room for improvement.

View full review »
William Foo - PeerSpot reviewer
Technical Director at Integral Solutions (Asia) Pte Ltd

Improvement will be possible with more machine learning functionalities in Microsoft Azure Machine Learning Studio since, at times, the current accuracy of the solution is not good enough. It would be good if Microsoft Azure Machine Learning Studio could have a generative AI tool similar to ChatGPT.

View full review »
N Kumar - PeerSpot reviewer
Associate Director Of Technology at a tech vendor with 10,001+ employees

As for the areas for improvement in Microsoft Azure Machine Learning Studio, I've provided feedback to Microsoft. My company is a Gold Partner of Microsoft, so I provided my feedback in another forum. Right now, it is the number of algorithms available in the designer that has to be improved, though I'm sure Microsoft does it regularly.

When you take a use case approach, Microsoft has done that in a lot of places, but not on the Microsoft Azure Machine Learning Studio designer. When I say use case basis, I meant recommending a product or recommending similar products, so if Microsoft can list out use cases and give me a template, it will save me a lot of time and a lot of work because I don't have to scratch my head on which algorithm is better, and I can go with what's recommended by Microsoft.

I'm sure that isn't a big task for the Microsoft team who must have seen thousands of use cases already, so out of that experience if the team can come up with a standard template, I'm sure it'll help a lot of organizations cut down on the development time, as well as going with the best industry-standard algorithms rather than experimenting with mine.

What I'd like to see in the next version of Microsoft Azure Machine Learning Studio, apart from the use case template, is the improvement of the availability of libraries. Microsoft should also upgrade the Python versions because the old version of Python is still supported and it takes time for Microsoft to upgrade the support for Python. The pace of upgrading Python versions of Microsoft Azure Machine Learning Studio and making those libraries available should be sped up or increased.

View full review »
CS
Owner at Channing Stowell Associates

In terms of improvement, I'd like to have more ability to understand the detailed impact of the variables on the model and their interactions. Their algorithms are very powerful and they explain overall the net contribution of each of the variables to the solution. In terms of being able to say to people "If you did this, you'll get this much more improvement" Azure (at least my understanding of it) doesn't provide readily accessible tools to assess from a management perspective the impact of their changing a sinimized, the better.gle value - for instance in closing a lead, decreasing response time by 10%.

I recognize that the multivariate algorithms used from decision trees to neural nets do not readily provide the coefficients for each variable ala the older regression modeling approaches. My experience over my 50 years of developing and implementing predictive models has been that more than half the value of modeling lies in improving management's understanding of the process being modeled, often leading to major organization and operational structure changes. More ability to understand the variables impacting the end result being optimized would be very useful. 

View full review »
it_user848265 - PeerSpot reviewer
System Analyst at a financial services firm with 1,001-5,000 employees

For my project/exercise, this tools was perfect. I would like to see modules to handle Deep Learning frameworks.

View full review »
Gerald Dunn - PeerSpot reviewer
Director and Owner at Standswell Ltd

It would be great if the solution integrated Microsoft Copilot, its AI helper.

View full review »
Marta Frąckowiak - PeerSpot reviewer
Student at Gdańsk University of Technology

The icons in the solution could be improved to include examples of how to use each container, as sometimes it's unclear which container to choose. It would be helpful to provide examples to understand better which virtual machine or how many courses to use. Overall, the icons in the solution could be improved to provide better guidance to users.

Additionally, the setup process for the solution could be made easier.

View full review »
Himanshu Agarwal - PeerSpot reviewer
Principal Consultant at a financial services firm with 10,001+ employees

Technical support could improve their turnaround time. 

View full review »
JD
Full stack Data Analyst at a tech services company with 10,001+ employees

I have found Databricks is a better solution because it has a lot of different cluster choices and better integration with MLflow, which is much easier to handle in a machine learning system.

The developers for this solution have not been as active in improving it as other solutions have had more improvements, such as Databricks.

Sometimes there might be some data drifting problems and this is what I am currently working on. For example, when our new data has a drift from the previous old data. I need to first work out a solution. Azure in Databricks or in Azure Machine Learning Studio both works fine. However, the normal data drifting solution is not working that well for the problem that I am facing. I am able to receive the distribution change and numerical metrics changes, but it will not inform me how to fix them.

View full review »
FF
Lead Engineer at EDP

The product must improve its documentation.

View full review »
WaleedAli - PeerSpot reviewer
Data Science Lead at a energy/utilities company with 51-200 employees

The initial setup time of the containers to run the experiment is a bit long.

View full review »
AB
STI Data Leader at grupo gtd

Microsoft Azure Machine Learning Studio could improve by adding pixel or image analysis. This is a priority for me.

View full review »
Osama Aboulnaga - PeerSpot reviewer
Director - Data Platform & Analytics at Netways

The regulatory requirements of the product need improvement. Many customers, including government clients, need data processing on the cloud. However, because of these regulatory requirements, I cannot use the website's machine learning and data features. I have to do everything manually, which is very time-consuming. I am trying to save the metadata on the cloud and the people's data on-premises. Microsoft should improve the configuration process. Additionally, access to accessible sources from the mobile console should be available.

View full review »
Mahendra Prajapati - PeerSpot reviewer
Senior Data Analytics at a media company with 1,001-5,000 employees

Microsoft Azure Machine Learning Studio worked okay for me, so right now, I don't have any room for improvement in mind for it.

What I'd like added to Microsoft Azure Machine Learning Studio in its next version is a categorization for use cases or a template that makes the use cases simple to map out, for example, for healthcare, medical, or finance use cases, etc. This would be very helpful for users of Microsoft Azure Machine Learning Studio, especially for beginners.

View full review »
MS
Owner at a tech services company with 1-10 employees

The solution's learning models developed using Python coding are not robust. The AI features need to summarize vast amounts of data into simple models. It must understand all the mathematical parameters and formulas within the models for reliable predictions. They need to work on this particular area. Also, they should provide integration with Microsoft Teams as well.

View full review »
AH
Assistant Manager Data Literacy at K electric

I used Azure Machine Learning in a free trial and I had a complete preview of the service. A problem that I encountered was that I had a model that I wanted to deploy and use on Azure Machine Learning, but there wasn't any option that that model can be used in the designer. I didn't find any option to upload my model, so that I can create my own block and use it in Azure Machine Learning designer.

I believe this is a problem because sometimes you have your model created on some other device and you just have a file that you think can be uploaded to Azure Machine Learning and can be tested through a simple drag and drop tool.

View full review »
Danuphan Suwanwong - PeerSpot reviewer
Data Scientist at Coraline

There's room for improvement in terms of binding the integration with Azure DevOps. I find the process somewhat intricate, especially when connecting to the issue-tracking system. Numerous steps and configurations need to be set up before effectively utilizing Azure DevOps. When it comes to the Home Office Machine Learning suite, I believe it would be more beneficial if there were shared capabilities for internet projects.

View full review »
AM
Global Data Architecture and Data Science Director at FH

Every tool requires some improvement. They have already improved many things. They had added new features and a new pipeline.

They should have an on-premise version, other than Python and R Studio, which is only good for cloud-based deployments.

If they could have a copy of the on-premise version on Mac or Linux or Windows, it would be helpful.

It should have the flexibility to work o the desktop. They should have a desktop version to work on the platform.

View full review »
MD
Head Of Analytics Platforms and Architecture at a manufacturing company with 10,001+ employees

We've found that the solution runs at a high cost. It's not cheap to utilize it.

Two additional items I would like to see added in future versions are software life cycle features and more security capabilities. There should be data access security, a role level security. Right now, they don't offer this.

View full review »
CP
Tech Lead at a tech services company with 1,001-5,000 employees

Some of the terminologies, or the way that the questions are asked, could be stronger. When people use local colloquialisms, it would be better if it understood rather than forwarding it to an agent.

If the frontline efficiencies were improved then we could pass this on to our clients.

Integration with social media would be a valuable enhancement.

View full review »
Ognian Dantchev - PeerSpot reviewer
Machine Learning Engineer at ALSO Finland Oy

The price could be improved.

View full review »
HA
Cloud Administrator at a retailer with 5,001-10,000 employees

The platform’s integration with Apache could be better.  

View full review »
LV
Advanced Analytics Lead at a pharma/biotech company with 1,001-5,000 employees

In the solution, there is the concept of workspaces, and there is no means to share the computing infrastructure across those workspaces. This would be something that would be helpful. Additionally, a better version for traceability functionality regarding data would be beneficial.

View full review »
VL
Senior Manager - Data & Analytics at a tech services company with 201-500 employees

The AutoML feature is very basic and they should improve it by using a more robust algorithm. It lacks deep learning type algorithms but works great for the basic classification and regression models.

View full review »
SS
Head - Data Analytics at a consultancy with 51-200 employees

The data preparation capabilities need to be improved. Using this product, I can not prepare the data very much and this is a bottleneck in machine learning.

There are some features that are not supported, so I have to use either Python or R to accomplish these tasks.

View full review »
KK
Data Scientist at a tech services company with 51-200 employees

Their web interface is good but the on-prem site interface is outdated. This solution could be improved if they could integrate the data pipeline scheduling part for their interface. When we are scheduling, they provide only one exclusion per day in the initial scheduling. We then have to configure it through the Linux front jobs if we want a high value job. It would help us and our customers if this was possible from the initial interface itself.

View full review »
it_user833565 - PeerSpot reviewer
Software Engineer

Enable creating ensemble models easier, adding more machine learning algorithms.

View full review »
PS
Data & AI CoE Managing Consultant at a consultancy with 201-500 employees

In the future, I would like to see more AI consultation like image and video classification, and improvement in the presentation of data.

View full review »
EC
student at a university with 201-500 employees

It's the first software that I've used in terms of machine learning. Therefore, I don't have anything to compare it to, however, it was okay for me. I didn't have any problems or anything.

Maybe it can be integrated with something else. For example, business analytics. That way, you could also give creative reports. It's possible it could be integrated with the Power BI, as it's also Microsoft. That said, I'm not really sure. It if isn't possible, it's something they could consider for a future release.

Microsoft needs to be sure to monitor the security and ensure they are constantly updating it.

It would be nice if the product offered more accessibility in general.

View full review »
it_user1274883 - PeerSpot reviewer
CRM Consultant at a computer software company with 10,001+ employees

On the customer side, the solution should do more to push companion marketing.

When you use different Microsoft tools, there are different pricing metrics. It doesn't make sense. The pricing metrics are quire difficult to understand and should be either clarified or simplified. It would help us sell the solution to customers.

The solution should simplify switching between platforms in the studio.

View full review »
SD
Business transformation advisor/Enterprise Architect at a tech services company with 51-200 employees

I really can't see where it needs much improvement. My experience is only half-matured and is still maturing.

I don't think we have reached the stage where the customer has enough cohesion to really complain about anything. Also, a Microsoft team is personally involved which really simplifies the process.

In the machine learning world, when you are defining the model, typically people go for an interesting library of algorithms that are available. It's an imperfect scenario. The world is not as ideal as we think: how we draw a mathematical or theoretical formula is not exactly as it seems. With encryption, this uncertainty is actually much higher — that's why you need to tweak your mathematical formula or completely customize it. For this reason, my team has a development platform where they can customize code when it fails.

View full review »
YA
Analyst Developer at a government with 1,001-5,000 employees

It is not easy. It is a complex solution. It takes some time to get exposed to all the concepts. We're trying to have a CI/CD pipeline to deploy a machine learning model using negative actions. It was not easy. The components that we're using might have something to do with this.

View full review »
Ognian Dantchev - PeerSpot reviewer
Machine Learning Engineer at ALSO Finland Oy

The interface is a bit overloaded.

View full review »
NT
Data & AI expert at a tech services company with 1,001-5,000 employees

I think they should improve two things. They should make their user interface more user-friendly. Integration could also be better. Because Microsoft Machine Learning is a Microsoft product, it's fully integrated with Microsoft Azure but not fully supported for other platforms like IBM or AWS or something else.

View full review »
GM
Director at a tech services company with 1,001-5,000 employees

The data cleaning functionality is something that could be better and needs to be improved.

There should be special pricing for developers so that they can learn this solution without paying full price.

View full review »
RL
CEO at a recruiting/HR firm with 1-10 employees

Operability with R could be improved.

View full review »
NJ
Senior Associate - Data Science at a consultancy with 51-200 employees

It could use to add some more features in data transformation, time series and the text analytics section. Microsoft should also include more examples and tutorials for using this product.

View full review »
JN
Co-Founder at a tech services company with 51-200 employees

I would like to see better prediction and analysis.

View full review »
OA
Big Data & Cloud Manager at a tech services company with 1,001-5,000 employees

The solution should be more customizable. There should be more algorithms. 

The solution needs more functionality.

View full review »
it_user837534 - PeerSpot reviewer
Process Analyst

I personally would prefer if data could be tunneled to my model through a SAP ERP system. It also needs features of Excel, such as Pivot Tables, integrated.

View full review »
Buyer's Guide
Microsoft Azure Machine Learning Studio
March 2024
Learn what your peers think about Microsoft Azure Machine Learning Studio. Get advice and tips from experienced pros sharing their opinions. Updated: March 2024.
765,386 professionals have used our research since 2012.