Microsoft Azure Machine Learning Studio Benefits

Rishi Verma - PeerSpot reviewer
Practice Director at Birlasoft IndiaLtd.

The product enables quick data preparation and data processing pipeline as well as modeling work and it's all part of Azure Machine Learning. It also gives us an idea of what machine learning model is good to use because the hyperparameter tuning is done automatically which saves us time and effort. 

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Vijay Rameshkumar - PeerSpot reviewer
Data Scientist at Sunergy


Performing tasks in a cloud service is incredibly straightforward. It offers excellent scalability and provides both JUPITAN and designer environments. There's no need to write extensive code; instead, you can simply drag and drop elements and connect components effortlessly. This allows for the creation of end-to-end workflows with minimal effort. It's a user-friendly and scalable solution, which is why I prefer working with it. Additionally, it allows for effective version control management.
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CS
Owner at Channing Stowell Associates

Increased sales force productivity by permitting them to prioritize activity during peak leasing periods on those leads most likely to close

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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.
765,234 professionals have used our research since 2012.
it_user848265 - PeerSpot reviewer
System Analyst at a financial services firm with 1,001-5,000 employees

With this tool we could have all benefits of a cloud environment, such as scalability and access to machine-learning applications. These features are very important when you have large datasets and critical applications.

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Gerald Dunn - PeerSpot reviewer
Director and Owner at Standswell Ltd

Through the solution's customer data analysis, we conduct customer data experiments, test hypotheses, and develop sales strategies.

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Marta Frąckowiak - PeerSpot reviewer
Student at Gdańsk University of Technology

In terms of features, I personally find Azure to be clearer and better than Google because it provides better quality and clarity regarding what needs to be done.

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MR
Principal Data Engineer at Turing

ML Studio is very easy to maintain. It's also very portable because it has ARM templates to export to replicate your experiments in separate environments. That's useful if you move an experiment to a different resource group because you want to run a new experiment. It has a strong role-based access control that helps you keep track of who's accessing what, and it has a very good data lineage tool that allows you to version and understand each of the experiments and their results. You have a very good track of everything, and you can easily distinguish between experiments and execution times and which parts where the pipelines are failing. ML Studio gives you a lot of identifiability for each one of the components of your entire experiment.

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AM
Global Data Architecture and Data Science Director at FH

It allows us to do machine learning experiments quickly.

We did not have machine learning solutions or platform earlier.

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

We have reduced the theme size front-line agents by ten percent using the AI elements on chat and email response.

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it_user833565 - PeerSpot reviewer
Software Engineer

Not widely adopted at my old workplace, I only used this to create quick proofs of concept to try to convince management of the viability of a project.

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EC
student at a university with 201-500 employees

Personally, I got interested in data science and machine learning due to using this product. After some time with it, these topics didn't intimidate me.

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NJ
Senior Associate - Data Science at a consultancy with 51-200 employees

It has helped in reducing the time involved for coding using R and/or Python. Also, web service is quite easy and convenient to use for clients. 

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JN
Co-Founder at a tech services company with 51-200 employees

Simplified development as scripts can be designed and implemented in real time.

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it_user837534 - PeerSpot reviewer
Process Analyst

Thanks to the model I designed, the productivity of processing invoices has increased by over 11%, because the team members only verify invoices that are discrepancy-free now.

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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.
765,234 professionals have used our research since 2012.