Microsoft Azure Machine Learning Studio Pros and Cons

Microsoft Azure Machine Learning Studio Pros

Alexandre Akrour
CEO at Inosense
The most valuable feature of this solution is the ability to use all of the cognitive services, prebuilt from Azure.
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ChrisPeddie
Tech Lead at a tech services company with 1,001-5,000 employees
The most valuable feature is the knowledge bank, which allows us to ask questions and the AI will automatically pull the pre-prescribed responses.
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MikayilBekooglu
CRM Consultant at a software R&D company with 10,001+ employees
The UI is very user-friendly and that AI is easy to use.
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Adnan Ul Haq Bar
Assistant Manager Data Literacy at K electric
Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills.
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Omar AKIL
Big Data & Cloud Manager at a tech services company with 1,001-5,000 employees
The solution is very fast and simple for a data science solution.
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Girish Mudlagiri
Director at a tech services company with 1,001-5,000 employees
The most valuable feature is data normalization.
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Microsoft Azure Machine Learning Studio Cons

Alexandre Akrour
CEO at Inosense
If you want to be able to deploy your tools outside of Microsoft Azure, this is not the best choice.
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ChrisPeddie
Tech Lead at a tech services company with 1,001-5,000 employees
Integration with social media would be a valuable enhancement.
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MikayilBekooglu
CRM Consultant at a software R&D company with 10,001+ employees
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.
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Find out what your peers are saying about Microsoft, Databricks, Alteryx and others in Data Science Platforms. Updated: June 2020.
425,604 professionals have used our research since 2012.
Adnan Ul Haq Bar
Assistant Manager Data Literacy at K electric
A problem that I encountered was that I had to pay for the 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.
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Omar AKIL
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.
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Girish Mudlagiri
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.
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Find out what your peers are saying about Microsoft, Databricks, Alteryx and others in Data Science Platforms. Updated: June 2020.
425,604 professionals have used our research since 2012.