4.1 out of 5.0 (18 ratings)
16 Verified Reviews

Microsoft Azure Machine Learning

Azure ML Run Slow

Azure ML is a bit slow. Training on 50,000 data set toom 15 minutes. The data set was housed in the Azure Blob. We also rean into SWAGGER error, which we needed to reach out to Microsoft vender to help trouble shoot.

Microsoft Azure Machine Learning

Implementation was easy but security needs to be thought ahead

The overall experience was good. Having a strategic relationship with MS enables us to have access to resources that typically would not be available to all other organizations. With that the ability to ask the right questions and have Design Sessions enabled us to understand the capability and have a better understanding of how the capability was going to be leveraged.

Microsoft SQL Server 2000/2005/2008/2012/2014

Microsoft SQL Server BI Stack

All worked very well. Minor and few things did not work very well but they were very managable.

Microsoft SQL Server 2000/2005/2008/2012/2014, Other...

Analysis Services

For Analysis Services the research support is relatively limited

Microsoft Azure Machine Learning

Powerful, easy to use, integration with key open source data science tools

Great web-based UI for ETL, modeling, and deployment to web service. Some challenges remain around versions of open source packages supported, but overall the platform is best in class.

Microsoft Azure Machine Learning

Easy to use and to scale, with less than 60% of time and money

We moved the 90% of all our internal machine learning systems to the Azure ML Studio in less than 3 weeks. Now all the process is in strreaming in Azure and we have the possibility to lunch multiply instance of test / learning with less than 60% of the previous time and resources. Using Python and Jupiter notebook integration!

Microsoft Azure Machine Learning

Was easy nedd to mature some aspects

Ease to implement the dificult piece was changing clien culture totake decisions based om information

Microsoft Azure Machine Learning

Wonderful, intuitive product

NA

Microsoft Azure Machine Learning, Microsoft SQL Server 2000/2005/2008/2012/2014

Neutral at this time

Still reviewing and testing product due to so many internal legacy systems we would need to ensure that any product utilized maintains no risk because of PII data.

Microsoft Azure Machine Learning

Learning ML was straightforward, fit in well with our investments in the Microsoft stack

Azure ML very easy to pickup. We had a number of different profiles of people learn Azure ML (Business Analysts, Data Analysts), even summer interns. They were able to quickly understand the tool and use it to solve business problems.