We performed a comparison between Microsoft Azure Machine Learning Studio and OpenVINO based on real PeerSpot user reviews.
Find out in this report how the two AI Development Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It helps in building customized models, which are easy for clients to use."
"Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills."
"The drag-and-drop interface of Azure Machine Learning Studio has greatly improved my workflow."
"When you import the dataset you can see the data distribution easily with graphics and statistical measures."
"The solution is very easy to use, so far as our data scientists are concerned."
"The solution is easy to use and has good automation capabilities in conjunction with Azure DevOps."
"The learning curve is very low. Operationalizing the model is also very easy within the Azure ecosystem."
"It has helped in reducing the time involved for coding using R and/or Python."
"The features for model comparison, the feature for model testing, evaluation, and deployment are very nice. It can work almost with all the models."
"The inferencing and processing capabilities are quite beneficial for our requirements."
"The initial setup is quite simple."
"They should have a desktop version to work on the platform."
"The product must improve its documentation."
"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."
"n the solution, there is the concept of workspaces, and there is no means to share the computing infrastructure across those workspaces."
"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."
"If you want to be able to deploy your tools outside of Microsoft Azure, this is not the best choice."
"We can create a label job, but we still have to use the Azure Machine Learning REST APIs, which are not yet supported in the Python SDK version 2."
"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."
"At this point, the product could probably just use a greater integration with more machine learning model tools."
"The model optimization is a little bit slow — it could be improved."
"It has some disadvantages because when you're working with very complex models, neural networks if OpenVINO cannot convert them automatically and you have to do a custom layer and later add it to the model. It is difficult."
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Microsoft Azure Machine Learning Studio is ranked 1st in AI Development Platforms with 53 reviews while OpenVINO is ranked 11th in AI Development Platforms. Microsoft Azure Machine Learning Studio is rated 7.6, while OpenVINO is rated 8.6. The top reviewer of Microsoft Azure Machine Learning Studio writes "Good support for Azure services in pipelines, but deploying outside of Azure is difficult". On the other hand, the top reviewer of OpenVINO writes "A free toolkit providing improved neural network performance". Microsoft Azure Machine Learning Studio is most compared with Google Vertex AI, Databricks, Azure OpenAI, TensorFlow and Google Cloud AI Platform, whereas OpenVINO is most compared with TensorFlow, PyTorch, Azure OpenAI and Google Cloud AI Platform. See our Microsoft Azure Machine Learning Studio vs. OpenVINO report.
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