We performed a comparison between Microsoft Azure Machine Learning Studio and OpenVINO based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms."I like being able to compare results across different training runs. The hyperparameter tuning function is a valuable feature because it provides the ability to run multiple experiments at the same time and compare results."
"The interface is very intuitive."
"MLS allows me to set up data experiments by running through various regression and other machine learning algorithms, with different data cleaning and treatment tools. All of this can be achieved via drag and drop, and a few clicks of the mouse."
"The AutoML is helpful when you're starting to explore the problem that you're trying to solve."
"The learning curve is very low. Operationalizing the model is also very easy within the Azure ecosystem."
"I like that it's totally easy to use. They have an AutoML solution, and their machine learning model is highly accurate. They also have a feature that can explain the machine learning model. This makes it easy for me to understand that model."
"Their web interface is good."
"It is a scalable solution…It is a pretty stable solution…The solution's initial setup process was pretty straightforward."
"The initial setup is quite simple."
"The inferencing and processing capabilities are quite beneficial for our requirements."
"The features for model comparison, the feature for model testing, evaluation, and deployment are very nice. It can work almost with all the models."
"I would like to see modules to handle Deep Learning frameworks."
"One area where Azure Machine Learning Studio could improve is its user interface structure."
"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."
"This solution could be improved if they could integrate the data pipeline scheduling part for their interface."
"There should be data access security, a role level security. Right now, they don't offer this."
"In terms of data capabilities, if we compare it to Google Cloud's BigQuery, we find a difference. When fetching data from web traffic, Google can do a lot of processing with small queries or functions."
"The price could be improved."
"Technical support could improve their turnaround time."
"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 49 reviews while OpenVINO is ranked 10th 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 "Open-source, easy to integrate, and perfectly tailored to the Movidius chipset". Microsoft Azure Machine Learning Studio is most compared with Databricks, Google Vertex AI, Azure OpenAI, TensorFlow and Google Cloud AI Platform, whereas OpenVINO is most compared with TensorFlow, PyTorch, Azure OpenAI and Google Cloud AI Platform.
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