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."The solution is scalable."
"Auto email and studio are great features."
"Their web interface is good."
"The initial setup is very simple and straightforward."
"ML Studio is very easy to maintain."
"Microsoft Azure Machine Learning Studio is easy to use and deploy."
"The AutoML is helpful when you're starting to explore the problem that you're trying to solve."
"The interface is very intuitive."
"The initial setup is quite simple."
"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 price of the solution has room for improvement."
"This solution could be improved if they could integrate the data pipeline scheduling part for their interface."
"There's room for improvement in terms of binding the integration with Azure DevOps."
"One problem I experience is that switching between multiple accounts can be difficult. I don't think there are any major issues. Mostly, the biggest challenge is to identify business solutions to this. The tool should keep on updating new algorithms and not stay static."
"The speed of deployment should be faster, as should testing."
"In the future, I would like to see more AI consultation like image and video classification, and improvement in the presentation of data."
"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."
"It is not easy. It is a complex solution. It takes some time to get exposed to all the concepts. We're trying to have a CI/CD pipeline to deploy a machine learning model using negative actions. It was not easy. The components that we're using might have something to do with this."
"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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