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."Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills."
"The solution is integrated with our Microsoft Azure tenant, and we don't have to go anywhere else outside the tenant."
"ML Studio is very easy to maintain."
"The most valuable feature of the solution is the availability of ChatGPT in the solution."
"The most valuable feature of Microsoft Azure Machine Learning Studio is the ease of use for starting projects. It's simple to connect and view the results. Additionally, the solution works well with other Microsoft solutions, such as Power Automate or SQL Server. It is easy to use and to connect for analytics."
"Azure's AutoML feature is probably better than the competition."
"Azure Machine Learning Studio's most valuable features are the package from Azure AutoML. It is quite powerful compared to the building of ML in Databricks or other AutoMLs from other companies, such as Google and Amazon."
"The solution is easy to use and has good automation capabilities in conjunction with Azure DevOps."
"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."
"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."
"Using the solution requires some specific learning which can take some time."
"I think it should be made cheaper for certain people…It may appear costlier for those who don't consider time important."
"Microsoft Azure Machine Learning Studio could improve in providing more efficient and cost-effective access to its tools for companies like mine."
"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."
"The platform's integration feature could be better."
"Enable creating ensemble models easier, adding more machine learning algorithms."
"There's room for improvement in terms of binding the integration with Azure DevOps."
"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."
"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."
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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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