We performed a comparison between IBM Watson Machine Learning and Microsoft Azure Machine Learning Studio 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."Scalability-wise, I rate the solution ten out of ten."
"The solution is very valuable to our organization due to the fact that we can work on it as a workflow."
"It has improved self-service and customer satisfaction."
"It is has a lot of good features and we find the image classification very useful."
"The most valuable aspect of the solution's the cost and human labor savings."
"I was particularly interested in trying the AutoML feature to see how it handles data and proposes new models. The variety of models it provides is impressive."
"Visualisation, and the possibility of sharing functions are key features."
"The learning curve is very low. Operationalizing the model is also very easy within the Azure ecosystem."
"It's easy to deploy."
"The solution is easy to use and has good automation capabilities in conjunction with Azure DevOps."
"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."
"Its ability to publish a predictive model as a web based solution and integrate R and python codes are amazing."
"The product's standout feature is a robust multi-file network with limited availability."
"The initial setup is very simple and straightforward."
"Scaling is limited in some use cases. They need to make it easier to expand in all aspects."
"Honestly, I haven't seen any comparative report that has run the same data through two different artificial intelligence or machine learning capabilities to get something out of it. I would love to see that."
"The supporting language is limited."
"In future releases, I would like to see a more flexible environment."
"They should add more GPU processing power to improve performance, especially when dealing with large amounts of data."
"If I consider how we want to use it in our organization, certain areas of improvement can be addressed. For instance, we want to use it with Generative AI, not like ChatGPT, but in a way intended for industrial use."
"While ML Studio does give you the ability to run a lot of transformations, it struggles when the transformations are a bit more complex, when your entire process is transformation-heavy."
"There should be data access security, a role level security. Right now, they don't offer this."
"The data cleaning functionality is something that could be better and needs to be improved."
"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."
"I think it should be made cheaper for certain people…It may appear costlier for those who don't consider time important."
"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."
"I would like to see modules to handle Deep Learning frameworks."
"The solution's initial setup process is complicated."
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IBM Watson Machine Learning is ranked 9th in AI Development Platforms with 6 reviews while Microsoft Azure Machine Learning Studio is ranked 1st in AI Development Platforms with 53 reviews. IBM Watson Machine Learning is rated 8.0, while Microsoft Azure Machine Learning Studio is rated 7.6. The top reviewer of IBM Watson Machine Learning writes "A highly efficient solution that delivers the desired results to its users". On the other hand, the top reviewer of Microsoft Azure Machine Learning Studio writes "Good support for Azure services in pipelines, but deploying outside of Azure is difficult". IBM Watson Machine Learning is most compared with Google Cloud AI Platform, Azure OpenAI and TensorFlow, whereas Microsoft Azure Machine Learning Studio is most compared with Google Vertex AI, Databricks, Azure OpenAI, TensorFlow and Google Cloud AI Platform. See our IBM Watson Machine Learning vs. Microsoft Azure Machine Learning Studio report.
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