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163 IBM Watson Studio Reviews
Overall Review Sentiment for IBM Watson Studio
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It's helped me in created projects with Jupiter notebook then face regonisation projects easily lots of tools are avilable . It's allows to compare models to provide the best solution..It's powerful machine learning and data science platform to develop complex data models. Review collected by and hosted on G2.com.
Nothing I have disliked I liked everthing in the Watson environment Review collected by and hosted on G2.com.
Great tools and its very easy to integrate. Very user-friendly. Review collected by and hosted on G2.com.
takes long sometimes to do testing. Would be great if it can be improved Review collected by and hosted on G2.com.
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Every data scientist has many tools in his/her notebook - and this is great for research and exploration. But when it comes to real world projects you need to simplify and integrate it. This is the best thing I found in Watson Studio - a simplified and integrated workbench for doing productive data science projects. Review collected by and hosted on G2.com.
When you have your own tools, you have much more flexibility, specially for research and exploration. So, if you are a very experienced data scientist, you will find some limitations in an integrated environment. Review collected by and hosted on G2.com.
The integration capabilities with other technologies. Review collected by and hosted on G2.com.
In some cases the UI was not intuitive. In-UI instructions would have been helpful. Review collected by and hosted on G2.com.
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I could try the AI applications like image classification and the object detection right away on IBM Watson Machine Learning platform. That was a great end-to-end hands-on experience. Review collected by and hosted on G2.com.
I find it a bit uncomfortable while switching between IBM Cloud and IBM Watson Studio instance. I felt like I should be able to browse everything from the same page rather than having to launch the services in separate tabs. Review collected by and hosted on G2.com.
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The UI is very clean which makes it easier to understand the product. Also, there are loads of documentation to learn more about how to use this tool for AI. Review collected by and hosted on G2.com.
I don't really know mainly because I only used it for a hackathon and not for a company. There was nothing I disliked. Review collected by and hosted on G2.com.
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When I was using Watson Studio, it was fairly well integrated w/ Watson Cloud, allowing one to spin up infrastructure to connect to your analytics assets built with Watson Studio. This was good Review collected by and hosted on G2.com.
This is basically SPSS Modeler, but in the cloud. It suffers from the same issues Modeler suffered from a data-science/ML dev perspective, little ability to customize elements of your model stack, clunky integration w/ custom outside code (R or Python). Review collected by and hosted on G2.com.
I liked very useful examples and algorithms and Data provided. Easy to get started Review collected by and hosted on G2.com.
It doesn't easily integrate with outside Data especially when the Data has to remain secure/private Review collected by and hosted on G2.com.
I am a fan of the extensive APIs that Watson STT provides for transcription. We have also used them heavily for training the language models.
The APIs allow us to connect Watson to our Video cloud services - and make the process seamless. We have created an end to end Closed captioning platform based off Watson STT , the APIs and integrations with our video cloud.
This solves a big need for us. Review collected by and hosted on G2.com.
I'd like the language models to be improved periodically.
For an education company such as ours, the ability to generate high accuracy transcripts right off the bat are a huge difference maker. Review collected by and hosted on G2.com.
Easy to install / upgrade / maintain
Intuitive GUI for the newbie to begin using the studio
Integration with Spark
Asset and community access Review collected by and hosted on G2.com.
The videos in the tutorials are all on Youtbe which are usually blocked on most of work campuses.
Cannot be embedded into mobile apps except CoreML in iOS app.
Since the features are changing continuously, some of the tutorials don't fit the current version. Review collected by and hosted on G2.com.