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My main use case for IBM Watson Studio is the end-to-end ML life cycle.
A specific example of a project where I used IBM Watson Studio for the end-to-end machine learning life cycle is that I built a data pipeline that takes a Kafka stream and loads the data into our S3 bucket catalog. Then I built a data pipeline on top of it which parses the catalog and provides structured data for our in-house NER recognition model.
The best features IBM Watson Studio offers are that it is good for big and complex organizations, it is multi-cloud, it has an on-prem facility, and it also has strong visual tools.
The strong visual tools have helped my organization, which is currently cloud supported and has an on-prem server as well, as IBM Watson Studio serves as a use case for both of them.
IBM Watson Studio has positively impacted my organization by increasing work efficiency. I have noticed the work efficiency increase as it is an end-to-end ML pipeline in one place.
I think IBM Watson Studio can be improved.
I wish learning IBM Watson Studio could be easier and more gradual, as it is a complex task. Also, I think pricing is a bit high.
I have been working in my current field for three plus years.
IBM Watson Studio is stable in my experience.
I have not had any experience with customer support for IBM Watson Studio as I have not used it.
We are still using Google AI Studio before IBM Watson Studio, and we have not particularly switched completely to IBM Watson Studio.
We are using Google AI Studio as another option, but I did not evaluate other options before choosing IBM Watson Studio.
I would advise others looking into using IBM Watson Studio to just use the tutorials available to see all the features. I rate this product a 4.