IBM Watson Studio Overview

IBM Watson Studio is the #11 ranked solution in our list of top Data Science Platforms. It is most often compared to Microsoft Azure Machine Learning Studio: IBM Watson Studio vs Microsoft Azure Machine Learning Studio

What is IBM Watson Studio?

IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

IBM Watson Studio is also known as Watson Studio, IBM Data Science Experience, Data Science Experience, DSx.

Buyer's Guide

Download the Data Science Platforms Buyer's Guide including reviews and more. Updated: June 2021

IBM Watson Studio Customers

GroupM, Accenture, Fifth Third Bank

IBM Watson Studio Video

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it_user844518
CTO at Lunewave
Real User
Two-way communication is provided through weekly technical meetings

What is our primary use case?

The primary use case is an algorithm for our radar sensor for autonomous driving. We do use it in a cloud environment for our testing. When there is more interference, the speed and efficiency of the algorithm become more important. This is where we have high hopes that this technique will help us. Not only in the current interference algorithm that we are working on, but in the future with things like object classification.

Pros and Cons

  • "It is a stable, reliable product."
  • "Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."

    What other advice do I have?

    Most important criteria when selecting a vendor: * Reputation * Being a start up, we need to have good technical support. There are big players that would not even talk with start ups. * Two-way communication is really important, especially for something as new as this, which is why we have weekly meetings. It is helpful on both sides.
    it_user840912
    Product owner at ING
    Real User
    It has greatly improved the performance because it is standardized across the company

    What is our primary use case?

    We mainly use it for our entire transformation logic. Everything that is in there, we store and process it in a similar fashion. We have globally rolled it out. We use this product for every capability we have. It has greatly improved the performance because it is standardized across the company. Also, it will help us moving forward.

    Pros and Cons

    • "The main benefit is the ease of use. We see a lot of engineers in our site and customers that really like the way the tools are able to work with the people."
    • "It has greatly improved the performance because it is standardized across the company."
    • "We would like to see it more web-based with more functionality."
    • "We would like to see it less as one big, massive product, but more based on smaller services that we can then roll out to consumers."
    • "Initially, it was quite complex. For us, it was not only a matter of getting it installed, that was just a start. It was also trying to come up with a standard way of implementing it across the entire organization, which had been a challenge."

    What other advice do I have?

    I would not enforce the same standard across all organizations. It depends on the scope and the size of an organization, as well as the journey where you want to go to. As a financial institution, it is important to standardize and conform to regulations. This will depend on the organization. If it is a similar type of organization with similar challenges, then you could advocate for a similar solution. However, if it is a company in a different business, a different setup to comply to different rules may apply. Most important criteria when selecting a vendor: It is not only about selecting a…