IBM Data Science Experience Reviews

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Real User
Product owner at ING
Mar 21 2018

What is most valuable?

We are looking for ways to automate even more. So, we are trying to avoid any manual effort currently necessary. With the whole machine learning part currently at the top of the market, we are trying to see how we can improve in the... more»

How has it helped my organization?

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. This is valuable for us. Also, how it integrates with the rest of the stacks,... more»

What needs improvement?

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. In this sense, we also are looking forward to... more»
Real User
CTO at Lunewave
Apr 02 2018

What do you think of IBM Data Science Experience?

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. • Use of Solution Less than one year. • Stability Issues It is a stable, reliable product. In our experience, everything is fine. • Scalability Issues The product should meet our stability needs going forward. • Customer Service and Technical Support Technical support is great. We have had weekly teleconferences with the...

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What is IBM Data Science Experience?

IBM Data Science Experience is an interactive, collaborative, cloud-based environment where data scientists can use multiple tools to activate their insights. Data scientists can use the best of open source, tap into IBM's unique features, grow their capabilities, and share their successes.

Also known as
Data Science Experience, DSx
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