IBM Data Science Pros and Cons

Very good level of insights. The quality of the work is really remarkable Review collected by and hosted on G2.com.

IBM often overcharges for the service it renders Review collected by and hosted on G2.com.

IBM Watson Studio helps to implement AI/ML quickly and easily. Our business models perform amazingly compared to the ones we tried earlier. IBM Watson Studio is really helpful for business Review collected by and hosted on G2.com.

The documentation needs to be improved and sometimes it takes a few seconds to load the site. Review collected by and hosted on G2.com.

The AI models are easy to develop with the use of IBM Watson. I have used it as Saas with IBM cloud Pak. Review collected by and hosted on G2.com.

Nothing as such. This is an IDE forall kinda of business problems. Review collected by and hosted on G2.com.

Using IBM Watson studio can setup model monitoring to track the performance of deployed models and receive alerts if they deviated from expected behaviour it's a one of the feature I liked very much in Watson studio. Review collected by and hosted on G2.com.

IBM Watson studio is only integrated with IBM cloud ecosystem.which could be a limitation if you preferred different cloud providers like Azure ,Aws,Gcp.other than this everything cool in this studio. Review collected by and hosted on G2.com.

For me the valuable feature of the solution is the one that I used which was jupyter notebooks Review collected by and hosted on G2.com.

I think maybe the support is an area where it lacks Review collected by and hosted on G2.com.

Data visualization is one of the strong point. Solution is quite interactive and developers can start working with minimum training Review collected by and hosted on G2.com.

Large data set handling needs improvement. Integration with Desktop applications is complex and time consuming Review collected by and hosted on G2.com.

Easy to use

Easy to implement

Good customer support

Provides good features in terms of data security

Easy to integrate with the other systerms.

Good frequency of usuage Review collected by and hosted on G2.com.

Nothing like a dislike in this product as per my opinion. Review collected by and hosted on G2.com.

IBM SPSS Modeler is a program for statistical analysis and data processing. The software also offers strong data analysis capabilities, enabling you to do the most traditional statistical analyses. Because the SPSS modeler can accept various data types as input, you can handle the work yourself without taking additional steps to modify the data before using it.

The GUI is well-designed and user-friendly; practically anyone can use the program with minimum investment in training.

Escalability allows you to increase your licensing expenditure by your actual needs, from a single annual authorized user to unlimited concurrent users and Big Data and Machine Learning capabilities. Review collected by and hosted on G2.com.

A little expensive when considering multiple teams.

Complicated user interface; changes are needed in this area.

It can occasionally make data transformation more complicated.

Incompatibility with Java or Python programming languages, SQL management tools, or both. Review collected by and hosted on G2.com.

Offers best security features for the organization

Easy to use

Easy to configure and install

Provides good customer support

Easy to integrate and migerate

Frequency is also good Review collected by and hosted on G2.com.

Provides good security infrastructure and easy to use Review collected by and hosted on G2.com.

Because I can create a complete database and in this way describe, analyze, and model data. Review collected by and hosted on G2.com.

What I still don't like is that sometimes I can't edit some graphics with the requirements that journals ask for to publish research. Review collected by and hosted on G2.com.