IBM Data Science Experience (DSx) - a ML tool easy to use even for non-technical experts.
February 15, 2018

IBM Data Science Experience (DSx) - a ML tool easy to use even for non-technical experts.

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM Data Science Experience (DSx)

In some use-cases, we use it within my research group. More importantly, we used it to win a nation-wide challenge for IoT-based Smart Cities in one of the Nordic countries. In particular, we used it to train various types of classifiers to predict a large number of events occurring in a Smart City scenario.
  • Easy to use and well thought UI and UX.
  • Ease of use of the entire system. All the phases (from data loading to classifier training to prediction) are easily accessible and well structured/phased.
  • Satisfactory prediction results with Gradient Boosting classifier.
  • The help and documentation are easy to read and are an easy overview of the steps and how they are interconnected.
  • Not easy to use/understand how "Continuous Classifier Performance Monitoring" - we were unable to get it working or fully understand what are the inputs and how to make it work.
  • Positive: Was easy to add a machine learning based predictive feature to our winning solution
  • Positive: Motivated us and made us explore and understand that we need machine learning in other features as well
  • Positive: Convinces a strict jury that machine learning is working and the winning solutions must have such features
We did not use or evaluate other products like IBM Data Science Experience (DSx).
Amazon Elastic Compute Cloud (EC2)
IBM Data Science Experience is well suited for the following scenarios:
  1. - quick prototyping
  2. - PoC and demos
  3. - evaluation of the suitability of machine learning and data analysis for a particular project
  4. - when there is a lacking expertise in machine learning and a project needs to deliver a machine learning based solution

Evaluating IBM Data Science Experience (DSx) and Competitors

  • Product Features
  • Existing Relationship with the Vendor
One condition of the nation-wide IoT based Smart City challenge our research team participated was to use a series of IBM Cloud services as well as IBM Data Science Experience (DSx). Nevertheless, our team was equally intrigued by the features and whether we could get fast a usable and performing prototype. We were not disappointed!
Our team would definitely evaluate based on:
  1. - the starting and ongoing costs of using the service
  2. - the quality and the completeness of the documentation and the example/sample/reference code snippets
  3. - easy of use and the support of the APIs to programmatically reach and use the IBM Data Science Experience (DSx) services