Overall Satisfaction with IBM Watson Studio on Cloud Pak for Data
Storing data in the form of Worksheets and CSV files so that multiple users can use the data partially irrespective of location.
Running and deploying ML and AI Models. It helps - no need to have local hardware. We are able to achieve all the tasks over the cloud.
Used in different parts of the organization.
Running and deploying ML and AI Models. It helps - no need to have local hardware. We are able to achieve all the tasks over the cloud.
Used in different parts of the organization.
- Deployment of ML Models.
- Use of sharable data.
- Multiple users can be added to a project.
- UI difficult.
- Use of Microsoft tools like Visio for flow.
- In built Excel editor.
- Data analysis.
- Data cleaning.
- Data visualization.
Organization of data, use of data, manage the data, visualize the data is easy.
Use of the environment for any project.
We can use python or R or Scala in the notebook.
Data cleaning a remarkable feature of IMB Watson Studio.
Deployment of ML models is easy.
Monitoring the Models is also easy.
Use of the environment for any project.
We can use python or R or Scala in the notebook.
Data cleaning a remarkable feature of IMB Watson Studio.
Deployment of ML models is easy.
Monitoring the Models is also easy.