IBM Cloud Pak for Watson Studio Desktop
GPTKB entity
Statements (54)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Software
|
| gptkbp:developedBy |
gptkb:IBM
|
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Pak for Watson Studio Desktop
|
| gptkbp:includes |
gptkb:Watson_Machine_Learning
gptkb:Watson_OpenScale AutoAI |
| gptkbp:integratesWith |
gptkb:IBM_Cloud
|
| gptkbp:isAvailableIn |
Linux
Windows Subscription MacOS Free trial |
| gptkbp:isCompatibleWith |
Docker
Kubernetes |
| gptkbp:isDesignedFor |
Data scientists
Data engineers |
| gptkbp:isIntegratedWith |
gptkb:IBM_Cloud_Object_Storage
gptkb:IBM_Db2 gptkb:Apache_Spark gptkb:Hadoop |
| gptkbp:isPartOf |
gptkb:IBM_Cloud_Pak
Cloud-native applications AI lifecycle management AI-driven applications IBM_Watson_portfolio |
| gptkbp:isPromotedBy |
IBM_marketing
|
| gptkbp:isSupportedBy |
IBM_support_services
|
| gptkbp:isTargetedAt |
Developers
Researchers Business analysts Data architects |
| gptkbp:isUsedFor |
Data analysis
Predictive analytics Experiment tracking Model deployment Data wrangling |
| gptkbp:isUsedIn |
Academic research
Enterprise environments |
| gptkbp:offers |
gptkb:Jupyter_Notebooks
Data governance RStudio Data preparation tools SPSS Modeler Model monitoring |
| gptkbp:provides |
Collaboration features
Data science tools |
| gptkbp:providesAccessTo |
IBM_Watson_services
|
| gptkbp:releasedIn |
2020
|
| gptkbp:supports |
Machine learning
Python Scala R Data visualization Collaborative development |