IBM Cloud Pak for Watson Studio Server
GPTKB entity
Statements (57)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:developedBy |
gptkb:IBM
|
| gptkbp:enables |
data visualization
model monitoring |
| gptkbp:facilitates |
model deployment
|
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Pak for Watson Studio Server
|
| gptkbp:includes |
gptkb:Jupyter_Notebooks
RStudio SPSS Modeler |
| gptkbp:integratesWith |
gptkb:IBM_Watson
|
| gptkbp:isAvailableIn |
multiple regions
hybrid cloud private cloud public cloud |
| gptkbp:isCompatibleWith |
Docker
Kubernetes |
| gptkbp:isCriticizedFor |
yes
|
| gptkbp:isFamilyFriendly |
yes
|
| gptkbp:isIntegratedWith |
gptkb:IBM_Watson_Knowledge_Catalog
gptkb:IBM_Cloud_Object_Storage gptkb:IBM_Watson_Machine_Learning gptkb:IBM_Cloud_Pak_for_Data gptkb:IBM_Db2 |
| gptkbp:isPartOf |
AI lifecycle management
IBM_Cloud_Pak_family |
| gptkbp:isSuitableFor |
yes
small businesses startups enterprise solutions |
| gptkbp:isSupportedBy |
IBM_community
|
| gptkbp:isUpdatedBy |
yes
|
| gptkbp:isUsedBy |
business analysts
data scientists data engineers |
| gptkbp:offers |
certification programs
collaboration features data integration tools data governance tools data wrangling tools model training capabilities |
| gptkbp:provides |
real-time analytics
training resources data storage options automated machine learning data science tools notebooks for collaboration API_access |
| gptkbp:security |
IBM_security_features
|
| gptkbp:supports |
Python
Scala R machine learning data preparation big data analytics data lakes open-source frameworks |
| gptkbp:utilizes |
AI capabilities
|