IBM Cloud Pak for Watson Studio Online
GPTKB entity
Statements (53)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:developedBy |
gptkb:IBM
|
| gptkbp:enables |
data preparation
data visualization |
| gptkbp:facilitates |
model deployment
|
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Pak for Watson Studio Online
|
| gptkbp:includes |
gptkb:Jupyter_Notebooks
visual modeling tools |
| gptkbp:integratesWith |
gptkb:IBM_Watson
|
| gptkbp:isAvailableIn |
multiple regions
hybrid cloud private cloud public cloud |
| gptkbp:isCompatibleWith |
Docker
Kubernetes |
| gptkbp:isIntegratedWith |
gptkb:IBM_Watson_Knowledge_Catalog
gptkb:IBM_Cloud_Object_Storage gptkb:IBM_SPSS gptkb:IBM_Watson_Machine_Learning gptkb:IBM_Db2 |
| gptkbp:isPartOf |
gptkb:IBM_AI_portfolio
gptkb:IBM_Cloud AI lifecycle management |
| gptkbp:isSupportedBy |
IBM_support_services
|
| gptkbp:isUsedBy |
business analysts
data scientists |
| gptkbp:isUsedFor |
data analysis
predictive analytics data exploration model training |
| gptkbp:offers |
customizable dashboards
security features training resources data governance features collaboration features automated machine learning notebook sharing |
| gptkbp:officialLanguage |
Python
R |
| gptkbp:provides |
scalability
version control data wrangling tools data science tools model management tools API_access |
| gptkbp:providesAccessTo |
data sets
|
| gptkbp:supports |
machine learning
team collaboration data integration deep learning real-time analytics collaborative projects |
| gptkbp:utilizes |
AI capabilities
|