IBM Cloud Pak for Watson Studio
GPTKB entity
Statements (57)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:developedBy |
gptkb:IBM
|
| gptkbp:enables |
data visualization
collaborative data science |
| gptkbp:facilitates |
model deployment
|
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Pak for Watson Studio
|
| gptkbp:includes |
gptkb:Jupyter_Notebooks
data governance tools |
| gptkbp:integratesWith |
gptkb:IBM_Watson
|
| gptkbp:isAvailableIn |
multiple regions
hybrid cloud private cloud public cloud cloud deployment on-premises deployment |
| gptkbp:isCompatibleWith |
Docker
Kubernetes |
| gptkbp:isDesignedFor |
enterprise users
|
| gptkbp:isFamilyFriendly |
yes
|
| gptkbp:isIntegratedWith |
gptkb:IBM_Cloud_Object_Storage
gptkb:IBM_SPSS gptkb:IBM_Db2 gptkb:IBM_Cognos_Analytics |
| gptkbp:isPartOf |
gptkb:IBM_Cloud
AI lifecycle management IBM_Watson_portfolio |
| gptkbp:isSuitableFor |
yes
|
| gptkbp:isSupportedBy |
IBM_support_services
|
| gptkbp:isUsedBy |
business analysts
data scientists data engineers |
| gptkbp:isUsedFor |
business intelligence
data preparation natural language processing predictive analytics |
| gptkbp:offers |
customizable workflows
visualization tools collaboration features automated machine learning data integration capabilities API_access |
| gptkbp:officialLanguage |
Python
R |
| gptkbp:provides |
real-time analytics
security features model training model monitoring data science tools notebook environments |
| gptkbp:providesAccessTo |
data sources
|
| gptkbp:supports |
machine learning
deep learning big data analytics data lakes data exploration data wrangling |
| gptkbp:utilizes |
AI capabilities
|