gptkbp:instanceOf
|
gptkb:Cloud_Computing_Service
|
gptkbp:developedBy
|
gptkb:IBM
|
gptkbp:enables
|
data visualization
|
gptkbp:facilitates
|
model deployment
|
https://www.w3.org/2000/01/rdf-schema#label
|
IBM Cloud Pak for Watson Studio Local
|
gptkbp:includes
|
gptkb:Jupyter_Notebooks
data governance features
collaborative workspaces
|
gptkbp:integratesWith
|
gptkb:IBM_Watson
|
gptkbp:isAvailableIn
|
multiple regions
premises
|
gptkbp:isCompatibleWith
|
Docker
|
gptkbp:isDocumentedIn
|
IBM documentation
|
gptkbp:isFamilyFriendly
|
true
|
gptkbp:isIntegratedWith
|
gptkb:IBM_Watson_Knowledge_Catalog
gptkb:IBM_Cloud_Object_Storage
gptkb:IBM_Watson_Machine_Learning
gptkb:IBM_Db2
gptkb:Apache_Spark
|
gptkbp:isOptimizedFor
|
enterprise use
|
gptkbp:isPartOf
|
AI lifecycle management
IBM_Cloud_Pak_family
|
gptkbp:isPromotedBy
|
IBM_marketing
|
gptkbp:isSuitableFor
|
true
|
gptkbp:isSupportedBy
|
IBM_support_services
|
gptkbp:isUsedBy
|
business analysts
data scientists
|
gptkbp:isUsedFor
|
true
AI development
|
gptkbp:offers
|
visualization tools
data preparation tools
collaboration features
model monitoring tools
API_access
|
gptkbp:officialLanguage
|
Python
R
|
gptkbp:provides
|
model evaluation tools
automated machine learning
data integration capabilities
data science tools
data asset management
|
gptkbp:providesAccessTo
|
gptkb:IBM_Cloud_services
|
gptkbp:runsThrough
|
Kubernetes
|
gptkbp:security
|
true
|
gptkbp:supports
|
machine learning
deep learning
real-time analytics
big data analytics
model training
|