IBM Cloud Pak for Watson OpenScale
GPTKB entity
Statements (49)
Predicate | Object |
---|---|
gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
gptkbp:allows |
model retraining
|
gptkbp:developedBy |
gptkb:IBM
|
gptkbp:enables |
continuous learning
collaborative data science automated_AI_governance |
gptkbp:enhances |
AI model transparency
|
gptkbp:facilitates |
bias detection
|
https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Pak for Watson OpenScale
|
gptkbp:includes |
security features
data preparation tools model evaluation tools |
gptkbp:integratesWith |
gptkb:IBM_Watson
|
gptkbp:isAvailableIn |
gptkb:IBM_Cloud
on-premises infrastructure |
gptkbp:isCompatibleWith |
Docker
Kubernetes |
gptkbp:isDesignedFor |
IT professionals
business analysts data scientists |
gptkbp:isIntegratedWith |
gptkb:IBM_Watson_Studio
gptkb:IBM_Watson_Machine_Learning gptkb:IBM_Cloud_Pak_for_Data |
gptkbp:isPartOf |
AI strategy
AI governance framework IBM_Cloud_Pak_family |
gptkbp:isRecognizedBy |
industry analysts
|
gptkbp:isUsedBy |
large enterprises
small businesses |
gptkbp:isUsedIn |
enterprise AI solutions
|
gptkbp:offers |
training resources
user-friendly interface model monitoring API_access |
gptkbp:provides |
customer support
customizable dashboards data lineage tracking real-time insights scalability AI lifecycle management |
gptkbp:providesAccessTo |
data sources
|
gptkbp:supports |
multi-cloud environments
data science hybrid cloud model deployment private cloud public cloud model explainability |
gptkbp:utilizes |
open-source technologies
|