IBM Cloud Pak for Watson Studio Enterprise Edition
GPTKB entity
Statements (53)
Predicate | Object |
---|---|
gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
gptkbp:developedBy |
gptkb:IBM
|
gptkbp:enables |
Model Monitoring
Data Preparation Experiment Tracking |
gptkbp:facilitates |
Model Deployment
|
https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Pak for Watson Studio Enterprise Edition
|
gptkbp:includes |
gptkb:Jupyter_Notebooks
RStudio SPSS Modeler |
gptkbp:integratesWith |
gptkb:IBM_Cloud
|
gptkbp:isAvailableIn |
Hybrid Cloud
Multiple Languages Private Cloud Public Cloud |
gptkbp:isCompatibleWith |
Docker
Kubernetes |
gptkbp:isDesignedFor |
Enterprise Users
|
gptkbp:isIntegratedWith |
gptkb:IBM_Watson_Knowledge_Catalog
gptkb:IBM_Cloud_Object_Storage gptkb:IBM_Watson_Studio gptkb:IBM_Watson_Machine_Learning gptkb:IBM_Watson_OpenScale |
gptkbp:isOptimizedFor |
Big_Data
|
gptkbp:isPartOf |
gptkb:IBM_Cloud_Pak_Family
AI_Lifecycle_Management |
gptkbp:isUsedBy |
Business Analysts
Data_Scientists Data_Engineers |
gptkbp:isUsedFor |
Data Analysis
Predictive Analytics |
gptkbp:offers |
gptkb:Automated_Machine_Learning
Collaboration Features Customizable Workflows Visualization Tools API_Access |
gptkbp:provides |
Collaboration Tools
Security Features Data Governance Tools Model Training Capabilities Integration with Data Sources User_Management_Features Data_Science_Tools |
gptkbp:providesAccessTo |
gptkb:IBM_Watson_Services
|
gptkbp:supports |
Data Visualization
Machine Learning Real-time Analytics Version Control Data Enrichment Open Source Frameworks DataOps Multi-Cloud_Environments |
gptkbp:utilizes |
AI and Machine Learning
|