IBM Cloud Pak for Watson Studio Standard Edition
GPTKB entity
Statements (56)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:developedBy |
gptkb:IBM
|
| gptkbp:enables |
Model Deployment
|
| gptkbp:facilitates |
Data Governance
|
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Pak for Watson Studio Standard Edition
|
| gptkbp:includes |
Collaboration Features
Data Catalog Model Monitoring User_Management |
| gptkbp:integratesWith |
gptkb:IBM_Cloud
|
| gptkbp:isAvailableIn |
Hybrid Cloud
Private Cloud Public Cloud Multiple_Regions |
| gptkbp:isCompatibleWith |
gptkb:IBM_SPSS
gptkb:IBM_Watson gptkb:Apache_Spark |
| gptkbp:isDesignedFor |
Enterprise Use
|
| gptkbp:isIntegratedWith |
gptkb:IBM_Watson_Knowledge_Catalog
gptkb:IBM_Watson_Studio gptkb:IBM_Watson_Machine_Learning |
| gptkbp:isOptimizedFor |
Big_Data
|
| gptkbp:isPartOf |
gptkb:IBM_Cloud_Pak_Family
AI_Lifecycle_Management |
| gptkbp:isSuitableFor |
Large Datasets
|
| gptkbp:isUsedBy |
Business Analysts
Data_Scientists Data_Engineers |
| gptkbp:isUsedFor |
Business_Intelligence
|
| gptkbp:offers |
Predictive Analytics
Scalability Experiment Tracking Collaboration Workspaces Data_Visualization_Tools Data_Integration_Tools Data_Preparation_Tools |
| gptkbp:officialLanguage |
Python
R |
| gptkbp:provides |
gptkb:Automated_Machine_Learning
Customizable Dashboards Security Features Training Resources Version Control Feedback Mechanisms APIs for Integration Data_Science_Tools |
| gptkbp:providesAccessTo |
gptkb:Jupyter_Notebooks
|
| gptkbp:supports |
Deep Learning
Machine Learning Data Sharing Real-time Analytics Data Privacy Compliance Containerization Data Enrichment Data_Lake_Integration |
| gptkbp:utilizes |
Artificial Intelligence
|