IBM Cloud Pak for Watson Studio Advanced Edition
GPTKB entity
Statements (58)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:developedBy |
gptkb:IBM
|
| gptkbp:enables |
Model Deployment
|
| gptkbp:facilitates |
Data Visualization
|
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Pak for Watson Studio Advanced Edition
|
| gptkbp:includes |
Collaboration Features
Data Catalog |
| gptkbp:integratesWith |
gptkb:IBM_Watson
|
| gptkbp:isAvailableIn |
gptkb:IBM_Cloud
Subscription Plans Multiple_Regions |
| gptkbp:isCompatibleWith |
Kubernetes
Third-party Tools |
| gptkbp:isDesignedFor |
Enterprise Users
|
| gptkbp:isIntegratedWith |
gptkb:IBM_Cloud_Object_Storage
|
| gptkbp:isOptimizedFor |
Cloud Environments
|
| gptkbp:isPartOf |
gptkb:IBM_Watson_Ecosystem
gptkb:IBM_Cloud_Pak AI Development Process AI_Lifecycle_Management |
| gptkbp:isUsedBy |
Business Analysts
Data_Scientists Data_Engineers |
| gptkbp:isUsedFor |
Data Analysis
Predictive Analytics |
| gptkbp:isUsedIn |
Various Industries
|
| gptkbp:offers |
Customizable Dashboards
API Integration Data Governance Tools AutoAI Scalability Options Data_Preparation_Tools Data_Import_Tools Data_Enrichment_Tools Integration_with_IBM_Services |
| gptkbp:provides |
Resource Management
Performance Monitoring Model Monitoring Security Features Training Resources Experiment Tracking Collaboration Workspaces User_Management Data_Science_Tools |
| gptkbp:providesAccessTo |
gptkb:Jupyter_Notebooks
|
| gptkbp:supports |
Deep Learning
Machine Learning Python R Model Training Real-time Analytics Version Control Data Privacy Compliance Containerization Collaboration Across Teams Big_Data Data_Integration |
| gptkbp:utilizes |
Artificial Intelligence
|