IBM Cloud Pak for Watson Studio Developer Edition
GPTKB entity
Statements (61)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:allows |
Data Visualization
|
| gptkbp:developedBy |
gptkb:IBM
|
| gptkbp:enables |
Model Deployment
|
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Pak for Watson Studio Developer Edition
|
| gptkbp:includes |
gptkb:Jupyter_Notebooks
gptkb:Watson_Machine_Learning Data_Refinery |
| gptkbp:integratesWith |
gptkb:IBM_Cloud
|
| gptkbp:isAvailableIn |
gptkb:IBM_Cloud
Private Cloud Public Cloud Free Trial Multiple_Regions |
| gptkbp:isCompatibleWith |
gptkb:IBM_Watson_Knowledge_Catalog
gptkb:IBM_Cloud_Object_Storage gptkb:IBM_Watson_Studio gptkb:IBM_Db2 Docker Kubernetes |
| gptkbp:isPartOf |
gptkb:IBM_Cloud_Pak_Family
gptkb:IBM_Cloud_Pak_for_Data AI_Lifecycle_Management IBM_AI_Strategy |
| gptkbp:isTargetedAt |
Business Analysts
Data_Scientists Data_Engineers |
| gptkbp:isUsedFor |
Data Analysis
Predictive Analytics AI Development Business_Intelligence Data-Driven_Decision_Making |
| gptkbp:isUsedIn |
Enterprise Solutions
|
| gptkbp:offers |
Model Training
Collaboration Features Data Catalog Data Insights Model Management Data Enrichment AutoAI Experiment Tracking |
| gptkbp:officialLanguage |
Python
R |
| gptkbp:provides |
gptkb:User_Interface
Collaboration Tools Performance Monitoring Model Monitoring Security Features Data Governance Tools API_Access Data_Preparation_Tools Data_Science_Tools |
| gptkbp:providesAccessTo |
gptkb:Watson_APIs
|
| gptkbp:supports |
Data Security
Deep Learning Machine Learning Open Source Tools Big_Data_Analytics Data_Integration Data_Lakes Data_Science_Workflows |