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