Statements (73)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:developedBy |
gptkb:IBM
|
| gptkbp:enables |
data integration
real-time analytics automated data analysis |
| gptkbp:enhances |
business decision making
|
| gptkbp:facilitates |
data sharing
collaboration among data scientists |
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Paks for AI
|
| gptkbp:includes |
data preparation tools
data science capabilities |
| gptkbp:integratesWith |
gptkb:IBM_Watson
|
| gptkbp:isAvailableIn |
gptkb:IBM_Cloud_Marketplace
multiple regions various user roles |
| gptkbp:isCompatibleWith |
Kubernetes
various programming languages |
| gptkbp:isDesignedFor |
accelerate AI adoption
AI-driven applications simplify_AI_workflows |
| gptkbp:isIntegratedWith |
gptkb:IBM_Cloud_Pak_for_Integration
gptkb:IBM_Cloud_Pak_for_Data gptkb:IBM_Cloud_Pak_for_Applications |
| gptkbp:isOptimizedFor |
cloud-native environments
|
| gptkbp:isPartOf |
gptkb:IBM_Cloud
IBM's_AI_ecosystem IBM's_cloud_strategy IBM_AI_strategy |
| gptkbp:isRated |
gptkb:IBM_Cloud_infrastructure
|
| gptkbp:isSuitableFor |
large datasets
|
| gptkbp:isSupportedBy |
IBM_community
|
| gptkbp:isUsedBy |
enterprises
|
| gptkbp:isUsedFor |
AI research
AI model deployment AI model evaluation |
| gptkbp:isUsedIn |
various industries
|
| gptkbp:isUtilizedFor |
business analysts
data engineers |
| gptkbp:offers |
customizable solutions
integration with third-party tools security features training resources data governance features data access controls data enrichment capabilities model management capabilities data cataloging features business intelligence capabilities automated AI model building |
| gptkbp:provides |
AI tools
customer support services data visualization tools user-friendly interfaces performance monitoring tools cloud-native development tools real-time collaboration tools collaborative workspaces cloud-based storage solutions AI lifecycle management tools API_access |
| gptkbp:providesAccessTo |
pre-built_AI_models
|
| gptkbp:supports |
machine learning
data lineage tracking data transformation data visualization natural language processing predictive analytics data privacy compliance data quality management data exploration model training multiple cloud environments |
| gptkbp:utilizes |
open-source technologies
|