IBM Cloud Pak for Data Science
GPTKB entity
Properties (56)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:developedBy |
gptkb:IBM
|
| gptkbp:enables |
collaboration among data scientists
|
| gptkbp:facilitates |
data visualization
|
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Pak for Data Science
|
| gptkbp:includes |
gptkb:Jupyter_Notebooks
RStudio data catalog data exploration tools data science frameworks |
| gptkbp:integratesWith |
gptkb:IBM_Watson
|
| gptkbp:isAvailableIn |
gptkb:IBM_Cloud
multiple regions various industries |
| gptkbp:isCompatibleWith |
Docker
Kubernetes |
| gptkbp:isDesignedFor |
enterprise use
|
| gptkbp:isDocumentedIn |
gptkb:IBM_Knowledge_Center
|
| gptkbp:isIntegratedWith |
gptkb:IBM_Cloud_Object_Storage
gptkb:IBM_SPSS gptkb:IBM_Db2 gptkb:IBM_Cognos_Analytics |
| gptkbp:isPartOf |
gptkb:IBM_AI_ecosystem
IBM_Cloud_Pak_family |
| gptkbp:isSuitableFor |
yes
|
| gptkbp:isSupportedBy |
IBM_support_services
|
| gptkbp:isUsedBy |
business analysts
data analysts data engineers |
| gptkbp:isUsedFor |
yes
predictive analytics descriptive analytics prescriptive analytics |
| gptkbp:offers |
data governance
data security features automated machine learning collaborative workspaces data science lifecycle management model training capabilities |
| gptkbp:provides |
user-friendly interface
model deployment data integration tools data quality tools model monitoring data science tools API_access |
| gptkbp:supports |
gptkb:SQL
Python Scala machine learning data preparation real-time analytics big data analytics data lakes data storytelling |
| gptkbp:utilizes |
artificial intelligence
|