IBM Cloud Pak for Data Science

GPTKB entity

Statements (66)
Predicate Object
gptkbp:instance_of gptkb:cloud_services
gptkbp:built open-source technologies
gptkbp:deployment gptkb:IBM_Cloud
on-premises environments
gptkbp:developed_by gptkb:IBM
gptkbp:enables data-driven decision making
real-time analytics
cross-functional collaboration
collaborative data science
gptkbp:facilitates data sharing
data visualization
https://www.w3.org/2000/01/rdf-schema#label IBM Cloud Pak for Data Science
gptkbp:includes gptkb:RStudio
gptkb:Jupyter_Notebooks
data preparation tools
Python libraries
data connectors
model training tools
gptkbp:integrates_with gptkb:IBM_Watson
gptkbp:is_available_for small businesses
gptkbp:is_available_in multiple languages
gptkbp:is_available_on gptkb:IBM_Marketplace
gptkbp:is_compatible_with gptkb:Kubernetes
data science frameworks
gptkbp:is_designed_for data scientists
gptkbp:is_designed_to accelerate AI adoption
gptkbp:is_integrated_with gptkb:IBM_Cloud_Pak_for_Applications
third-party tools
gptkbp:is_optimized_for big data
gptkbp:is_part_of IBM Cloud Pak family
IBM's cloud strategy
IBM AI strategy
gptkbp:is_used_by enterprises
gptkbp:is_used_for data analysis
predictive analytics
AI model development
gptkbp:is_used_in various industries
gptkbp:offers customizable dashboards
security features
training resources
cloud-native capabilities
data quality tools
data governance capabilities
model monitoring capabilities
gptkbp:provides gptkb:machine_learning
API access
scalable infrastructure
business intelligence tools
data modeling tools
data integration capabilities
collaborative workspaces
data science tools
gptkbp:provides_access_to data lakes
gptkbp:supports gptkb:machine_learning
data lineage tracking
data transformation
multi-cloud environments
data privacy compliance
data storytelling
model deployment
data exploration
data wrangling
data ethics practices
gptkbp:utilizes gptkb:Apache_Spark
gptkbp:bfsParent gptkb:IBM
gptkbp:bfsLayer 4