IBM Watson for Data Science and Engineering

GPTKB entity

Statements (55)
Predicate Object
gptkbp:instance_of gptkb:IBM_Watson
gptkbp:developed_by gptkb:IBM
gptkbp:enables predictive analytics
real-time analytics
gptkbp:facilitates data preparation
gptkbp:features gptkb:machine_learning
https://www.w3.org/2000/01/rdf-schema#label IBM Watson for Data Science and Engineering
gptkbp:includes gptkb:Jupyter_Notebooks
gptkbp:integrates_with gptkb:IBM_Cloud
gptkbp:is_available_on cloud platforms
on-premises solutions
gptkbp:is_compatible_with gptkb:Apache_Spark
gptkb:Hadoop
gptkbp:is_integrated_with gptkb:IBM_Cloud_Object_Storage
gptkb:IBM_SPSS
gptkb:IBM_Info_Sphere
gptkb:IBM_Db2
gptkb:IBM_Cognos_Analytics
gptkbp:is_known_for flexibility
scalability
AI capabilities
gptkbp:is_part_of gptkb:IBM_Watson_ecosystem
IBM's AI strategy
gptkbp:is_supported_by gptkb:IBM
gptkb:IBM_Cloud_Pak_for_Data
gptkbp:is_targeted_at gptkb:researchers
business analysts
gptkbp:is_used_by data scientists
data engineers
gptkbp:is_used_in gptkb:education
healthcare
finance
manufacturing
retail
gptkbp:offers data governance features
data modeling capabilities
data visualization capabilities
collaborative workspaces
model deployment options
gptkbp:provides API access
data integration tools
machine learning tools
data exploration tools
gptkbp:provides_access_to data sets
gptkbp:released_in gptkb:2016
gptkbp:supports big data technologies
data sharing
data mining
Python programming
R programming
collaborative data science
gptkbp:used_for data analysis
gptkbp:utilizes natural language processing
gptkbp:bfsParent gptkb:IBM
gptkbp:bfsLayer 4