Statements (69)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Artificial_Intelligence
|
| gptkbp:aims_to |
reduce time to deploy models
|
| gptkbp:built |
cloud technology
|
| gptkbp:can_be_used_for |
predictive analytics
|
| gptkbp:designed_for |
automating machine learning processes
|
| gptkbp:developed_by |
gptkb:IBM
|
| gptkbp:enables |
real-time insights
collaborative data science scalable machine learning solutions |
| gptkbp:enhances |
business decision making
|
| gptkbp:facilitates |
model deployment
|
| https://www.w3.org/2000/01/rdf-schema#label |
Auto AI
|
| gptkbp:integrates_with |
gptkb:IBM_Cloud
|
| gptkbp:is_accessible_by |
web interface
|
| gptkbp:is_available_for |
trial use
|
| gptkbp:is_available_in |
multiple languages
|
| gptkbp:is_available_on |
gptkb:IBM_Cloud_Pak_for_Data
|
| gptkbp:is_compatible_with |
gptkb:Jupyter_Notebooks
big data technologies data lakes |
| gptkbp:is_designed_for |
enterprise applications
|
| gptkbp:is_designed_to |
enhance productivity
simplify data science workflows |
| gptkbp:is_focused_on |
automating repetitive tasks
AI model lifecycle management |
| gptkbp:is_integrated_with |
gptkb:IBM_SPSS
data science platforms |
| gptkbp:is_known_for |
user-friendly interface
speed and efficiency user-centric design |
| gptkbp:is_part_of |
gptkb:IBM_Watson
gptkb:ecosystem AI-driven analytics IBM's AI strategy IBM's cloud offerings |
| gptkbp:is_recognized_by |
industry awards
analyst firms |
| gptkbp:is_recognized_for |
innovation in AI
|
| gptkbp:is_supported_by |
community forums
IBM research |
| gptkbp:is_targeted_at |
small and medium enterprises
data scientists |
| gptkbp:is_used_for |
customer segmentation
|
| gptkbp:is_used_in |
gptkb:financial_services
various industries |
| gptkbp:is_used_to |
drive innovation
optimize business processes |
| gptkbp:is_utilized_by |
business analysts
|
| gptkbp:is_utilized_for |
risk management
|
| gptkbp:is_utilized_in |
healthcare analytics
|
| gptkbp:offers |
collaborative features
data visualization capabilities pre-built algorithms model evaluation features |
| gptkbp:provides |
automated reporting
visualization tools data preparation tools automated feature engineering automated data cleaning |
| gptkbp:supports |
data governance
multiple data sources model monitoring Python and R programming languages |
| gptkbp:uses |
automated model selection
|
| gptkbp:utilizes |
automated hyperparameter tuning
|
| gptkbp:bfsParent |
gptkb:IBM_Watson_Studio
gptkb:IBM_Cloud_Data_Science gptkb:IBM_AI_Portfolio |
| gptkbp:bfsLayer |
5
|