Statements (63)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:IBM_Watson
|
| gptkbp:analyzes |
driver behavior
|
| gptkbp:career_assists |
regulatory compliance
|
| gptkbp:designed_for |
gptkb:automotive_industry
|
| gptkbp:developed_by |
gptkb:IBM
|
| gptkbp:enables |
autonomous driving
data-driven decision making real-time monitoring smart city initiatives sustainability initiatives personalized marketing remote diagnostics data sharing among stakeholders |
| gptkbp:enhances |
customer experience
manufacturing processes safety features user experience customer loyalty service efficiency brand engagement |
| gptkbp:enhances_safety_through |
real-time data analysis
|
| gptkbp:facilitates |
vehicle diagnostics
collaboration between manufacturers |
| https://www.w3.org/2000/01/rdf-schema#label |
Watson for Automotive
|
| gptkbp:improves |
gptkb:supply_chain_management
fuel efficiency |
| gptkbp:integrates_with |
gptkb:Io_T_devices
CRM systems third-party applications supply chain systems |
| gptkbp:offers |
customizable solutions
data visualization tools cloud-based solutions predictive maintenance training and support services collaborative platforms customer feedback analysis automated reporting tools |
| gptkbp:provides |
gptkb:AI_technology
performance metrics real-time analytics customer insights risk assessment tools sales forecasting market analysis tools insights on consumer preferences insights on operational efficiency |
| gptkbp:provides_information_on |
market trends
|
| gptkbp:support |
connected vehicles
|
| gptkbp:supports |
research and development
data analytics vehicle customization vehicle design aftermarket services fleet management innovation in automotive technology vehicle-to-everything communication digital transformation in automotive |
| gptkbp:uses |
gptkb:machine_learning
|
| gptkbp:utilizes |
big data
natural language processing |
| gptkbp:bfsParent |
gptkb:IBM_Watson
|
| gptkbp:bfsLayer |
4
|