Statements (60)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Twins
|
| gptkbp:analyzes |
large datasets
|
| gptkbp:career_assists |
decision making
|
| gptkbp:developed_by |
gptkb:IBM
data integration |
| gptkbp:enables |
data visualization
data-driven decisions digital transformation remote monitoring |
| gptkbp:enhances |
customer experience
sustainability efforts predictive maintenance |
| gptkbp:facilitates |
simulation modeling
|
| https://www.w3.org/2000/01/rdf-schema#label |
Watson for Digital Twins
|
| gptkbp:improves |
operational efficiency
|
| gptkbp:integrates_with |
gptkb:Io_T_devices
AI algorithms |
| gptkbp:is_applicable_to |
gptkb:transportation
healthcare smart cities energy sector |
| gptkbp:is_based_on |
gptkb:AI_technology
|
| gptkbp:is_compatible_with |
various platforms
existing IT infrastructure |
| gptkbp:is_designed_for |
enterprise applications
|
| gptkbp:is_integrated_with |
gptkb:blockchain_technology
augmented reality |
| gptkbp:is_part_of |
Industry 4.0 initiatives
smart manufacturing solutions digital innovation strategies IBM Watson portfolio |
| gptkbp:is_supported_by |
gptkb:IBM
gptkb:IBM_Cloud |
| gptkbp:is_used_by |
businesses
|
| gptkbp:is_used_for |
performance optimization
|
| gptkbp:is_used_to |
optimize resource allocation
track performance metrics |
| gptkbp:is_utilized_for |
environmental monitoring
asset lifecycle management |
| gptkbp:is_utilized_in |
gptkb:Telecommunications
gptkb:automotive_industry construction industry |
| gptkbp:offers |
customizable solutions
real-time analytics cloud-based solutions |
| gptkbp:provides |
collaboration tools
scalability options user-friendly interfaces data analytics capabilities risk assessment tools AI-driven insights predictive analytics tools |
| gptkbp:supports |
regulatory compliance
asset management real-time monitoring supply chain optimization |
| gptkbp:used_in |
manufacturing
|
| gptkbp:utilizes |
gptkb:machine_learning
|
| gptkbp:bfsParent |
gptkb:IBM_Watson
|
| gptkbp:bfsLayer |
4
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