IBM Watson for Energy and Utilities
GPTKB entity
Statements (65)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:boxing_match
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:CEO
|
| gptkbp:career_assists |
regulatory compliance
|
| gptkbp:enables |
automated reporting
network optimization demand response programs energy conservation initiatives smart grid management virtual power plants |
| gptkbp:enhances |
gptkb:Company
operational efficiency performance monitoring customer insights operational transparency grid reliability grid modernization |
| gptkbp:facilitates |
data sharing
renewable energy integration energy trading asset performance management |
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Watson for Energy and Utilities
|
| gptkbp:improves |
customer engagement
risk management asset management service reliability load forecasting energy distribution energy procurement |
| gptkbp:integrates_with |
Io T technologies
|
| gptkbp:offers |
data-driven strategies
cloud-based solutions predictive maintenance risk assessment tools performance benchmarking customer analytics energy forecasting energy management solutions |
| gptkbp:provides |
gptkb:software_framework
collaboration tools data visualization tools real-time insights scenario modeling workforce optimization customer segmentation tools energy usage analysis |
| gptkbp:reduces |
operational costs
|
| gptkbp:supports |
decision making
business intelligence data analytics energy efficiency programs stakeholder engagement supply chain optimization environmental sustainability customer service automation grid resilience energy policy development grid security |
| gptkbp:targets |
energy sector
|
| gptkbp:utilizes |
gptkb:software_framework
gptkb:Cloud_Computing_Service natural language processing big data analytics advanced analytics AI-driven insights |