Artificial Intelligence for IT Operations (AIOps)

GPTKB entity

Statements (60)
Predicate Object
gptkbp:instance_of gptkb:Apple_IIgs
gptkbp:aims_to_improve IT operations
gptkbp:analyzes large volumes of data
gptkbp:automated routine tasks
gptkbp:career_assists root cause analysis
gptkbp:developed_by IT companies
gptkbp:enables proactive monitoring
gptkbp:enhances incident management
gptkbp:facilitates predictive maintenance
https://www.w3.org/2000/01/rdf-schema#label Artificial Intelligence for IT Operations (AIOps)
gptkbp:improves system performance
user experience
gptkbp:integrates_with gptkb:cloud_services
gptkbp:is_adopted_by large enterprises
SMBs
gptkbp:is_applied_in security operations
network management
application performance management
gptkbp:is_challenged_by skill gaps
data quality issues
integration complexities
gptkbp:is_discussed_in IT conferences
gptkbp:is_documented_in research papers
gptkbp:is_driven_by data-driven decision making
gptkbp:is_enhanced_by automation tools
gptkbp:is_evaluated_by performance metrics
case studies
gptkbp:is_influenced_by big data technologies
cloud computing trends
Dev Ops practices
gptkbp:is_part_of digital transformation
gptkbp:is_promoted_by industry leaders
gptkbp:is_related_to gptkb:customer_support
gptkb:IT_services
IT infrastructure
change management
cybersecurity
risk management
business intelligence
data visualization
incident response
performance optimization
resource management
data science
service delivery
IT strategy
IT governance
IT compliance
service automation
gptkbp:is_supported_by AI technologies
vendor solutions
gptkbp:is_used_in enterprise IT environments
gptkbp:provides real-time insights
gptkbp:reduces downtime
gptkbp:requires continuous learning
gptkbp:supports data analytics
gptkbp:uses gptkb:machine_learning
gptkbp:utilizes natural language processing
gptkbp:bfsParent gptkb:Extreme_Networks
gptkbp:bfsLayer 5