Artificial Intelligence for IT Operations (AIOps)
GPTKB entity
Properties (53)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:physicist
|
| gptkbp:aimsTo |
IT service management
|
| gptkbp:diedIn |
incident management
performance monitoring |
| gptkbp:enables |
predictive analytics
|
| gptkbp:enhances |
root cause analysis
user experience |
| gptkbp:facilitates |
data correlation
|
| https://www.w3.org/2000/01/rdf-schema#label |
Artificial Intelligence for IT Operations (AIOps)
|
| gptkbp:improves |
system reliability
|
| gptkbp:isAttendedBy |
large enterprises
|
| gptkbp:isAvenueFor |
change management
capacity planning user behavior analytics problem management business continuity planning network performance monitoring service level management cloud resource management service optimization incident prediction service desk operations data_center_management |
| gptkbp:isChallengedBy |
data quality issues
integration complexities |
| gptkbp:isDiscussedIn |
industry conferences
|
| gptkbp:isDocumentedIn |
research papers
|
| gptkbp:isEvaluatedBy |
ROI metrics
|
| gptkbp:isInfluencedBy |
emerging technologies
|
| gptkbp:isIntegratedWith |
cloud services
DevOps_practices ITSM_tools |
| gptkbp:isPartOf |
digital transformation
|
| gptkbp:isPromotedBy |
technology vendors
|
| gptkbp:isRated |
data
|
| gptkbp:isRelatedTo |
cybersecurity
IT automation network management application performance management |
| gptkbp:isSupportedBy |
AI technologies
data science methodologies |
| gptkbp:isUsedFor |
routine tasks
|
| gptkbp:isUsedIn |
IT operations
|
| gptkbp:mayHave |
log data
event data metrics data |
| gptkbp:provides |
real-time insights
|
| gptkbp:reduces |
operational costs
mean_time_to_resolution_(MTTR) |
| gptkbp:requires |
skilled personnel
|
| gptkbp:supports |
automated responses
|
| gptkbp:utilizes |
machine learning
big data analytics |