AISWare AIOps&Copilot

AISWare AIOps&Copilot,a product that leverages a dedicated large-scale operation and maintenance model, integrates multi-source heterogeneous operation and maintenance data, and provides intelligent operation and maintenance services through enhanced fusion of operation and maintenance knowledge, fusion of large and small models, and enhanced decision-making and execution capabilities.

Unique Advantages

Core Values

01

Higher O&M Efficiency

  • Automate fault recovery with Copilot Agent to less time consumption of detection and resolution
02

Assured System Operation Quality

  • Predictive analytics engine provides early warnings to ensure system quality.
03

Optimized Cost-Effective

  • Intelligent assessment and optimization enable efficient resource allocation.
04

Boosted O&M Capability per Capita

  • Release maintenance staff from the burden of complex alerts and repetitive issues.

Application Scenarios

Quality assurance
  • Anomaly detection
  • Root cause analysis
  • Fault prediction
  • Fault self-recovery
Cost management
  • Capacity planning
  • Resource optimization
  • Resource assessment
  • Performance optimization
Efficiency Enhancing
  • Intelligent Decision-Making
  • Intelligent Q&A
  • Decision Execution
  • Workorder Analysis

Customer Success Stories

Anomaly Detection for Golden Indicators

A telecom operator introduced AISWare AIOps for monitoring and alarm of multiple indicators such as Haproxy response delay, Kafka Topic traffic and business volume to achieve intelligent anomaly detection of dynamic threshold, which has successfully predicted several production faults.

  • 99% Recall rate of anomaly detection
  • 90% Accurate rate of anomaly detection
Alarm Root Cause Analysis and Convergence

A telecom operator introduced AISWare AIOps in the alarm convergence scenario of O-domain, which conducts real-time positioning of root causes for alarms and convergence through the dynamic mining of RCA rules of alarm, and effectively alleviates the alarm storm.

  • 98% Reduce alarms
Intelligent Analysis of NFV Network Faults

The operator is grappling with challenges in their NFV production cluster with massive technical components, complex alarms, and difficulties in efficient utilization of monitoring indicators and logs, which pose high daily production pressure for a 5-15-minute detection to recovery. The operator has adopted the analysis capabilities of AISWare AIOps such as log anomaly detection and abnormal KPI detection for more intelligent decision-making and faster fault location through pattern mining and root cause analysis of events.

  • 90% Analysis accuracy rate
  • 92% Question identification accuracy rate
Intelligent Analysis of Operation and Maintenance Work Orders

The operator is experiencing challenges in developing the Q&A robot for the O&M system, resulting in increased human intervention, reduced efficiency, and elevated costs. However, by introducing AISWare AIOps&Copilot with LLM-driven O&M cognition enhancement, the professionalism and accuracy on Q&A is strengthened for higher O&M efficiency, which also lays a practical foundation for new empowerment engine of the digital market.

  • 96% Q&A accuracy rate
  • 90% Answer availability

Documents