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.
Automatically identifies optimal algorithms for exception detection based on historical data patterns.
Employs intelligent mining of alert RCA and link graphs to pinpoint fault sources.
Intelligent O&M Copilot deriving from exclusive LLMs
Train LLMs with domain-wide O&M knowledge for better understanding O&M terms
Offer Ready-to-use O&M professional services with long-lasting optimization in closed loop
Support intelligent decision-making and execution by collaborating and orchestrating among multiple AI Agents
Higher O&M Efficiency
Assured System Operation Quality
Optimized Cost-Effective
Boosted O&M Capability per Capita
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.
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.
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.
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.
Tel: (010)82166688
Fax: (010)82166699
Business Cooperation: marketing@asiainfo.com
Complaints Mailbox: AI_AC@asiainfo.com
Tel: (010)82166688
Fax: (010)82166699
Business Cooperation: marketing@asiainfo.com
Complaints Mailbox: AI_AC@asiainfo.com
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