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GenI throublehooting and log analysis

Service description

We deliver AI-driven solutions to optimize system performance through advanced log analysis. Using Generative AI, the service identifies inefficiencies, uncovers patterns, and provides actionable insights to streamline operations, reduce downtime, and enhance overall system reliability.
Expected results: Faster identification of system inefficiencies, optimized operations, reduced troubleshooting time, minimized downtime, and improved system reliability through actionable insights.
Methodology: Assessment: Review existing log management and troubleshooting processes, identifying inefficiencies and gaps in how system logs are monitored and analyzed.
Data Collection: Gather system logs, error reports, and performance metrics.
AI Training: Use historical data to train Generative AI models for identifying patterns and common failures.
Deployment: Integrate the AI models into the system for continuous log analysis.
Real-Time Monitoring: Continuously analyze logs in real-time to detect inefficiencies and anomalies.
Optimization: Continuously improve AI models based on feedback and detected issues.
Target: Manufacturing & Automotive
  • Organisation: REPLY
  • Type: Experiment
  • SUT/E: Rag Systems based on Gen AI
  • Average duration: 4.0 -- 6.0 months
  • Contact: m.diflorio@reply.it

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