-
Updated
Jun 4, 2022 - Jupyter Notebook
incident-management-data-analysis
Here are 5 public repositories matching this topic...
Enterprise-grade AI-driven IoT operations platform implementing real-time smart-bin telemetry ingestion, offline anomaly detection, Supabase-backed incident ledger, SLA-aware orchestration, automated ticketing, and route-optimized field dispatch via n8n, Twilio, Monday.com, Google Maps, and Telegram in a cloud-native, event-driven architecture.
-
Updated
Jan 10, 2026 - Shell
Enterprise-grade AI-driven IoT operations platform implementing real-time smart-bin telemetry ingestion, offline anomaly detection, Supabase-backed incident ledger, SLA-aware orchestration, automated ticketing, and route-optimized field dispatch via n8n, Twilio, Monday.com, Google Maps, and Telegram in a cloud-native, event-driven architecture.
-
Updated
Jan 10, 2026 - Shell
Discover LANDesk Management Suite, the powerful platform for centralized IT management. Automate complex tasks, manage hardware and software assets, and secure your enterprise systems from a single console. Ideal for optimizing IT workflows and maintaining robust network infrastructure.
-
Updated
Sep 10, 2025
Build a production-style AI system that ingests logs and metrics, detects anomalies, and uses an LLM to summarize incidents and suggest likely root causes, with observability and reliability in mind.
-
Updated
Mar 12, 2026 - Java
Improve this page
Add a description, image, and links to the incident-management-data-analysis topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the incident-management-data-analysis topic, visit your repo's landing page and select "manage topics."