Modern distributed hybrid enterprise environments are moving away from siloed monitoring toward integrated AIOps platforms. Selector AI, presented at AI Field Day, offers a data-centric observability platform that ingests multi-domain telemetry (metrics, logs, configs, alerts, topology) into a unified analytics layer. Key features include a Network Language Model fine-tuned on networking telemetry for natural language ops queries, AI agent workflows using RAG for autonomous network operations, and a co-development model where customers get per-instance customization. The platform is positioned as an alternative to building in-house solutions, which typically require 18-24 months and multimillion-dollar budgets. A phased adoption approach is recommended, starting with proof-of-value on critical services before expanding to predictive operations and broader automation.
Sort: