tech
How network intelligence can help businesses anticipate risks, ensure uptime, and deliver on AI
Network intelligence can help organizations become more agile and secure, boosting their digital resilience in the future.
TL;DR
- Data centers generate vast amounts of activity data, but it needs context to be valuable for AI, resiliency, and insights.
- Network device telemetry is crucial for diagnosing incidents, detecting threats, maintaining compliance, and optimizing business outcomes.
- The DIKW hierarchy (Data, Information, Knowledge, Wisdom) illustrates the progression from raw data to strategic decision-making.
- A unified data fabric can bridge network telemetry with broader enterprise data, enabling predictive and proactive network intelligence powered by AI.
- Data fabric architecture federates data, normalizes and enriches it in real time, and creates correlations across domains for a holistic operational view.
- This architecture minimizes manual intervention, reduces mean time to detect and repair, and supports autonomous operations.
- Achieving network intelligence involves unifying key data sources, normalizing and standardizing telemetry data, and adopting supervised agentic playbooks.