Today, your remediation team is forced to take a painstaking Trial-and-Error Approach to resolve incidents. It is extremely time-consuming and doesn’t lend itself to more effective and predictable outcomes via systematic learning. FogLogic combines AI/ML with collaboration technologies to remediate incidents proactively. The collaboration content is mined to enable closed-loop learning, ensuring that information about what worked and what didn’t informs the knowledge base so that automated recommendations improve over time. At the same time, this builds a foundation for a future “self-healing” system.