Predictive AI enables IT teams to shift from reactive to proactive incident management by identifying issues before they impact operations. It uses machine learning and analytics to analyze historical and real-time data, detecting patterns that signal potential disruptions like latency, resource strain, or hardware failures. Key use cases include early detection of network issues, predictive hardware maintenance, efficient resource allocation, and automated root cause analysis. This approach reduces downtime, boosts efficiency, and enhances user experience. Riverbed IQ leverages these capabilities, positioning predictive AI as a strategic tool for resilient, scalable IT operations.

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