How does Cisco utilize AI in network assurance?

Cisco employs AI in network assurance primarily by optimizing network performance through the utilization of historical data. This is fundamental because historical data provides insights into past network behaviors, allowing algorithms to identify patterns, predict future performance issues, and suggest optimizations in real-time. By analyzing trends and anomalies in network performance, AI can help network administrators make informed decisions to enhance efficiency, reduce downtime, and improve overall user experiences.

Using this data-centric approach, Cisco's AI-driven tools can proactively manage network connectivity and reliability. This method contrasts with merely increasing hardware capabilities or bandwidth, as it emphasizes the intelligent use of existing resources in a more efficient manner based on empirical evidence gathered over time. The focus on historical data also aids in creating accurate predictive models, which can preemptively address potential network issues before they escalate, thereby ensuring consistent network assurance.