Using network AI to support intent-based operations, organizations can achieve their business goals faster and more effectively with less risk. This is achieved by automating routine tasks, improving performance, and leveraging security to ensure data privacy. A more efficient, secure network frees IT teams to pursue strategic improvements and innovations with greater impact.
Intent-based operations are designed to streamline networking tasks and improve IT staff efficiency by eliminating manual actions. Once intent is registered, visibility agents are deployed to continuously monitor the network and report on the current and predicted state. If an issue is detected, the network identifies potential solutions and recommends them to IT staff. This enables IT to focus on high-value activities and improve the user experience.
Increased efficiency and reduced costs from automation and intelligent analytics improve businesses’ bottom lines. This translates into better service delivery, improved IT budgets, and more time to pursue other improvements and innovations. In addition, a more agile, automated, and self-healing network enables businesses to adapt to change and reduce the impact of outages quickly.
Network AI improves network performance and reliability by automating configuration changes, prioritizing bandwidth capacity, reducing latency, and optimizing traffic flow. Unlike traditional monitoring methods such as Simple Network Management Protocol (SNMP), which uses a static model, AI continually observes live network traffic and adjusts to optimize traffic flow and resources based on real-time usage patterns. This results in a more reliable network that delivers end users a faster and smoother computer and laptop experience.
Ai sifts through massive amounts of log data to identify patterns that may indicate a threat or performance metrics that are not meeting expectations, allowing IT to take corrective action before the problem escalates. For example, AI can automatically reroute network traffic when detecting interference or congestion. It can also predict network growth trends, enabling the right amount of capacity to be reserved, and it can fine-tune performance metrics to meet evolving requirements.
Intent-based networking requires a sophisticated architecture to identify and proactively address performance issues before they impact users. The best networks utilize various AI technologies to deliver the best possible network performance and security while providing IT with a clear picture of the health and status of their infrastructure at all times. This holistic approach to network management provides a more seamless and secure IT environment that supports the most demanding business needs.