Most organizations would have a difficult time answering that question despite investments in monitoring and management tools. Network operations teams use an array of tools to monitor the network and collect metrics such as bandwidth utilization, latency and packet loss. If those metrics deviate from predefined thresholds, the monitoring tools alert network administrators so they can mitigate the problem.

However, many NetOps teams lack the actionable intelligence needed for strategic decision-making. They are awash in data but must juggle multiple tools and analyze disparate metrics to identify and troubleshoot issues. Manual effort overwhelms limited staff resources and increases operational risk.

AI-enhanced network management can help relieve these pressures by automating tasks, analyzing data and making real-time decisions for network optimization and security. More than just a monitoring tool, AI-enhanced network management provides the intelligent automation needed to improve network operations. The result is increased efficiency, greater reliability, enhanced security and lower costs.

Reduced Noise, Advanced Automation and Greater Insight

AI and machine learning tools have the power to transform network operations by analyzing network traffic patterns and proactively addressing potential issues. AI-powered analytics can create more customized network baselines that respond to changing conditions and configurations. This reduces noise and false positives and provides the context NetOps teams need to identify and resolve issues faster.

AI can automate routine tasks such as network configuration, monitoring and troubleshooting to significantly improve network efficiency. While traditional automation relies on static workflows and scripts, AI-powered automation enables policy-driven actions that adapt to real-time conditions. AI can also identify anomalies and automatically remediate problems before they impact the business, preventing costly downtime and enhancing the user experience.

By analyzing network usage patterns, AI-enhanced network management can provide greater insight into application performance and predict future demands. This facilitates network planning and enables more proactive resource allocation. AI can also predict network congestion and adapt configurations automatically while ensuring that any changes adhere to approved standards and compliance requirements.

Barriers to AI-Enhanced Network Management

By correlating data across different devices and layers, AI can quickly pinpoint the root cause of network problems. It can also analyze network traffic patterns to identify malicious activity before it causes a full-blown security breach. As AI becomes more sophisticated, it can potentially manage networks autonomously, optimizing performance and preventing problems without human intervention.

However, AI-enhanced network management is not without challenges. Data accessibility is often one of the primary roadblocks. AI-powered tools need access to real-time data from across the network, which can be difficult to obtain in multivendor environments. For AI to be effective, organizations must break down silos and ensure the free flow of telemetry data.

Integrating AI tools with existing automation platforms can also be difficult. Additionally, organizations need robust orchestration to ensure that AI follows change management processes and compliance policies and is auditable and reliable.

Many organizations lack the expertise to overcome these barriers. AI has become one of the largest skills gaps within the persistent IT talent shortage. Organizations need a strong partner who can help them navigate the technical and operational challenges associated with AI implementation.

How Technologent Can Help

Technologent’s Secure Connectivity practice delivers innovative solutions across the domains of secure hybrid cloud networking, secure transport and secure access. These solutions are built on a foundation of observability and management using AI-powered tools. Our experts help organizations streamline their NetOps workflows and implement the structured framework needed to operationalize AI-driven insights safely and efficiently.

Traditional network monitoring and management tools are proving inadequate as networks grow increasingly complex and the IT environment expands exponentially. NetOps teams need tools that provide intelligent automation and the insight needed to maximize performance, availability and security. Let Technologent help you take advantage of AI-enhanced network management to transform your network operations.