AI&ML are becoming more prevalent across the network, from edge to core. They’re being used for everything from security threat detection to traffic analysis. But what does this mean for your organization? How can you leverage these technologies effectively? And how do they affect existing processes and procedures?
However, as time goes on, we will see more and more networks being monitored using AI and ML techniques. Here are some reasons why you should consider adding an AI or ML system to your existing network monitoring tool:
- It can make better decisions than humans.
- It doesn’t get tired like human operators do.
- It learns over time.
- It does not require any manual intervention.
- It provides instant alerts when something happens.
- It reduces false positives.
- It helps reduce costs by automating repetitive tasks.
- It improves efficiency.
- It increases productivity.
- It makes sure everything runs smoothly.
AI can be used to solve many different types of networking problems. One example would be automatic troubleshooting. When something goes wrong on your network, you need someone who understands how things work to fix the issue. However, if you’re using an NPM, then you don’t necessarily need to call up a technician or engineer. Instead, you can let the AI do the heavy lifting by analyzing the data sent from your devices.
More info: Network Monitoring Services
