欧博娱乐What Is Artificial Intelligence (AI) in Networ
What is artificial intelligence (AI)?
Artificial intelligence simulates intelligent decision making in computers. It’s not uncommon for some to confuse artificial intelligence with machine learning (ML) which is one of the most important categories of AI. Machine learning can be described as the ability to continuously "statistically learn" from data without explicit programming.
What are the advantages of AI and ML in networking?The benefits of implementing AI/ML technology in networks are becoming increasingly evident as networks become more complex and distributed. AI/ML improves troubleshooting, quickens issue resolution, and provides remediation guidance. It brings about critical insights to improve user and application experience. AL/ML can be used to respond to problems in real-time, as well as predict problems before they occur. It also augments security insights by improving threat response and mitigation.
How does AI transform networking?Using AI and ML, network analytics customizes the network baseline for alerts, reducing noise and false positives while enabling IT teams to accurately identify issues, trends, anomalies, and root causes. AI/ML techniques, along with crowdsourced data, are also used to reduce unknowns and improve the level of certainty in decision making.
How important are AI and ML technologies in managing and monitoring today’s networks?Collecting anonymous telemetry data across thousands of networks provides learnings that can be applied to individual networks. Every network is unique, but AI techniques let us find where there are similar issues and events and guide remediation. In some cases, machine learning algorithms may strictly focus on a given network. In other use cases, the algorithm may be trained across a broad set of anonymous datasets, leveraging even more data.