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Network Infrastructure Magazine | Saturday, January 15, 2022
AIis poised to revolutionize network administration and operations. The technology will also significantly impact how network managers and workers work.
Fremont, CA: Artificial intelligence (AI) and AI-powered solutions are intended to improve network performance and ensure that everything runs smoothly and efficiently. However, as vendors continue to release new AI tools, the technology will impact how network administrators approach their tasks. AI assists network administrators in achieving improved security and compliance. Network management may achieve higher efficiency, compliance, and security with the help of AI.
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Here’s how AI is changing the network management landscape:
Artificial intelligence (AI) and machine learning (ML) will enable network teams to create models that will aid in people's diagnosis and management of networks. AI can detect minor signs of impending cable failure that human observers might miss, such as a higher-than-normal frequency of frame errors. AI networks are built to respond quickly to significant situations, increasing network uptime and providing a better user experience.
AI can also be used to automate basic networking activities, including recognizing application behavior and traffic flows, and application discovery. Another advantage is that networks may be built around application requirements, and security can be built right into the network. AI systems are self-correcting, which means that once they're set up, they're mostly hands-off. Network managers can then devote more time and effort to planning and development rather than maintenance.
AI also has the potential to make networks more efficient and less prone to human mistakes in configuration and operation. AI for network and network security is bringing a new level of efficiency and precision to network and network security operations, allowing network and security teams to take network operations to the next level. Network experts can use AI and machine learning to improve the availability and dependability of their networks.
Network managers will increasingly rely on AI and machine learning to make real-time changes to network operations in the coming years. Routers could intuitively learn and grasp the nature and purpose of individual network services, as well as how they are expected to act, in an AI-enabled future. Then routers might prepare ahead of time how to groom traffic across core networks, boosting core network efficiency.
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