How AI Can Improve Network Capacity Planning
AI technology can take in large volumes of data as input and forecast accurate demand. Businesses make their capacity planning based on forecasting. AI scans data, assesses the differences in network traffic, and reduces the need for resource over-provision. Early detection of traffic helps organizations to take pre-steps to ensure smooth network performance.
AI in Network Capacity Planning
AI is an automated process. It makes the capacity planning process faster and efficient. This method assesses real-time network conditions to make routing and allocation decisions dynamically. Thus it reduces the cost of operations like developing and maintaining the network. Automation helps IT, experts, to focus on their core work instead of trying to find traffic.
After Implementing AI, it automates the network capacity planning process. It can analyze different data points in minutes. If organizations use a manual process, it will take days to complete the analysis. AI also makes the network layers transparent to make them understandable to the team members.
AI can help in both short-term and long-term capacity planning. Developers can use it to find daily traffic bursts. It may include application, or location, or technology, and many more. Thus it helps to work smoothly at peak hours. Again, AI uses these short-term bursts to analyze and make long-term optimal capacity planning.
Get Success with AI-powered Capacity Planning
Organizations are continuously adopting AI-powered capacity planning processes to gain success. It is a proven technology. AI-driven ML learns from previous network performance. Thus it continuously improves itself. AI collects data from the organization’s cloud storage. So the data sources are reliable and consistent.
Another reason for adopting AI-driven capacity planning is, it provides information in real-time. AI not only predicts network capacity, but it can also identify the sudden changes in networks. AI continuously monitors the networks. As soon as it finds issues, it sends an alert to the team. The members can solve the issues before it gets bigger. AI reduces downtime and traffic. It increases users’ experience and attracts more customers.
AI provides information in the shortest possible time and helps developers to make decisions on time. Machine learning is continuously improving its accuracy level. As businesses are becoming more network and internet-oriented, it is perfect to adopt AI incapacity planning.
