4 Facts about AI in Capacity Planning
AI provides useful information to organizations about capacity planning. Network capacity planning ensures that all the resources are available to prevent traffic. Developers are always concerned with planning and utilizing network capacity, as error can make users dissatisfied. AI analyzes large volumes of data to make accurate forecasting. Based on this forecasting, businesses take pre-steps to avoid traffic.
Facts about AI in Capacity Planning
AI is increasing capacity planning’s efficiency through continuous learning and development. It also monitors different situations in network capacity and how they have solved issues. Thus AI provides accurate plans to organizations. Here you can know four facts about capacity planning:
1. AI’s Logical Next Focus Point
At first, organizations preferred AI to use in demand forecasting. But now, they are focusing on using incapacity planning. And why not? AI can predict possible traffics and provide solutions. It is pretty hard, near to impossible, and time-consuming for a human being to analyze 5 to 10+ years of data on traffics and predict the future. But AI can do this in minutes.
2. Continuous Improvement
Organizations need to update themselves to cope up with the changing situation continuously. AI’s most potent ability is continuous improvement. It uses machine learning. ML learns from previous experience and improves itself. It stores past data and finds changes in patterns. Through changes and how developers have solved them, it learns new ideas and provides them to the team.
3. Real-time Planning
Traditionally, developers used to predict the future by analyzing data. It took several days to analyze all the data. Within this time, situations used to get changed. As a result, they could not make efficient planning on time. But now, AI is continuously monitoring pattern changes and predicting traffics within minutes. Thus developers are taking real-time planning to cope up with the situation.
4. Cost Reduction
AI increases profit and reduces cost at the same time. Before using AI, organizations used to hire extra employees to analyze data and forecasting. As it took lots of time, they needed to pay a high salary. Now the process is automated. Organizations can save operational and monitoring expenses.
AI is positively changing the traditional way of capacity planning. With today’s business challenges, AI is also improving itself. AI is reducing traffic and creating a balance between forecasting and real-time planning. Thus it improves organizations’ capacity planning.