s time to check its performance and stability. Performance tests are run with a large call volume to test the sizing and capacity of the network. These tests are generally run on simulators SO that any failure does not impact production traffic. Both the throughput and maximum transaction per second are tested. Similarly, longevity tests are run, which involve having a large number of active subscribers and constant data downloads. The performance of these subscribers is monitored over a long duration ranging from days to weeks. This is to monitor the degradation of the KPIs over a period of time. Integrating CI/CD pipelines: Continuous integration/continuous delivery (CI/CD) pipelines can be set up after the initial integration. This is slowly becoming the norm in the industry. Software updates are tested for sanity via automation and also deployed automatically on the Automation, Orchestration, and Testing nodes, mostly in a staging environment. This reduces manual intervention and quickens the development and operations cycle. Once the network is integrated, it is a great idea to start the CI/ CD pipeline to ensure all the various components have the latest code for the best performance. In this section, we have understood various aspects of network integration, the role automation has in it, and how to go about doing it in a simple manner. In the next section, we will discuss the areas of monetization of the network and how AI and ML can help in enhancing revenue. Monetization via AI and ML AI and ML are no longer buzzwords. They have very much become a reality in modern networks. A telecom network is a treasure trove of important information that can be mined and analyzed to further improve business opportunities and the network itself. Patterns in user behavior can be mined and analyzed to suggest better mobile usage plans for them. They can be used to provide meaningful insights to the user. For example, if the user is in a mall, there could be a recommendation of ongoing discounts or the latest offers in 