Routine and mundane tasks can be boring, especially for your skilled network teams. This is why you should embrace AI and machine learning to perform several tasks for you without the need for human intervention. If you are ready to start your automation journey, MCK Communications is one click away with network solutions with human excellence.
AI is raging. It has been promoted as the permanent solution for improving business performance in network service providers all over the world. But how specifically does AI improve network service management?
In this article, we will examine the role of AI in managed network service providers.
- Customer Support
One of the major roles of AI is automating customer support processes. You can use AI to deploy customer service interfaces and Chabot’s. If you are a network service provider who has to deal with the bulk of customer queries every day, AI-powered chatbots might be the solution you need.
The greatest advantage of using AI is that you can adapt it to your various customer needs. For instance, if you need assistance with communication, you can deploy it into your email, social media, SMS, and even voice messaging.
Apart from freeing up a lot of time for human workers, AI can also automate the handling of questions. There will always be questions that are difficult and need a human agent to respond to, but the majority of questions will be simple and repetitive, and an AI-based customer support system can easily get the work done in no time and completely eliminate waiting times.
AI also plays a key role in the diagnosis of queries. Human errors are always a risk especially when analyzing large amounts of information. But with AI solutions, you are guaranteed efficient and precise information concerning each and every customer query. This will give your customers a sense of autonomy and assurance as they can relax knowing that they do not need to rely on another human to deal with their issues.
Network faults are a common occurrence in many managed network services. When they happen, they require resources and time to fix, and they can be quite expensive. This is where AI solutions come in. AI network maintenance can free up the human workload and reduce the time it takes for general processes to be completed. AI can also prevent network faults from human oversight, which would otherwise be expensive to repair.
Vulnerability testing is also a key area in predictive maintenance. By embracing AI into your services, you can implement scanning for vulnerabilities such as incorrect user permissions, misconfigurations, or software that failed to update. You can also automate patching and repair to eliminate the long windows of vulnerability.
Compared to human-centred approaches, AI solutions are advantageous because they are consistent and ongoing outside the official working hours. AI solutions will still notice intricate patterns and relationships that a human worker can easily miss. Why is this important? It provides root cause analysis and ensures that complex network issues are solved in great detail.
