The adoption of artificial intelligence and machine learning technologies is increasing. According to recent research, nearly 60 percent of communication and digital service providers say they have used AI and ML-powered technologies in one way or another in their operations. This proves that even though applying artificial intelligence and machine learning in telecommunications is still relatively new and expensive, communication and digital service providers firmly believe that the technology is worth implementing. Many service providers still wonder about the right ways to utilize and monetize artificial intelligence and intelligent big data analytics, as there aren’t as many use cases as we’d wish there to be. Nonetheless, market research and observations give us some interesting use cases of the most promising ways to leverage and monetize technologies based on artificial intelligence and machine learning.
Creating and managing smart networks
With 5G networks becoming more widespread around the world, communication and digital service providers are looking for ways to prepare their networks, knowing that realizing the full potential of 5G technologies requires large-scale automation. This kind of automation can only be provided by Artificial intelligence and machine learning. By using AI and ML-based solutions, telecommunications companies and other digital service providers can make their networks intelligent. But what exactly are these “smart grids”?
Automated, cross-vendor, self-healing and auto-scaling
To thrive in a world of 5G networks with an impending boom in 5G and IoT services, communication and digital service providers need to make their networks more autonomous, which can (and should) include automatic network scaling and recovery. It will also involve finding ways to Eliminate vendor retention and enable real-time vendor switching so CSPs can choose the VNFs that best suit today’s business needs. So if an operator wants to provide their network intelligently enough for future services, the use of intelligence and machine learning are a must. The success of providers of communication and digital services will largely depend on the speed, speed and flexibility of their services and networks.
Predictive and preventive maintenance
In addition to the more virtual area of network administration, digital and communication service providers also have to take care of the physical network infrastructure, which requires a high level of maintenance in terms of finance and human resources. The solution might be AI-powered predictive and preventive maintenance, which allows smarter resource allocation. Ideally combined with autonomous tools such as drones that optimize maintenance processes and save time and money. Apart from optimizing management of large infrastructure in the populated areas, these solutions also allow the deployment and maintenance of networks in very remote, hard-to-reach locations, which has been impossible until now.
Deploying and monetizing 5G services
To date, 5G hasn’t really made the big change it should. The arrival of the next-gen network was considered a real game changer, but almost nothing changed. Why? It might be because we’re thinking about the wrong 5G. Fifth generation networks offer better connections and higher speeds, but nothing else really innovative. However, it is the 5G services that can take the market for a big shock. Here we can think of two types of 5G services: B2B (business-to-business) and B2C (business-to-consumer). Monetization opportunities can come from either, and here’s how.
