With the emergence and rapid increase in popularity of generative AI, it has quickly become the “must-have” technology. Organizations are already using it to improve customer experience, streamline service delivery and increase employee productivity. Communications Service Providers are no different, with some already using it for customer service chatbots, marketing and more. But as CSPs push to decrease capital intensity (make more profit from fewer resources), they are starting to consider other applications for AI within their businesses.
With telecoms companies considering how they can use AI to achieve better results for their businesses, there are many complexities to consider. As highlighted in the Telecommunications Generative AI Study, released by Altman Solon in September 2023, there is a wide disparity between the readiness and capability of telecoms providers to use AI to its fullest potential.
The move from chatbots to AI-powered network planning, for example, requires a level of expertise and competence which could be hard to develop in-house. In addition, many CSPs are weighing up the benefits of creating an AI planning tool in-house versus using one that is publicly available. It’s a challenging but business-critical decision. Keeping sensitive network data in-house represents a risk-aware strategy, but training an AI module on an existing network, using the provider’s current planning methodology, will only succeed in entrenching poor practice and deliver less than optimal results. An AI module that has been developed independently of any specific providers with the intention of providing the most optimal network planning results will ensure that CSPs get the network performance that they require, but might bring with it security concerns.
Aria Networks have patented AI built into our network planning and optimization software. While some CSPs may just have started considering how they can use AI to improve network performance, we are already doing it, and have been for some time. Using our AI planning engine, our customers can ensure that their networks are performing optimally, while also reducing CAPEX and increasing consumer satisfaction.
We enable the visualization of complex multi-layer networks. CSPs can simulate network changes and outages, giving an understanding of the impact of changes to the network on all layers of the network. Using our AI-engine, they can then optimize the network to ensure it is able to reliably deliver on all of the requirements put upon it. Our customers can reduce expenditure, increase new business win rates and ensure customer satisfaction for all of their complex and ever changing service offerings.
We understand that data security is a concern for all; our software can be hosted within a customer’s infrastructure with no requirement to be connected to the internet or servers.
To understand the impact AI could have on your network: decreasing capital intensity, improving customer satisfaction and increasing revenue, get in touch to find out more about Allegro – Aria Networks’ AI-powered network planning and optimization software.