Ericsson Unveils Over 200 AI Applications for Network Resilience
In a world where connectivity has become a necessity, the automation enabled by these AI applications makes it easier for CSPs to meet technological challenges while ensuring a high level of network quality and stability.
The Service Continuity AI application suite is the latest addition to Ericsson’s network support services portfolio. This suite was developed in collaboration with CSPs for predictive and preemptive support. It uses artificial intelligence and machine learning (ML) technologies to identify and fix problems before they affect network performance.
“The Ericsson Service Continuity solution is a reliable, preemptive way to achieve success with consistent performance for complex services. We appreciate the great collaboration experience of the past two years between Vodafone and Ericsson,” says Georgios Anastopoulos, Head of Core and Transport Network at Vodafone Greece.
“With the adoption of service continuity use cases for VoLTE (Voice over LTE), we have already succeeded in simplifying our operational activities and anticipating the underlying problems to ensure a continuous satisfaction of the user experience. through our IP Multimedia Subsystem (IMS) network We are partnering with Ericsson for a new way of working using AI/ML that will streamline operations and further secure an always-on network.
The AI application suite is divided into five functional categories: information; performance; insurance; self healing; and energy efficiency. Each AI application is an intelligent algorithm co-created with CSPs to nip potential network issues in the bud. Combined with Ericsson’s telecommunications expertise, the pre-trained algorithms also work with specific parameters to elevate performance in line with service provider goals. An AI application is operational 24/7, providing comprehensive network monitoring otherwise difficult without automation.
An example of such IA applications is *CPRI/SFP outage prevention which helps in discovering the risks of service outage due to CPRI link outage which could adversely affect the user experience. An outage would normally require an emergency site visit, but with this artificial intelligence application, the service provider is able to monitor all relevant link path loss trends and will only recommend a site visit once times certain thresholds are exceeded. This preemptive solution can reduce costs per site visit by approximately 30% and the reduction in downtime will improve user experience and overall network performance and stability.
Another example is that AI applications in the category of self-healing functions have already benefited a customer with 200 non-contact fixes registered per month in their network.
There are also AI applications that measure and analyze energy efficiency by site to get detailed insights into the root cause of any inefficiencies. Ericsson, in collaboration with a European CSP, has measured daily energy savings of up to 15%, thanks to the automated energy saving function of an AI application which enables the intelligent activation of the function of radio deep standby.
“Ericsson Service Continuity, with its human-guided AI/ML network intelligence, will enable our customers to think about data to constantly improve performance while adapting to changing market conditions,” said Nello Califano, Head of Strategy and Portfolio Management, Business Area Networks at Ericsson. . “Our suite of AI applications will continue to grow as we create new ones with our customers. We focus on the result, creating simplicity at scale.
Learn more about the Ericsson Service Continuity AI application suite in this Tech Unveiled blog
*CPRI (Common Public Radio Interface)/SFP (Small Form Factor Pluggable)