Ericsson has strengthened its Service Continuity offering with a suite of more than 200 Artificial Intelligence applications (AI apps) that will help communications service providers (CSPs) boost the efficiency and resilience of their mobile networks.
In a world where connectivity has become a necessity, automation enabled by these AI apps makes it easier for CSPs to deal with technology challenges while ensuring a prominent level of network quality and stability.
The Service Continuity AI app suite is the latest addition to Ericsson’s network Support Services portfolio. This suite has been developed in collaboration with CSPs for predictive and preemptive support. It uses AI and machine learning (ML) technologies to identify and address issues before they impact network performance.
“Ericsson Service Continuity solution is a reliable and preemptive way to succeed with consistent performance for complex services. We appreciate the great collaborative experience the last two years between Vodafone and Ericsson,” says Georgios Anastopoulos, Core & Transport Network Manager, at Vodafone Greece.
“With the adoption of Service Continuity use cases for VoLTE (Voice over LTE), we already managed to simplify our operational activities and preempt underlying issues to ensure a continuous user experience satisfaction through our IMS (IP Multimedia Subsystem) network. We are partnering with Ericsson towards a new way of working using AI/ML that will streamline operations and secure an always-on network even more.”
The AI app suite is split into five functional categories: insights; performance; assurance; self-healing; and energy efficiency. Each AI app is an intelligent algorithm created jointly with CSPs to nip in the bud potential network issues. Combined with Ericsson’s telecom expertise, the pre-trained algorithms also work within specific parameters to elevate performance in line with the goals of the service provider. An AI app is operational 24/7, ensuring complete oversight of the network, otherwise challenging without automation.
One example of these AI apps is *CPRI/SFP failure prevention which helps discover risks of service outage due to CPRI link failure that could adversely affect user experience. An outage would normally require an emergency site visit, but with this AI app, the service provider is able to monitor all relevant links path loss trends and will only recommend a site visit once certain thresholds are passed. This preemptive solution can cut costs per site visit by an estimated 30 percent and the reduced downtime will enhance user experience and overall network performance and stability.
Another example is that AI apps under the self-healing function category have already benefited a customer with a recorded 200 zero-touch fixes per month in their network.
There are also AI apps that measure and analyze energy efficiency per site to get detailed insights into the root cause of any inefficiency. Ericsson, together with a European CSP, has measured daily power savings of up to 15 percent, thanks to the automated energy-savings function of an AI app that enables intelligent activation of the radio’s deep sleep feature.
“Ericsson Service Continuity with its human-guided AI/ML network intelligence will empower our customers to think in data to constantly improve performance while adapting to changing market conditions,” says Nello Califano, Head of Strategy & Portfolio Management, Business Area Networks at Ericsson. “Our suite of AI apps will continue to grow as we create new ones together with our customers. We focus on the outcome, creating simplicity for scale.”