Ericsson introduced new capabilities leveraging Explainable AI (XAI) within its Cognitive Software portfolio for communications service providers (CSPs) to significantly improve time-to-value from AI adoption in network design and optimization.
The new capabilities add “full explainability” on actions recommended by the AI-powered solution that identifies the root causes of events affecting network performance and end user experience. This gives optimization teams visibility on the highest contributing factors to the issue, the impact on network performance, and recommended actions.
Ericsson said its solutions rely on AI models trained on the largest, most diverse global data sets in the market, which can also be retrained locally for fast and flexible use case deployment.
In addition to the new XAI capabilities, an intuitive and adaptable user interface is also being introduced to enable CSPs to boost productivity.
Jean-Christophe Laneri, Vice President & Head of Cognitive Network Solutions at Ericsson: “The complexity and sophistication of AI-powered systems is evolving at a fast pace, and facilitating the easiest and most agile adoption of these capabilities for CSPs is key to minimize time to value. Explainable AI provides methods and techniques to understand AI models, which brings transparency to otherwise opaque decision-making processes. We are very excited with making these capabilities available in our Cognitive Software applications and consider this a fundamental step in the automation journey.”
