Month: February 2025

Categories
Software Intensive Networks

Optimize Telecom Network Management with Generative AI

Reduce Opex by 30% and enhance customer experience with AskNetwork

Telco networks, spanning 5G, fiber, IoT, and cloud, feature intricate topologies, diverse devices, and multi-layered services, making traditional network management increasingly burdensome. Telcos allocate 15-20% of their revenue to network operations, primarily due to manual processes and outdated systems. For instance, managing alarms in a telco network is complicated by network complexity, fragmented monitoring systems, and a high volume of alarms. These inefficiencies drive up costs and impact customer satisfaction, with outages resulting in lost revenue and potential churn.

Telcos should adopt a comprehensive Generative AI (GenAI)-driven solution to address these issues. “GenAI in Telecom network management can significantly reduce $20 billion spent annually on network outages and service degradations” – TM Forum.

Implementing AskNetwork, a GenAI-powered framework, facilitates seamless, real-time interaction with network data through a conversational interface. It consolidates fragmented systems, simplifies alarm management, provides automated root cause analysis, and eliminates the need to maintain multiple dashboards, platforms, and integrations. It helps to efficiently manage network complexity, leading to enhanced performance and customer experience.

Fig: Leverage AskNetwork for automated Root Cause Analysis (RCA) and network outage resolution


“GenAI in Telecom network management can significantly reduce $20 billion spent annually on network outages and service degradations” – TM Forum.

Categories
Operational Excellence

From speech to insights: Harness the power of human voice

Transform contact centers with GenAI-powered Voice Intelligence framework to cut costs and reduce repeat calls by up to 85%

In today’s digital landscape, contact centers serve as the frontline of customer service, handling millions of interactions across various channels. As customer expectations evolve, deriving insights from the call recordings becomes essential for improving customer experience and boosting operational efficiency. According to McKinsey, “85% of business leaders say it’s essential to analyze call data for insights. However, only 16% of enterprises fully utilize the data generated from call recordings”. Most contact centers struggle to derive actionable insights from calls, which leads to prolonged resolution times, inconsistent service quality, risk of churn, and customer dissatisfaction.

To overcome this, service providers should implement Voice Intelligence, an automated, GenAI-powered framework to extract actionable insights from calls and enhance contact center efficiency. It helps reduce repeat calls and call handling time, thereby improving customer experience. Further, it helps service providers improve the First-Call Resolution rate and achieve huge cost savings.

Fig: Leverage a GenAI-driven Voice Intelligence framework to gain real-time actionable insights from customer calls


“ Only 16% of enterprises fully utilize the data generated from call recordings” – McKinsey.