Service Providers Leverage AI

Three Ways Service Providers Can Leverage AI Right Now  

Mobile network operators need better data analytics to manage growing data volumes. While much of the hype surrounding artificial intelligence (AI) and machine learning (ML) centers around the future, modern service providers know the future is now.

AI analytics and network visibility experts from Celfocus and Keysight work with carriers worldwide to advance three timely use cases for AI-enhanced data.

What you will learn:

• How modern service providers can use AI-powered analytics based on real-time network traffic and subscriber-aware UP metadata to enhance subscriber experience, streamline network operations, and monetize usage data.

Higher quality, lower cost, and targeted monetization

Using subscriber-aware UP (User Plane) metadata generated by Keysight network visibility platforms, Celfocus delivers end-to-end AI/ML analytics offerings that equip service providers to:

• Deliver a world-class subscriber experience  
• Reduce operational complexity, energy consumption and total cost of ownership (TCO)
• Launch targeted, ad- and location-based intelligence services

“Performance insights improve customer experience management

A 360-degree view of the customer experience helps operators raise subscriber satisfaction and in turn retention. Proactive performance troubleshooting improves quality of service and experience (QoS/QoE), avoids outages, and accelerates mean-time-to-repair (MTTR). Individualized subscriber data promotes more personalized support that helps to prevent issues, speed response, and strengthen loyalty.

Network insights optimize operations

Operators use ML models to analyze utilization data, predict performance, and help automate investment decisions. AI-driven analytics provide granular insight into subscriber identity, geolocation, application and device usage. These and other insights help carriers understand when and where they should invest in new facilities or hardware to meet subscriber quality expectations and how to reduce power consumption and TCO

Usage insights fuel high-growth location-based services

AI/ML-driven insights from the Celfocus big data lake help operators fast-track personalized, differentiated services targeting specific industries and customer demographics. Detailed analytics also help carriers monetize network insights to drive higher average revenue per user (ARPU):

• AI-led location metadata helps government agencies build local infrastructures for urban mobility, public safety, and Internet of Things (IoT) transformations

• Retailers leverage subscriber identity, location, and behavioral insights to drive foot traffic and launch personalized ad campaigns and promotions

• AI informs Industry 4.0 initiatives promoting worker security in factories and helps streamline inventory management and process automation

Threat insights bolster security

Real-time subscriber-aware UP metadata provides monitoring probes and security tools with data optimized for troubleshooting, detection and response. Insights generated by Keysight and Celfocus help service providers protect subscribers’ personal and payment information, hunt for and detect threats and anomalies early on. Law enforcement agencies also use AI-enhanced threat insights to prevent and investigate fraud.  

Where the AI insights come from

Together, Keysight and Celfocus deliver a complete real-time view of services being provided.

Actionable analytics start with complete, real-time insight across diverse service provider environments made up of 5G, legacy mobile, fixed networks, and private and public clouds.

Keysight visibility goes beyond raw network feeds to capture both user and control plane (UP and CP) data for granular session-level visibility across RAN, transport, and core. Subscriber-aware UP Metadata generated by Vision AI-enhanced network packet brokers (NPBs) helps accelerate threat detection, response, and seamless closed-loop automation in Celfocus’s Cognitive Operations framework.

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