AI-Driven Network Management and Optimization – by GSMA DX Acceleration Forum

AI-Driven Network Management and Optimization – by GSMA DX Acceleration Forum

Start: Wednesday 22 May 2024 16:00

End: Wednesday 22 May 2024 17:30

Venue: Online (GMT+8)

In the era of digital transformation, MNOs face the dual challenge of escalating data traffic and evolving user expectations. AI emerges as a game-changing solution, promising to enhance network management and optimization, enabling MNOs to provide superior connectivity and customer service while maintaining competitive edge. Some of these competitive edge enabling functions include:

AI-Driven Predictive Maintenance
One of the most significant impacts of AI in mobile networking is predictive maintenance. By analyzing vast amounts of network data in real time, AI can predict potential network failures or degradations before they occur.

Automated Configuration and Dynamic Optimization
AI simplifies the complexity of network management through automated configuration and dynamic optimization. Mobile networks consist of numerous elements—base stations, antennas, and backhaul connections—that traditionally required manual adjustments and monitoring.

Enhanced Traffic Management
Traffic management is another area where AI can significantly influence mobile networks. With the ability to analyze data flows and user behavior patterns, AI optimizes data routing and bandwidth allocation to manage congestion and enhance user experience.

Real-Time Security Enhancements
Security is a paramount concern for MNOs, as mobile networks are becoming prime targets for cyber attacks. AI enhances network security by continuously monitoring traffic for unusual patterns that may indicate a security threat.

Energy Efficiency and Cost Reduction
AI also helps MNOs optimize energy consumption across their network infrastructures. By analyzing when and where network resources are needed, AI can reduce power usage during low-demand periods, significantly cutting energy costs and supporting sustainability goals.

This 90-minute virtual seminar will explore the transformative impact of AI on network management and optimization for MNOs. As mobile network operators navigate increasing complexities and competition, AI stands out as a critical technology for enhancing network management and optimization. From predictive maintenance and automated operations to sophisticated traffic and security management, AI not only drives operational efficiencies but also improves the overall quality of service, positioning MNOs to meet current and future challenges in the telecommunications industry.

Agenda
16:00 - 16:05

Welcome & Introduction
Julian Gorman, Head of APAC, GSMA

John David Kim, Head DX Acceleration Forum, GSMA

16:05 - 16:20

Presentation #1:

Global Status - AI for Network Management/Optimization*

Peter Jarich, Head of GSMA Intelligence

16:20 - 16:30

Presentation #2:

The path to AI Telco Infra Evolution

Minsoo Na, Director & Head of 6G Development Team, SK Telecom

16:30 - 16:40

Presentation #3:

Cognitive Networks, AI in Operations

Christopher Price, Director of Advanced Technology, Ericsson CTO Group

16:40 - 16:50

Presentation #4
Cloud Service Provider/Chip Ecosystem Player
Microsoft/Chip Manufacturer

16:50 - 17:25

Panel Discussion Session
Moderator:  John David Kim, Head of DX Acceleration Forum, GSMA

 

Panellists:

  • Minsoo Na, Director & Head of 6G Development Team, SK Telecom
  • Christopher Price, Director of Advanced Technology, Ericsson CTO Office
  • Microsoft
  • Chip Manufacturer
  • GSMA/Consulting/Research

17:25 - 17:30

Closing & Next Steps

Speakers