a presentation PDF
AI Agents in Telecom Networks
May 20, 2026 : 3pm - 4pm Sydney Time
May 20, 2026 : 2pm - 3pm UK Time (London)
May 20, 2026 : 11am - 12pm CDT (Dallas Time)
AI Agents in Telecom Networks leverage artificial intelligence to enhance network operations and management within telecommunications systems. These agents utilize machine learning algorithms to optimize network performance, predict and mitigate issues, and improve customer service through automation and personalization. By integrating AI agents, telecom networks can support advanced applications such as real-time analytics, proactive maintenance, and dynamic resource allocation. This integration addresses challenges like scalability, security, and interoperability, driving innovation and efficiency in modern telecom networks.
- Define and describe the role of AI agents in telecom networks
- Explain how AI agents optimize network performance and predict issues
- Identify various applications of AI agents, such as real-time analytics and proactive maintenance
- Describe the challenges and benefits of integrating AI agents in telecom networks
Welcome to 5G Advanced - R18 and Beyond
Coming soon!
5G Release 18 is the beginning of 5G Advanced. It expands the applicability of 5G to more industry verticals, integrating AI and ML into the RAN and core. Release 18 enhances features and performance of 5G networks to support IoT, immersive experiences and more. After attending, you will be able to:
- Describe the motivating factors behind 5G Advanced
- List key features covered in 3GPP Rel 18
- Step through the role of AI/ML in 5G RAN
- Explain key enhancements to support XRM, RedCap, NTN, and NPN service
Private AI Telco Cloud Architecture Overview
Coming soon!
Private AI Telco Cloud Architecture integrates artificial intelligence capabilities within private telecommunications cloud environments. This architecture leverages AI to enhance network management, optimize performance, and improve customer experiences. By utilizing advanced technologies such as edge computing, network function virtualization (NFV), and software-defined networking (SDN), it supports various applications including smart cities, IoT, and automated network operations. The integration of AI in telco cloud architecture addresses key challenges like scalability, security, and interoperability, paving the way for innovative solutions in modern telecommunications. After attending this webinar, you will be able to:
- Define and describe Private AI Telco Cloud Architecture
- Explore the underlying technologies and systems supporting this architecture
- Identify new and emerging use cases enabled by private AI telco cloud
- List key challenges and considerations in implementing private AI telco cloud solutions