Private AI Telco Cloud Architecture Overview

Jun 18, 2025 : 3pm - 4pm Sydney Time

Jun 18, 2025 : 2pm - 3pm UK Time (London)

Jun 26, 2025 : 11am - 12pm CDT (Dallas)

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

Evolving 5G RAN to an AI-RAN

Jul 15, 2025 : 11am - 12pm CDT (Dallas)

Jul 29, 2025 : 3pm - 4pm Sydney Time

Jul 29, 2025 : 2pm - 3pm UK Time (London)

5G RAN is complex, delivering extreme high data rates in Gbps and extreme low latency of 1ms by utilizing low, mid, and high band spectrum. With advances in hardware (compute power, storage) and software (automation and AI), it’s a natural progression to incorporate Automation and AI concepts for energy-efficient and autonomous RAN. AI-RAN uses machine learning to optimize resource utilization, predict network congestion, reduce energy consumption, provide self-healing capabilities, etc. After attending, you will be able to:

• Identify the challenges current 5G RAN faces
• List the opportunities AI brings for closed loop automation in 5G RAN
• Identify key features and capabilities provided by AI-RAN to make it 6G ready
• Identify key challenges and considerations in the evolving path to AI-RAN

Integrated Sensing and Communication (ISAC)

Aug 21, 2025 : 3pm - 4pm Sydney Time

Aug 21, 2025 : 2pm - 3pm UK Time (London)

Aug 21, 2025 : 11am - 12pm CDT (Dallas)

Integrated Sensing and Communication (ISAC), a feature of 5G Advanced towards 6G, integrates the communication capabilities of wireless networks and the sensing capabilities of radar into a unified system. ISAC uses the same RF signals and a single set of radio equipment to transmit data and sense the environment. These dual capabilities enable various new and emerging applications, such as autonomous vehicles, industrial automation, precise localization, and environmental monitoring, to name a few. After attending, you will be able to:

• Define and describe ISAC in 5G Advanced and 6G wireless systems
• Explore underlying technologies and systems to support ISAC
• Explore many new and emerging use cases supported by ISAC system in 6G
• List key challenges and considerations of ISAC

AI Agents in Telecom Networks

Sep 9, 2025 : 11am - 12pm CDT (Dallas)

Sep 11, 2025 : 3pm - 4pm Sydney Time

Sep 11, 2025 : 2pm - 3pm UK Time (London)

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