#Huawei #Vienna #Austria #AI Era #Network Value

Introduction

The rapidly evolving landscape of artificial intelligence (AI) is prompting significant transformations across multiple industries, particularly in telecommunications. Recently, the World Broadband Association (WBBA) hosted the Broadband Development Congress (BDC) in Vienna, where key insights were shared regarding the future of network value in the AI era. Bob Chen, President of Huawei’s Optical Business Product Line, delivered a compelling keynote speech titled "Reshaping Network Value for New Growth in the AI Era".

The Necessity of Change

Chen emphasized that looking back over the past three decades, every growth phase in the services sector, from voice services to internet and video services, heavily relied on robust networks. As AI technology surges forward with AI models amassing almost 10 trillion parameters, the demands for network connectivity, frequency, and quality have undergone radical changes. Thus, the essential question arises: how can we reshape network value to meet these new demands?

The Three "R" Approach

Central to Chen's argument were the three "R's": Rebuilding, Reshaping, and Redefining network operability and maintenance. He pointed out that the transformation of network value hinges on adopting a new philosophy of network planning and development that aligns with the specific needs of AI services.

1. Rebuilding Network Architecture
Traditional networks, often structured around administrative regions, must evolve. Chen advocated for a shift to AI Data Center (AIDC)-focused networks. The explosion of AI-driven data traffic means that the network's core infrastructure must pivot from population-centered architectures to those designed around AIDCs. For instance, the city of Zhongwei in China illustrates this paradigm shift, evolving from a mere 0.1% share of national traffic to becoming a central hub in China's data network, contributing over 10% of national bandwidth.

2. Reshaping Business Models
Businesses need to adapt their service offerings in light of modern AI demands. Chen highlighted a notable Chinese industrial design firm leveraging AI for real-time rendering, which necessitates latency below 2 milliseconds. To serve such advanced requirements effectively, network providers must move beyond simple bandwidth provision to offer comprehensive services encompassing "bandwidth + latency + reliability". Moreover, integrating computational capabilities into network planning will be pivotal.

3. Redefining Network Operations and Maintenance
In the AI era, networks require continuous operation intelligence that encompasses planning, deployment, maintenance, and optimization. For example, most home network issues stem from Wi-Fi problems. Today, AI-based Wi-Fi optimization can dynamically adjust settings to counteract interference, improving speeds by approximately 20%. Additionally, intelligent traffic analysis allows for dynamic power management, resulting in a significant reduction in energy consumption by over 20%.

Conclusion

Integrating the three "R's" isn't merely an operational change; it is a necessary evolution in philosophy required to thrive in the AI-driven future. As Bob Chen succinctly stated, "With these three 'R's, we aspire to redefine the value of ultra-broadband networks and pursue new growth together in the AI era." This forward-thinking approach will pave the way for a new chapter in the telecommunications industry, aligning network capabilities with the unprecedented demands driven by AI advancements. As stakeholders engage in this transformation, the focus will increasingly shift towards creating intelligent, integrated, and efficient network ecosystems that empower both businesses and consumers alike.