Technical Bottlenecks and Behind-the-Scenes of AI Simultaneous Interpretation at the BCWW 2026 Main Conference

💡 [3-Line Summary]

- The BCWW 2026 main conference, where $100 million worth of business was discussed, was a large-scale offline environment where thousands of global broadcasting professionals focused on a single main screen.

- Broadcasting industry-specific terms such as 'SVOD', 'FAST', and 'IP Transmedia', along with the network traffic at the COEX site densely packed with thousands of devices, create technical bottlenecks that are difficult for existing video conferencing-based translation systems to handle.

- This article analyzes how Hudson AI, participating as the official translation partner for BCWW, controlled the acoustic and communication variables faced in large sessions and built a stable multilingual infrastructure.

In September 2026, BCWW 2026, Asia's largest content market, concluded successfully. Thousands of broadcasting professionals from around the world gathered at the main conference session, the core of the event, to discuss global trends and business directions.

For a large-scale session where thousands of audience members focus on a single screen, a delay of even 1 second or a mistranslation of a specialized term directly leads to a degradation of the entire session's reliability. Hudson AI, which participated as the official translation partner for this year's BCWW conference, adopted a customized architecture to control the physical and environmental variables inherent in large-scale offline sessions.

This article shares three technical challenges faced at the actual event site and the operational behind-the-scenes of resolving them.

🗣️ 01. Domain-Specific Terms: Overcoming Limitations in Processing Industry Jargon like 'SVOD' and 'Original IP'

Keynote speeches at content markets are primarily conducted using industry-specific business terms and K-drama proper nouns, such as "To prevent OTT subscriber churn rate, we must increase the programming of original IPs on FAST channels." If a general-purpose translation model trained mainly on daily conversations is used, there is a high risk of fatal contextual distortion.

To resolve this, Hudson AI went through a 'Custom Dictionary' building process prior to the session, which intensively trained the language model on speakers' presentation materials and the latest broadcasting trend terms. Through this, it was possible to render the proper nouns and specialized jargon occurring on-site into accurate business contexts.

📶 02. High-Density Traffic Environments: Controlling Network Bottlenecks in the COEX Grand Ballroom

When thousands of people are concentrated in a large space like the COEX Grand Ballroom, severe bottlenecks occur in the on-site network due to traffic generated by numerous devices. General captioning solutions that rely entirely on public cloud communication experience transmission delays or interruptions when the on-site bandwidth drops.

Hudson AI proactively established a 5G router redundancy and failover system on-site, setting network volatility as a basic constant in its architecture design. As a result, even in sections with extreme traffic bottlenecks, it maintained a stable live caption transmission environment without data packet loss.

⚡ 03. Real-Time Interaction: Minimizing Latency in Global Sessions

One of the crucial elements of a large-scale session is the immediate Q&A between the speaker and a multilingual audience. Existing interpretation methods that take several seconds from speech to translation, or web-based captions with long delays, cause a degradation of immersion and interaction on-site.

Hudson AI's speech recognition engine processed the speaker's speech into text with an ultra-low latency of 0.1 seconds. By lowering the latency to the physical limit, it provided a synchronized communication environment where foreign audiences could respond without a time gap through screen captions when Korean was spoken.

🚀 A Stable Infrastructure Makes Great Content Stand Out

In a successful global conference, the interpretation infrastructure has fulfilled its role best when it goes unnoticed. This is because only when there are no system transmission delays or errors can the audience fully concentrate on the speaker's 'content' and 'message' rather than the technology.

Multilingual support for global sessions gathering large audiences requires an infrastructure-perspective approach that controls the communication and acoustic variables of the physical space, going beyond the simple introduction of translation software. If you are planning an upcoming large-scale global event, please consider designing the most stable and systematic multilingual interpretation infrastructure with Hudson LIVE of Hudson AI, which has experience in operating large-scale conferences.