Keynote Speech: From Cloud Meetings to Meeting Engines: New Infrastructure for the AI-Driven Smart Workplace

Over the past decade, enterprises have moved from hardware-centric conference rooms to cloud meetings and hybrid work. Yet most meeting platforms are still treated as standalone communication tools: they connect people, but not systems. AI meeting summaries usually end as an email in someone’s inbox, rather than driving decisions, workflows or business records. At the same time, organizations must juggle multiple vendors, strict data-sovereignty requirements, and the need to deliver a consistent experience to users across regions and networks.   

In this keynote session, we introduce Shengwang’s concept of a Meeting Engine — a new layer of infrastructure that sits between RTC PaaS and business applications. On one side, a shared meeting core and media strategy ensure deterministic quality under real-world constraints: audio is always protected first, content sharing remains readable, and video dynamically adapts to bandwidth and device layouts. On the other side, transcription, minutes, decisions and action items are modeled as composable AI capability nodes, so meetings can not only pull in data from CRM, ERP or monitoring systems, but also write back structured outcomes into those systems, turning each meeting into an intelligent node in the enterprise workflow instead of yet another siloed app.

Using concrete scenarios such as sales forecast meetings integrated with CRM and operations/command sessions tied to monitoring platforms, we will show how enterprises and ISVs can use a Meeting Engine to power their own branded conferencing and command solutions—building smarter, AI-ready workplaces on top of flexible RTC infrastructure.