Live sports broadcasting is evolving from a single signal into an extensible, end-to-end system. Rather than delivering one fixed output, modern workflows are designed to support multiple experiences, platforms, and audiences simultaneously—each built on the same core infrastructure.

This panel explores how personalization and innovation are operationalized across that system. Panelists will examine AI-enabled design and data-driven production planning, alongside the realities of live broadcast execution under strict, real-time constraints where reliability and timing remain paramount.

The conversation also focuses on preserving signal integrity, synchronization, and metadata throughout the workflow. These foundations are critical to ensuring that downstream partners and platforms can safely extend live sports into immersive, venue-scale, and fan-specific experiences without compromising broadcast quality.

Through real-world examples, the panel will share architectural decisions, tradeoffs, and lessons learned from building systems that operate reliably at broadcast scale while remaining flexible enough to support experimentation, interactivity, and future-ready experiences beyond the traditional screen.