Live Streaming: What Breaks at Scale
A live stream that works for a hundred viewers can fail badly at a hundred thousand. The failure modes are predictable, and mostly preventable.
AI & Technology
Machine learning applied to video, in practice.
Where AI Actually Helps Video Teams (and Where It Doesn't)
A practical split: the video tasks machine learning genuinely improves, and the ones where it reliably produces work nobody wants.
Metadata Is Not Enough: What Video Analysis Adds
Most video recommendation still runs on titles, tags and dates — a thin description of a video, and a hard ceiling on discovery.
Real-Time Highlights: Cutting Clips While the Broadcast Is Still Running
A live clip is worth most in the minutes right after it happens — a window far shorter than manual editing takes. What real-time packaging requires.
Automating Video Production: What to Hand Over First
Not every video task is worth automating, and the order matters. A practical sequence for deciding what to hand over first.
How AI Actually Changed Online Video
Machine learning moved from the edge of video production to its centre. A look at what genuinely changed — and what was oversold.
How Video Personalisation Actually Works
Personalisation gets described as magic and built as a ranking problem. What these systems actually do, and how they reliably fail.