Tech Meetup | "AI in Production: What's Actually Shipping in Media Workflows"
- Fecha
- 30 de julio de 2026 · 12:00
- Lugar
- Online
- Gente
- 59 anotados en Meetup
- Organiza
- MonteVIDEO Tech Meetup55 eventos · Activa · 1.226 miembros · ★ 4,9
- Organizaron
1 fotoVer todas las fotos de MonteVIDEO Tech Meetup
Foto: MonteVIDEO Tech Meetup · Meetup. Cada foto se ve desde donde está publicada y lleva a la original. ¿Aparecés en una y preferís que no esté? Pedí que la saquemos, o tocala y pedilo desde ahí.
Cómo lo anunciaron
Everyone's talking about AI in the media workflow — QoE optimization, multi-CDN decisioning, auto-cropping, clip and highlight generation. The demos look great. But the real question is: what's actually running in production? That's the focus of our next Tech Meetup (Thu, July 30): not the pitch decks, but the practice, where AI is genuinely deployed in live media operations and content workflows, what broke on the way there, and what still keeps a human in the loop.
Three talks. Three real projects. No pitch decks.
🔴 "Faster Answers Under Pressure: An AI Root-Cause Co-Pilot for Streaming Ops"
Nicolás Caballero @ Qualabs When quality drops, the dashboard turns red. Explaining why is the hard part — complex diagnostic work under pressure. We'll share how we put an LLM in that loop: how to trust it at 3am when it's confident and wrong, how to keep it cost-effective, and where AI actually earns its place versus where it's just overhead.
✂️ "Pass, Fail, or Ask a Human: AI Quality Control for Video at Scale"
Emil Santurio @ Qualabs Producing highlights at scale means every clip needs a quality check before it airs. Clean cuts. Right moment. On-brand. But here's the thing: quality isn't one thing. Some checks are mechanical rules. Some need you to actually look at the frame. Some are genuinely subjective and editorial. The real challenge isn't "use AI" — it's knowing which tool fits each check. Pick the wrong one and you either miss errors or burn cost and trust. We'll share the honest lessons from putting this into production: which checks we let code handle, which needed computer vision, which still need a human, and what we'd do differently.
🌍 "From Voice to Subtitle to Sign Language"
Alexander Leschinsky @ G&L Accessibility at scale isn't a feature — it's a workflow. Alexander is sharing how sign language (BSL, ASL, and now German Sign Language) is being integrated into professional live and on-demand encoding, subtitling, and delivery. Working with UK-based Signapse, putting sign language on equal footing with subtitles. The honest part: what works, what's harder than expected, and how it changes your infrastructure.
Know someone who'd enjoy these conversations? Share this post!