Content can pass every quality check and still fall flat in a new market. That gap shows up differently depending on your role: for localization leaders, it's content that passes every linguistic check but still doesn't land with the audience; for marketing, it's campaigns that read perfectly but don't convert; for product teams, it's content that works in one market but breaks down the moment you try to scale it to the next ten. Closing that gap means building the infrastructure to predict how content will land, and never losing sight of the person on the other end of it.
In this fireside chat, Agustín Da Fieno Delucchi, Global AI and Localization Strategy Leader, and Sophie Solomon, Corporate Strategic Advisor, join Smartling VP of AI Olga Beregovaya to talk about what it actually takes to be both AI-powered and genuinely human, so content doesn't just read well, it performs well too.
Vad vi kommer att täcka:
-
- How to build the context infrastructure that lets you predict performance before content ships
- Why content that's technically flawless can still fail to earn trust, and what actually makes people act
- What Direct Global Content (Direct GC) is, and why early adopters are piloting it
- Why expert human judgment isn't going away, just shifting to higher-leverage work
- Where AI content strategy is headed next, based on decades building global content systems
- How to build the context infrastructure that lets you predict performance before content ships
