The next phase of enterprise AI will be decided less by access to generic models and more by who controls the data, the cost, the deployment and the judgment behind them. In a recent LT-Innovate conversation with its Vice Chairman Bruno Herrmann,...

Europe’s AI problem is also a problem of meaning.

Data spaces cannot create value if the organizations sharing data do not share the same language. AI models cannot reason reliably over specialized domains if the concepts behind the words remain...

A translation can be accurate and still fail the job.

That is the uncomfortable reality behind the next phase of Machine Translation Quality Estimation, or MTQE. A sentence can preserve meaning, read fluently, and obtain a respectable quality score...