An Arabic AI system is not ready for production simply because it performs well in Modern Standard Arabic. Enterprise evaluation must reflect the dialects, registers, domains,...
Oman has moved from policy statements to institutional infrastructure. The creation of an Artificial Intelligence Special Zone in Muscat gives the country a concrete uvehicle for attracting technology companies, localizing advanced capabilities and...
LREC 2026 | MULTILINGUAL AI, LANGUAGE RESOURCES AND EVALUATION
Enterprise AI is no longer bought on annotation volume. It's bought on evaluation capability. The same pattern shows up in many enterprise AI projects: the training data is annotated, the volume looks sufficient, and the benchmark scores are good....
Multilingual AI data quality is the degree to which training, grounding, evaluation, and alignment datasets represent the linguistic, cultural, and operational characteristics of every language an AI system is expected to use. Multilingual...
AI DATA OPERATIONS · MODEL EVALUATION · HUMAN ALIGNMENT
Manuel Herranz will take part in VSCF 2026 with a presentation on sovereign AI, ontologies, small models and the data supply chain behind the generative economy.
Reliable AI is built after the model has been selected. The decisive work begins when an organization defines the behavior it expects, creates data that demonstrates that behavior, tests the model under realistic pressure and converts each...
RESEARCH AND INNOVATION
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,...
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