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
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...
Beyond data and language models, automotive AI needs a shared understanding of knowledge and EcoDrive TermSpace explores how ontologies can become the semantic foundation that makes enterprise AI more reliable, interoperable, and scalable.
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