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...
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...
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,...
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...
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.
A philosophical concept from medieval logic has become the backbone of modern operational intelligence
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