Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

Mohammad Omar is cofounder and CEO at LXT, an emerging leader in global AI training data that powers intelligent technology. I believe that artificial intelligence (AI) is one of our most important ...

As the internet has grown to be an integral part of society, so too have the needs of citizens, companies, and governments to consider how and where data is stored and who has access to it. Whether ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Data localization, the mandate that data of a country’s citizens be stored within the borders of that country, is a thorny issue dividing policymakers across the globe. In the global policy arena, ...

Accurate localization of pathologies in medical images is crucial for precise diagnosis and effective treatment. Existing deep learning models for defining pathology from clinical imaging data rely ...

2019 saw a major global tussle come into view over the regulation of cross-border data transfers, with a number of emerging economies taking measures to exercise greater sovereign control over their ...