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AI training data management is the discipline of controlling training datasets across their full lifecycle: ingestion, versioning, lineage...

AI dataset generation services now use diffusion models to synthesize images and video, and large language models (LLMs)...

Kevin Sahotsky Here’s a pattern I’ve started seeing in boardrooms: the board asks management whether the company has...

Publishing houses are sitting on one of the most undervalued asset classes in the content economy: the backlist....

Multimodal dataset creation fails at the seams between modalities more often than inside them. Labels can be individually...

A generative AI data pipeline is the connected set of systems that source, filter, annotate, version, and route...

Udit Khanna Collecting egocentric video for robot manipulation is now a largely solved problem. Consumer hardware, established capture...

Legal work is document work. A litigation team preparing for trial reviews thousands of discovery documents. A corporate...

AI data curation is the active, ongoing practice of deciding what belongs in a training dataset, in what...

AI data preparation services convert raw, inconsistent source data into training-ready datasets through seven stages: raw intake, deduplication,...

The gap between what government archives hold and what citizens, researchers, journalists, and government agencies themselves can actually...

Kevin Sahotsky Bias in AI models is overwhelmingly a data problem before it is a model problem. The...