DATA Foundation was recently announced with the objective of addressing the lack of availability of AI training data. As the demand for model training continues to rise, data acquisition, collation and distribution has become a key link in the AI industry chain.
Focus training data supply
The Foundation is located around training data as a basic resource. External reports indicate that their concerns include data availability, data quality and data flow efficiency.
The bottlenecks facing the AI industry
Training data are insufficient and are influencing the development and iterative speed of models. For AI, data sources, compliance use and cost control are inextricably linked.
Improved industrial infrastructure attributes
The emergence of such institutions suggests that AI competition is extending from the model itself to the infrastructure level of data, computing and distribution. The organizational capacity for training data is becoming part of industrial competition.