Training data: The key to successful AI models
Training data: The key to successful AI models
AI performance relies on high-volume, diverse, and reliable data, yet demand is outpacing the supply of usable information. This scarcity threatens to bottleneck model development, reducing accuracy and slowing innovation across critical sectors dependent on artificial intelligence. This constraint is highly relevant to open data because shared, high-quality datasets are essential to bridge the gap between insatiable AI needs and available resources. Expanding open data initiatives can help mitigate supply shortages, ensuring models remain accurate and inclusive.
Source: cio.comPublished on 2025-05-09