Goldman Sachs data chief says AI facing ‘training data shortage’: ‘I think the real interesting thing is going to be…’
The AI industry faces a critical shortage of high-quality training data, prompting increased reliance on synthetic data, warns Goldman Sachs' Neema Raphael. This shift risks overwhelming models with low-quality output, potentially shaping future AI systems. However, Raphael notes corporations possess vast untapped proprietary data, suggesting a significant resource for enterprise AI development despite the global data crunch.
The AI industry faces a critical shortage of high-quality training data, prompting increased reliance on synthetic data, warns Goldman Sachs' Neema Raphael. This shift risks overwhelming models with low-quality output, potentially shaping future AI systems. However, Raphael notes corporations possess vast untapped proprietary data, suggesting a significant resource for enterprise AI development despite the global data crunch.
