Synthetic Data: A Double-Edged Sword for the Future of AI
The rapid growth of artificial intelligence (AI) has created an immense demand for data. Traditionally, organizations have relied on real-world data—such as images, text, and audio—to train AI models. This approach has driven significant advancements in areas like natural language processing, computer vision, and predictive analytics. However, as the availability of real-world data reaches its…