The biggest challenge with artificial intelligence and machine learning isn’t algorithms or even finding the right skill set. Without high quality, accurate data collected from real world sources, the best efforts for AI and ML fall flat. But collecting real data in sufficient quantities is often difficult. This is where synthetic data comes in. In this episode, we’ll explore synthetic data, how it is created and used, and, finally, some of the gaps using synthetic data to introduce AI and ML efforts.
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