Synthetic data's growing role in healthcare AI, machine learning and robotics

Today there is a bottleneck in the development of artificial intelligence and machine learning – real-world data collection. AI and machine learning models require large datasets to become proficient at a task. But preparing these datasets for model training is both costly and labor intensive. It is a conundrum, and the lack of large, accurately labeled datasets for specific applications is holding back the development of artificial intelligence and machine learning. Some say synthetic data offers a solution – data that imitates real-world data.