Real-world data (RWD) sources are used across the world but are governed by their origin countries, which often have different legal frameworks than the nation they are used in. These conflicts over “data sovereignty,” as it is called, hold back research and development and create international issues of patient privacy. A potential path forward is the use of synthetic data, simulated data based on existing datasets.
According to Inside Big Data, “In reality, we do not need personal secrets to gain insights. And real data is full of personal secrets. The good news is that there is an alternative. Gartner predicts that most AI systems will use synthetic data by 2030. AI will therefore rely more on artificially generated data than on data gathered from real people or real events. This is already the case for autonomous driving, where simulated driving data are used more often than actually collected real driving data.”
To read more, click here.
(Source: Inside Big Data, September 29th, 2022)