TECHWORM | 5 Startups that Drive AI Development with Synthetic Data
The idea of synthetic data is nothing new. It can be traced back to the 1930s as used in audio and voice synthesis. However, it is gaining prominence as it is utilized in big data analysis and artificial intelligence training in light of growing bias and privacy issues.
A 2018 Gartner study projected that 85 percent of algorithms will be erroneous because of bias. On the other hand, big data appears to have become a big business for lawyers, but it is becoming a serious concern for consumers or ordinary people.