XAIN Puts AI Privacy First, at No Cost to Efficiency, with its Distributed AI Solution - insideBIGDATA

XAIN, the AI startup that specializes in privacy-oriented Federated Machine Learning (FedML), is developing an infrastructure to train artificial intelligence applications through FedML technology, a mechanism that emphasizes data privacy. XAIN's distributed approach to machine learning, which intends to comply with the European Commission's General Data Protection Regulations (GDPR), also provides greater efficiency in the way data is trained, marking a major breakthrough in a field otherwise burdened by costly and onerous processes. When you download facial recognition software onto your phone, your data is usually stored on the central database of the app providing the service. FaceApp, for instance, infuriated the public recently for storing data centrally, though they're far from the first AI-based app to lack privacy protection measures. Data aggregation is essential for AI technology to work -- the question is how to preserve privacy throughout the process.