Blog: Timeline Right Sidebar

Editor’s note: This article was originally published on Amazon Science Blog by Dr. Dimitar Jetchev, CTO of Inpher and Joan Feigenbaum, Amazon Scholar and the Grace Hopper Professor of Computer Science at Yale University  Machine learning (ML) is increasingly important in a wide range of applications, including market forecasting, service personalization, voice and facial recognition, autonomous…

This article was originally published on AWS blogs by Conor Moran, Sr. Director, Business Development, Inpher.

AWS users occasionally need to perform analysis on data sources containing private or sensitive inputs. Inpher’s XOR Secret Computing Platform, available in AWS Marketplace, enables data scientists to train and run machine learning models while maintaining data privacy and without trading utility. Data analysis and machine learning performed by XOR can improve model performance with mathematically guaranteed data privacy while ensuring the data never leaves the data source.

This article was originally published on AWS blogs by Conor Moran, Sr. Director, Business Development, Inpher.

AWS users occasionally need to perform analysis on data sources containing private or sensitive inputs. Inpher’s XOR Secret Computing Platform, available in AWS Marketplace, enables data scientists to train and run machine learning models while maintaining data privacy and without trading utility. Data analysis and machine learning performed by XOR can improve model performance with mathematically guaranteed data privacy while ensuring the data never leaves the data source.