Inpher presents an Innovative solution for AML/CFT at the ACPR Banque de France TechSprint
-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.
Inpher’s Research on Privacy-Preserving Machine Learning Published in Two Premier Conferences
-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.
How DataCo is Reinventing Data Partnerships by Putting Privacy-Enhancing Technologies to Work
-Think of all the great customer experiences you have ever had! Those unexpected business class upgrades or Netflix “on-the-house” as a part of your cell phone plans. What’s behind them all? Seamless customer intelligence. Companies today want…
Inpher Announces Strategic Partnership with In-Q-Tel
-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.
Flying Fuzzy: A Privacy Preserved No-Fly List for Global Airlines Using Fuzzy String Matching
-Introduction As of February 22nd, the Federal Aviation Administration has reported that…
