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Inpher presents an Innovative solution for AML/CFT at the ACPR Banque de France TechSprint
- by Jordan Brandt

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
- by Ramnath Sai Sagar

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.

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Inpher presents an Innovative solution for AML/CFT at the ACPR Banque de France TechSprint
- by Jordan Brandt

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.

News
Inpher’s Research on Privacy-Preserving Machine Learning Published in Two Premier Conferences
- by Ramnath Sai Sagar

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.

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Inpher presents an Innovative solution for AML/CFT at the ACPR Banque de France TechSprint

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.

- by Jordan Brandt
Inpher’s Research on Privacy-Preserving Machine Learning Published in Two Premier Conferences

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.

- by Ramnath Sai Sagar
How DataCo is Reinventing Data Partnerships by Putting Privacy-Enhancing Technologies to Work

How DataCo is Reinventing Data Partnerships by Putting Privacy-Enhancing Technologies to Work

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- by Ramnath Sai Sagar