Standard 3 Column
How DataCo is Reinventing Data Partnerships by Putting Privacy-Enhancing Technologies to Work
Think of all the great customer…
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
Author: Conor Moran (Senior Director Business…
How DataCo is Reinventing Data Partnerships by Putting Privacy-Enhancing Technologies to Work
[spb_text_block animation=”none” animation_delay=”0″ simplified_controls=”yes” custom_css_percentage=”no” padding_vertical=”0″ padding_horizontal=”0″ margin_vertical=”0″ custom_css=”margin-top: 0px;margin-bottom: 0px;” border_size=”0″ border_styling_global=”default” width=”1/1″…
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
[spb_text_block animation=”none” animation_delay=”0″ simplified_controls=”yes” custom_css_percentage=”no” padding_vertical=”0″ padding_horizontal=”0″ margin_vertical=”0″ custom_css=”margin-top: 0px;margin-bottom: 0px;” border_size=”0″ border_styling_global=”default” width=”1/1″…
Standard Vertical
How DataCo is Reinventing Data Partnerships by Putting Privacy-Enhancing Technologies to Work
[spb_text_block animation=”none” animation_delay=”0″ simplified_controls=”yes” custom_css_percentage=”no” padding_vertical=”0″ padding_horizontal=”0″ margin_vertical=”0″ custom_css=”margin-top: 0px;margin-bottom: 0px;” border_size=”0″ border_styling_global=”default” width=”1/1″…
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.
Post List
How DataCo is Reinventing Data Partnerships by Putting Privacy-Enhancing Technologies to Work
[spb_text_block animation=”none” animation_delay=”0″ simplified_controls=”yes” custom_css_percentage=”no” padding_vertical=”0″…
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.
