Privacy-Preserving Model Explainability: What It Is & How Data Influences…
Explainable AI can help organizations align with ethical and regulatory imperatives in order to unleash the potential of their data, including private...
Governance and Privacy-Enhancing Technologies: Why Every Enterprise Needs to Adopt…
Privacy-Enhancing Technologies (PETs) represent a revolutionary capability that facilitates a delicate equilibrium between privacy and utility within information...
AI, Data and the Privacy Gap: Institutionalizing Governance within the…
AI systems have an insatiable appetite for data. Rapid advancements mean they are now capable of massive ingestion and use of almost all publicly available data–so...
Moore4Medical Accelerates Patient Monitoring for Improved Outcomes with Inpher
Moore4Medical is a European project led by Philips, comprised of a total of 65 partners, including universities, research institutes, hospitals, and private...
Privacy Budget in Support of Privacy by Design
As of late the concept of privacy by design has been formalized in data protection laws globally. Having evolved as a way to consider the broader systems and processes in...
The Seven Foundational Principles of Privacy by Design
First introduced in 1995, privacy by design evolved alongside privacy-enhancing technologies (PETs) and is intended to address the broader systems and processes in which PETs...
Privacy Budget: A Roadmap to Privacy Preserving Data Collaboration
In the world of data collaboration, it is generally understood that when two or more parties share training data for their AI models, they achieve more accurate predictions...
Privacy Budget and the Data-Driven Enterprise
Recent developments in machine learning and artificial intelligence have highlighted the benefits data exploration can bring to organizations across industries....
Empowering Women Leaders: The Impact of Women in High-Tech
As a junior professional, venturing into the high-tech space has been a truly unique and eye-opening journey filled with brilliant encounters....
A Winning Go-to-Market Starts with Unification: From CMO to CRO
In today's hyper-competitive business landscape, the success of a company heavily relies on the seamless integration and alignment of various functions and in my case,...
XOR Hybrid Private Computing in Microsoft Azure
With expanding privacy regulations, data transfer restrictions and sophisticated cyber attacks on the rise, organizations face unprecedented challenges to store, process and...
How DataCo is Reinventing Data Partnerships by Putting Privacy-Enhancing Technologies…
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....
Flying Fuzzy: A Privacy Preserved No-Fly List for Global Airlines…
Since 2020, airlines have been dealing with a rash of irate, disruptive, and violent passengers, resulting in many of those travelers being banned from their future flights....
Neuroimaging Based Diagnosis of Alzheimer’s Disease Using Privacy-Preserving Machine Learning…
This second of the three-part blog series describes two privacy-preserving machine learning models (linear and logistic regression) for detecting Alzheimer's disease. The...
Neuroimaging Based Diagnosis of Alzheimer’s Disease Using Privacy-Preserving Machine Learning…
In this first of a three-part blog series, we present a viable solution designed by clinical researchers at CHUV and Inpher aiming to build privacy-preserving...