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Blog
Nov 30, 2023 8 mins

Balancing Privacy and Explainable AI in Semiconductor Manufacturing

Given their ability to generate clear explanations while preserving accuracy, SHAP values have large potential to support Explainable AI. By bringing machine learning...

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Blog
Nov 29, 2023 6 mins

Inpher, Oracle & Sensitive Data Workloads: Generating Business Value from…

Customers rely on Oracle to manage their most sensitive data workloads. Inpher empowers organizations to generate value by operating collaboratively on the data found in...

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Blog
Nov 21, 2023 4 mins

Balancing Data, Privacy, and Business Learnings

For large retailers like Walmart, leveraging data strategically and in a privacy preserving way can produce powerful results and even more powerful actionable...

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Blog
Nov 20, 2023 7 mins

SHAP Values In Support of Forecasting

Given their ability to generate clear explanations while preserving accuracy, SHAP values have large potential to support Explainable AI. By bringing machine learning...

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Blog
Nov 14, 2023 7 mins

The Rise of Financial Fraud in the Digital Era and…

In a world of escalating financial fraud, Explainable AI has the potential to make powerful, ML-based fraud detection a realistic option that aligns with regulations, ethics,...

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Blog
Nov 9, 2023 6 mins

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...

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News
Nov 7, 2023 3 mins

Inpher Advances Roadmap In Support Of Government Privacy AI Mandates

Inpher announced the strategic advancements of their solution portfolio to align with President Biden’s Executive Order on the Secure and Trustworthy Development and Use of...

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News
Oct 17, 2023 3 mins

Bring Your Own Data With Inpher

Inpher launches enterprise-ready BYOD initiative for seamless secure data collaboration and AI project...

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Blog
Oct 16, 2023 11 mins

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...

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Blog
Oct 12, 2023 4 mins

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...

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Blog
Oct 2, 2023 9 mins

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...

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Blog
Sep 28, 2023 7 mins

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...

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Blog
Sep 26, 2023 4 mins

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...

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News
Sep 21, 2023 4 mins

Inpher-Oracle Cloud Marketplace Partnership Offers Privacy Preserving Ai/Ml Platform

Inpher privacy-enhancing computation platform accelerates secure data collaboration and Ai initiatives on Oracle Cloud...

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Blog
Sep 21, 2023 6 mins

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...

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