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Blog
Feb 20, 2024 5 mins

Unlocking Privacy-Preserving AI: Transforming Auto Insurance Fraud Detection

In this post, we discuss how data collaboration and privacy-preserving AI can enhance auto insurance fraud...

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Blog
Feb 13, 2024 6 mins

Insurance Fraud Detection: The Role of AI and Data Collaboration

In this post, we will discuss how new technologies can help in the fight against insurance fraud, and why data – and data privacy – are at the heart of these efforts....

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Blog
Feb 6, 2024 6 mins

GenAI in DevOps Community – The Privacy Utility Trade-off for…

In this blog post, we will explore the growing trend of how coders are leveraging GenAI, examine key usage statistics, and identify the coder communities at the forefront of...

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Blog
Jan 31, 2024 6 mins

Advancing Risk Mitigation for Hedge Funds While Unlocking Investment Power…

Accessing, sharing, and serving key learnings from datasets enables hedge funds to increase their productivity, predictability, and overall customer...

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Blog
Jan 23, 2024 7 mins

Break Down Data Silos with Cryptographic Security Using Inpher on…

Inpher’s integration with Oracle Cloud represents a significant advancement in secure and private cloud computing. This collaboration enhances data security, making it an...

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Blog
Jan 22, 2024 4 mins

The Privacy-Utility Trade Off with Generative AI

Security technology must keep pace with the development of LLMs. A way out of the privacy-utility trade off is to secure users’...

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Blog
Dec 19, 2023 6 mins

Business AI Preparedness- The Race to Leverage Secure AI

Businesses do not have to throw caution (and security and privacy) to the wind in their hurry to start benefiting from...

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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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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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