Empowering Women: Advocating for Equality Beyond International Women’s Day
On this International Women's Day, let's reflect on our past experiences and share our stories. Let's advocate for change, fostering an environment where women can speak...
Inpher XOR DataFrame API – Advancing Privacy-Preserving Cryptographic Workflows
XOR DataFrame API is a new way for data analysts to select input datasets, chain operations, and run them on the XOR Platform. This new API offers a leaner interface that is...
Hedging your PETs – Hedge Fund Market Optimization via Privacy…
In the evolving landscape of hedge funds, leveraging data with AI must go hand-in-hand with prioritizing security and privacy....
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...
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....
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...
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...
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...
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’...
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...
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...
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...
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...
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...
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,...