Post Archives - Page 2 of 8 - Duality Technologies

April 2nd, 2023 by Zohar Duchin, Marcelo Blatt, and Yuriy Polyakov

Posted in Post

Collaborative Privacy-Preserving Analysis of Oncological Data

FDA Commissioner Robert M. Califf in his remarks to the 2022 NORD Breakthrough Summit, emphasized the importance of Real World Data and Real World Evidence in clinical research and the need to collaborate, especially in the areas of rare diseases and oncology. Real World Data is patient centric and collected from organizations administering care to...

March 28th, 2023 by Phoebe Spanier

Posted in Post

Data Clean Rooms: Advantages and Disadvantages

Data clean rooms are increasingly becoming a necessity for companies that are doing a lot of data-driven work – but they come with their own sets of advantages and disadvantages. Firms that share their own first-party data with other parties, such as outsourcing partners and research institutions, can use data clean rooms to ensure that...

March 21st, 2023 by Phoebe Spanier

Posted in Post

What is a Data Clean Room? What DCRs Can (and Can’t) Do

Data collaboration between organizations has become both transformative and necessary. On one hand, it unlocks opportunities for innovation, allowing businesses, governments, and industries to solve complex problems, deliver better services, and generate new revenue streams. On the other hand, it’s quickly becoming a necessity for companies that want to offer more personalized experiences and make...

March 13th, 2023 by Emory Walsh

Posted in Post

Intel, Duality, and Security in Life Sciences

Data Vulnerabilities and the Need for Data Security In the life sciences field, enormous amounts of essential data exist, often containing sensitive information. This data could encompass anything from patient clinical records and genomics to clinical trial recruitment and AI model/analytics. These types of information are very attractive to cyber threats, and the consequences of...

February 22nd, 2023 by Omer Moran

Posted in Post

Secure Federated Learning: Protecting the Data and the Model

Introduction to Secure Federated Learning Federated Learning (FL) is a distributed machine learning (ML) technique that enables model training on data from multiple, decentralized servers with local data samples, without exchanging or moving data. This approach ensures that the data remains in its original location and is not exposed to any other parties. Another characteristic...

February 21st, 2023 by Kurt Rohloff

Posted in Post

Interview of Adm. Mike Rogers, USN (ret): Privacy Technologies, Data Protections, Government and the Private Sector

Data and data protections are critically important for governments and the private sectors alike – but their roles in enforcing data protection can be very different. To explore further, our CTO, Dr. Kurt Rohloff, spoke to ADM Michael Rogers, USN (ret.), former commander of the United States Cyber Command (USCYBERCOM), director of the National Security...

February 15th, 2023 by Adi Hirschstein

Posted in Post

Data Anonymization Techniques: Pros and Cons

Data analysis is a central part of business operations today as it helps organizations save cost and generate new revenue, in many cases by gaining insight into customer preferences and maximizing returns by customizing their offerings. However, some of the data that is held by businesses is sensitive with potential to compromise user privacy and...

February 14th, 2023 by Adi Hirschstein

Posted in Post

Genomic Data Sharing: The Potentials of a Privacy-Preserving Approach

Genomic data sharing and linking is critical for treating rare diseases, tracking patient history, and optimizing patient care across a decentralized healthcare system. Unfortunately, healthcare institutions remain slow to adopt newer genomic data analysis solutions due to privacy and security concerns. This is further compounded by the sensitivity of healthcare data and the need to...

February 9th, 2023 by Marcella Arthur

Posted in Post

Killer Claims: A New Paradigm in Insurance Fraud Solutions

Insurance fraud occurs when someone knowingly lies to obtain a benefit or advantage to which they are not otherwise entitled. The impact of insurance fraud affects us all – our economy, our wallets, and our ability to compete for better insurance types and sources. Simply put: when they lose, we lose. So, what is keeping...

January 27th, 2023 by Adi Hirschstein

Posted in Post

Building a Privacy Enabled Data Collaboration Strategy

The Importance of Creating a Data Collaboration Strategy Data is an organization’s most precious resource. It’s used in countless numbers of ways, from making product decisions to understanding customer needs. Yet, data remains largely underutilized, often restricted by privacy concerns. A major conflict remains between gaining utility from a data set and protecting the privacy...

Platform Overview

Platform Overview

Duality Query

Duality AI

Duality Assistant Agent

Technology

Technology

Open Source

Glossary

Government

Government Overview

Zero Footprint Investigations & Intelligence

Cross Domain Zero Footprint Investigations & Intelligence

Cross Departments Analytics

Healthcare

Healthcare Overview

GWAS

Oncology Research

Real World Evidence

Cross Border Health Analytics

Financial Institutions

Financial Services Overview

Fraud Prevention

Risk Scoring

Anti-Money Laundering

Trade Financing

KYC Compliance

Trial AI Models

Marketing

Marketing Overview

Targeted Offers

Data Service Providers

Data Service Provider Overview

Trial AI Models

Data Monetization

Customize GenAI Models

Manufacturing

Manufacturing Overview

Predictive Maintenance

Supply Chain Management

Insurance

Insurance Overview

Underwriting & Pricing

AI Implementation

Cross Border Insurance Operations

Claims Processing

Regulatory Reinsurance and Reporting

Duality Collaboration Hub

AWS

Google

Azure

Deloitte

Carahsoft

Blackwood

Oracle

Intel

IBM

DARPA

LSEG

NVIDIA

Blog

Resource Hub

Videos

Documentation

About Duality

Leadership

Events

Careers

News

Contact Us