Few enterprise data warehousing (EDW) professionals regard the key rival approach--data federation--to be a best practice. Usually, the reasons for this disdain are valid, such as the fact that ...

Formerly known as Secure AI Labs (SAIL), the company helps patient-focused organizations accelerate their research goals with technology that puts patient privacy first. CAMBRIDGE, MA / ACCESSWIRE / ...

There are a few key traits that successful federated data efforts — when a specific kind of data is collected across disparate organizations — tend to have in common. And The General Service ...

The General Services Administration is working to create a place where data providers can go to see if their data fits into a set of standards others might be already using. This new effort, the ...

The implementation of the controversial tech system for connecting trusts to a wide range of data will deliver almost £4 of ...

The NHS Federated Data Platform is a series of separate data platforms, that we call ‘instances’. Every hospital trust and ICB (on behalf of the ICS) will have their own instance of the NHS Federated ...

Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...

One of the key challenges of machine learning is the need for large amounts of data. Gathering training datasets for machine learning models poses privacy, security, and processing risks that ...

Sid Roy is Manager of Machine Learning Engineering at Devron. Sid Roy is Manager of Machine Learning Engineering at Devron, a federated machine learning platform dedicated to unlocking the innovation ...