Seamless access for data analysis across heterogeneous data sources represents ‘the holy grail’ within mainstream enterprises. Designed for Big Data processing and performance at scale, Cirro is a ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...

Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape.

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 ...

Managed Objects on Tuesday will weigh in on the configuration-management database issue when it launches its first Business Service Configuration Management offering. In the debate over whether a ...

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 ...

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 ...

Get the latest federal technology news delivered to your inbox. Agencies across the government, including in the White House, are planning for, procuring, building, or attempting to scale impact and ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

The ability to use data in place is a great solution for using heterogeneous data in the cloud. But it's easy to create performance and security flaws when you do so It’s often the first problem you ...