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

Explore how Veerendra Nath transforms healthcare data systems with federated architectures, enhancing patient outcomes and ...

AI is fundamentally dependent on data, but the vast majority of health data goes unused for understandable reasons — chiefly patient privacy, regulation, and IP protection. “This is the core ...

SAN FRANCISCO, April 3, 2025 /PRNewswire/ -- MindsDB, the leader in AI data integration, today announced comprehensive support for the Model Context Protocol (MCP) across both its open source and ...

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 ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This is second article in a two-part series on federated learning (FL).

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 ...

When it comes to technological innovation, a government agency is probably the last thing to cross your mind. After all, Harvard dropouts and Silicon Valley whiz kids are best known for blazing new ...

The post-genome era provides us with technologies for collecting vast amounts of molecular information from biological samples, clinical phenotype and collected lifestyle data of individuals. The goal ...