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

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

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 ...

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 ...