Abstract: Privacy-preserving collaborative data analysis is a popular research direction in recent years. Among all such analysis tasks, privacy-preserving SQL ...

SAN FRANCISCO – Opsera, the leader in Agentic DevOps, today announced the launch of Opsera AI Agents for DevSecOps, a suite of intelligent, purpose-built agents designed to help enterprises transition ...

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

Overview: Modern organizations rely on integrated data platforms to process massive datasets and generate real-time ...

SourceFuse partners with Databricks to help enterprises modernize data platforms, unlock AI & GenAI capabilities, ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that ...

Abstract: The Text-to-SQL task has significant application prospects in automating relational database query interfaces. It can reduce user learning costs and improve data query efficiency. However, ...

Databricks provides tables designed for massive scale, enabling efficient storage and querying of tens of billions of triples with features like time travel No ETL or migration needed—just query your ...

Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...

AI-generated “slop” has overtaken YouTube, accounting for more than 20% of videos recommended to new users and generating an estimated $117 million in annual revenue from over 63 billion views.

Most of the health advice summarized in Google’s AI Overviews relies on non-medical sources, a new analysis shows. This follows fresh concerns about users receiving misleading or unsafe guidance on ...