Databricks now offers native access to OpenAI’s GPT-5, enabling enterprises to build secure, domain-specific AI agents directly on their data. Combined with Agent Bricks, vector search, and unified ...

Automation in Databricks is transforming how data teams build, deploy, and maintain pipelines. From CI/CD best practices to AI-driven orchestration, modern tools are cutting manual work and boosting ...

Kumo, a leader in predictive AI, today announced its launch of KumoRFM-2, the first foundation model to outperform fully supervised machine learning on enterprise relational data. Built by the team ...

According to God of Prompt on Twitter, citing a Google AI experiment, standard fine-tuning of Gemini 2.5 Flash on a text-to-SQL dataset reduced performance on the hardest queries, indicating reasoning ...

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 ...

Databricks announced the Databricks Lakebase is now generally available on AWS—introducing a new class of operational database that treats infrastructure as a flexible, on-demand service. According to ...

Abstract: Nowadays, businesses generate large volumes of data that must be stored in a reliable database. Among the available options, relational database management systems (RDBMS) are widely adopted ...

Microsoft is setting about improving the PC gaming experience with renewed vigor. In a blog post published this week, the brand said it will spend the new year focusing on enhancing the features that ...

Abstract: This article presents a comprehensive analysis and application of the phase tuning (PT) technique to enhance the performance of an E-band sheet beam (SB) folded waveguide (FWG) traveling ...