Databricks launches Qwen3-Embedding-0.6B, a state-of-the-art multilingual embedding model for building retrieval-powered AI agents on enterprise data.
This article provides a comprehensive overview of data science, covering its core skills, career roles, and education pathways.
This article explains the conceptual differences between artificial intelligence and machine learning, and outlines how each technology applies in the real world.
TetraScience's Tetra OS platform addresses biopharma's AI adoption gap by transforming heterogeneous lab data into production-ready AI applications built on Databricks and NVIDIA infrastructure.
This post shows how Databricks unifies siloed drilling data to deliver conversational AI analytics for oil and gas operations.
Delta Sharing now supports Attribute-Based Access Control (ABAC), allowing providers to share governed tables directly without creating separate copies per recipient.
This post walks through shipping enterprise-grade AI agents to business users using the Databricks Platform.
Databricks introduces Serverless JARs, enabling teams to run Scala and Java Spark jobs on fully managed serverless compute with instant startup and no cluster management.
GCI, Alaska's largest communications provider, details how its partnership with Databricks modernized data operations across a massive statewide network.
Apache Spark 4.1 introduces Real-Time Mode (RTM) for Structured Streaming, enabling millisecond-level latency without abandoning the microbatch architecture.
Azure Databricks Serverless Workspaces are now generally available on Azure, enabling teams to create fully managed workspaces without any infrastructure setup.
This article argues that AI governance is a strategic operational requirement, not just a compliance checkbox, for enterprises scaling AI systems.
