76 articles
Databricks introduces Genie Code, an AI agent built specifically for data teams to autonomously handle complex data workflows end-to-end.
Databricks announces the acquisition of Quotient AI, a platform specializing in evaluation and reinforcement learning for AI agents in production environments.
This post introduces Databricks Lakebase Autoscaling as a solution to the classic database provisioning paradox of over- vs.
This post explains how to integrate Vega-Lite visualizations into multi-agent systems using Databricks' Supervisor Agent and Unity Catalog Functions.
Kasal is a UI-first agentic AI platform built on CrewAI and Databricks that enables users of all skill levels to design, run, and observe multi-agent workflows visually.
This post explores the professional impact of earning Databricks Certifications for data and AI practitioners.
Databricks introduces a new Discover experience in Beta within Unity Catalog to unify data discovery across all data and AI assets.
Azure Databricks Lakebase is now generally available as a managed, serverless Postgres database optimized for the Databricks Platform on Azure.
This tutorial demonstrates how to manage Databricks AI/BI dashboards safely using Databricks Asset Bundles (DABs), Git, and CI/CD workflows.
TabPFN, by Prior Labs, applies the pre-trained LLM paradigm to tabular data, removing the need for traditional ML preprocessing and per-task training.
Spark Declarative Pipelines (SDP) extends declarative data processing from individual queries to entire pipelines in Apache Spark, reducing operational burden for data engineering teams.
Databricks Genie now supports enterprise OAuth to embed natural-language data analytics into Microsoft Teams and custom web apps.
This post covers Databricks' Predictive Optimization (PO) in Unity Catalog, which became the default platform behavior in 2025 for autonomous lakehouse table maintenance.
Spotify explains why they maintain separate tech stacks for personalization and experimentation rather than combining them into one system.
Spotify shares how they designed reliable background coding agents ("Honk") using strong verification loops to minimize incorrect or broken pull requests at scale.
Spotify shares lessons from building a background coding agent ("Honk") that automates large-scale code migrations by generating mergeable pull requests across thousands of repositories.
Spotify