As coding agent adoption explodes across enterprises, standardizing configurations and controlling costs has become a real challenge.
ucode is a lightweight launcher that connects Claude Code, Gemini CLI, GitHub Copilot, and others directly to Databricks Unity AI Gateway - turning chaos into a single, governed entry point.
Databricks launched AI Spend Controls in Unity AI Gateway, adding proactive budget alerts that let organizations set AI cost limits at the per-user, per-use-case, per-workspace, and per-account levels. The goal is to prevent runaway AI costs - like agents stuck in retry loops or accidental overnight experiments - before they show up on the bill. All spend is logged to Unity Catalog system tables for detailed analysis by user, model, provider, and team.
Databricks is rolling out GPT-5.5 for enterprise agent workflows. The model set a new record on Databricks' own benchmark (OfficeQA Pro), which tests AI on messy real-world document tasks like scanned PDFs and long files — cutting errors by 46% vs. GPT-5.4 and becoming the first model to break 50% accuracy on the benchmark.
Your CRM data is a mess. Everyone knows it. Most AI tools pretend it isn't.
Databricks took a different approach with PipelineIQ - instead of building yet another forecasting model that assumes clean data (spoiler: it never is), they built a prescriptive action engine that works with the chaos.
The result? Every deal in the pipeline gets one of three verdicts:
🚶 Walk - disengage, this isn't worth your time
🔄 Pivot - viable deal, wrong approach
🚀 Accelerate - conditions are right, lean in now
No vague "insights." No dashboards that require a PhD to interpret. Just: here's what to do today.
Built on Databricks' own stack (Foundation Model APIs, Delta Lake, Unity Catalog) and used internally by their own sales org - this is a rare "we built it for ourselves first" story.
Read the full blog here: https://www.databricks.com/blog/pipelineiq-forward-looking-sales-intelligence-drives-action
With Catalog Commits, catalogs become the system of coordination for Delta tables, brokering table discovery, access, and state across engines.
Databricks to invest US$300 million in ANZ over the next three years.
The plan is to open a new ANZ headquarters, grow Lakebase and Genie adoption, and upskill 100,000 people in data and AI.
>Stripe data is now available on the Databricks Marketplace - unlocking significant new value for customers. Check this out
Hot off the press today: Databricks and Google Cloud announced that customers can now access the same copy of data from either Unity Catalog or BigQuery without duplication.
Learn more about the announcement here: https://www.databricks.com/blog/interoperability-between-unity-catalog-and-google-bigquery-catalog-federation
TLDR:
The next generation of Databricks Genie is here - check this blog out for more details: https://www.databricks.com/blog/next-generation-databricks-genie
