Databricks, Friday, September 11th, 2026
Unify Your Marketing Data With Lakeflow Connect
The first in a series on using Lakeflow Connect to consolidate fragmented marketing data sources.
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Vol 342 · Issue 2
Databricks — Archive · Vol 342 Issue 2
11 articles that week
Databricks, Friday, September 11th, 2026
Health Plans: Your BI Tells You MLR Moved. Can Your AI Tell You Why?
Moving health plan analytics from reporting that a medical loss ratio changed to explaining what drove it.
more → Databricks, Thursday, September 10th, 2026
Improving Lakebase Postgres Compute Cache
Engineering detail on caching improvements in the disaggregated storage model behind Lakebase Postgres.
more → Databricks, Thursday, September 10th, 2026
Unifying Governance Across Engines and Catalogs in the Open Lakehouse
How open table formats and open APIs support one governance model across multiple query engines and catalogs.
more → InfoWorld, Wednesday, September 9th, 2026
Databricks Unveils Adaptive AI Retrieval Model to Cut Search Costs and Latency
Databricks' Adaptive Instructed-Retriever adds search steps only for complex queries to balance answer quality, latency, and cost.
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Databricks, Wednesday, September 9th, 2026
Introducing Consort: Test-Driven Development on a Branching Database
Bringing TDD practice to data work by branching the database the way developers branch code.
more → Databricks, Wednesday, September 9th, 2026
Evaluation-First AI Agents: How Zepto Scales Customer Support on Databricks and MLflow
Zepto built evaluation before deployment, using MLflow to keep support agents reliable as they scaled.
more → Databricks, Wednesday, September 9th, 2026
Beyond Embedding: How to Secure AI/BI Dashboards for Every Viewer
Embedding a dashboard is easy; enforcing per-viewer data access in a customer-facing application is not.
more → Databricks, Wednesday, September 9th, 2026
A Practical Approach to End-to-End Solvency II Reporting in Databricks
Treating Solvency II as a business process with lineage and auditability rather than a periodic submission.
more → Databricks, Wednesday, September 9th, 2026
Five AI Questions We're Hearing From Financial Services Leaders
The question at Sibos has moved from whether AI works to whether your data can support it.
more → Databricks, Wednesday, September 9th, 2026
Adaptive Instructed-Retriever: Frontier-Quality Search at 2x Lower Latency
A retrieval model trained to spend extra search steps only where query complexity justifies the cost.
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