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Featured Stories

Building product recommendation systems on Databricks

A guide to building product recommendation systems on Databricks, covering interaction data, vector retrieval, ranking and serving, evaluation and the reasons pilots stall, updated with Databricks' 2026 feature store, AI Search and serving releases.

The types of AI agents enterprise teams actually deploy

An overview of the AI agent types enterprises run in production, with examples of retrieval, workflow and coding agents and guidance on matching autonomy to risk.

How Databricks volumes and external locations move data into the lakehouse

A practical look at how Databricks volumes and external locations govern file ingestion, when to use managed or external volumes and how to retire DBFS mounts.

How to choose an agentic AI framework for enterprise workloads

A practical guide to selecting an agentic AI framework for enterprise workloads, covering workload mapping, graph versus role-based orchestration, governance requirements, platform fit and evaluation.

Building audit-ready regulatory reporting on Databricks with Unity Catalog

A practical guide for bank data and regulatory reporting leaders on using Unity Catalog lineage, access controls and audit history on Databricks to support Basel, CCAR and AML submissions.

DBRX and the case for open-weights enterprise LLMs

An enterprise look at the DBRX model from Databricks, covering its mixture-of-experts design, how it compares with GPT-4 and when open-weights LLMs make sense.

What a digital platform is and how enterprises build one that pays off

A plain-language definition of digital platforms with enterprise examples, the role of the modern data platform underneath and the practices that make platform investments pay off.

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