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In the first part of this series, running Backstage on Databricks Lakebase gave us...
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Foundations for an AI-forward healthcare organization
Foundations for an AI-forward healthcare organization tackles the real blocker to health system AI adoption: fragmented data, rigid or undefined governance, and a misaligned operating model — not procurement. It argues that with governance built into the platform and serverless infrastructure, health systems can get a first governed AI use case live in weeks rather than months.
Agentic media buying cannot scale without the right foundation. See how buyers and sellers get there on Databricks.
Databricks has released a reference implementation and self-deploy accelerator for agentic media buying, giving buyer and seller organizations a working blueprint where autonomous agents transact using governed data, transactional state, identity, hosted models, and observability unified on one platform. Teams can stand this up directly in their own workspace rather than stitching together a multi-vendor integration, adapting the agents to transact with partners over open standards and shifting effort from manual coordination to strategy and results.
Convert proprietary code to open ANSI SQL with Genie Code
Now in Beta, Genie Code powers an agentic converter that launches swarms of parallel agents to translate proprietary SQL into open ANSI SQL, iteratively validating both syntax and semantic intent. It covers T-SQL, Snowflake, Redshift, Oracle, BigQuery, and Teradata sources, with migration projects in the Databricks workspace to track progress, visualize lineage, and identify objects that need to move together.
NBCUniversal’s Seamless Migration: Unlocking Scalable Analytics with Databricks
NBCUniversal cut costs by 30% by moving from a slot-based reservation model to Databricks' dedicated job compute, letting parallel pipelines scale independently and consistently hit SLA targets. Partner EXL executed the migration in phases with custom accelerators for code conversion, data migration, and automated validation, giving NBCUniversal a unified platform for ML development, real-time analytics, and collaborative data engineering.
Quality care is the mission. Finance protects the margin.
Quality care is the mission. Finance protects the margin — while revenue-side functions like coding, adjudication, and denials get faster and more complex through AI and agents, finance teams are still working from fragmented systems and weeks-old data. This post argues that Databricks Genie closes that gap as a governed, ontology-grounded AI coworker that answers the three core finance questions — cost-to-reimbursement gaps, denials/underpayments, and trapped cash — with every figure traced to source and correct, not just accurate, in business context.
Manufacturing runs on capital. Finance protects the margin.
Manufacturing locks an estimated $1.7T in excess working capital across large US companies, trapped in inventory, receivables, and equipment; finance's job is freeing that cash, and AI agents are making that job both faster and more complex. The post argues an ontology is what makes a number trustworthy in business context, and shows how Genie acts as a data-smart finance coworker, surfacing where cash is trapped, where receivables are aging, and which assets underperform with governed, traceable answers.