Databricks Oct Meetup

The Story

**Speakers** **Thoughtworks: Eric Nagler and Arun Srinivasan** **Databricks: [Kevin Hartman](mailto:kevin.hartman@databricks.com)** **Location** **200 E Randolph St. Chicago Floor 25** **Hosts** **Thoughtworks** **Agenda:** **5:00-5:30p.m Happy Hour** **5:30 (45–60 min) — AI-Ready Semantic Layers: from ontology to Genie** **\- The problem: metric views give agents dimensions & formulas\, not part\-of / is\-a / rolls\-up\-to — and Genie Ontology only infers what your assets already encode \(the "right answer\, wrong rollup" failure — not a model problem\)\.** **\- The moat: the platform moved the floor; the domain\-specific semantic layer \(metric views\, glossaries\, ontology\) is still the differentiator\.** **\- The build: rapid discovery with the Ontology Accelerator → where to model non\-metric concepts \(tables vs\. UC semantics vs\. ontology vs\. agent\) → two live demos \(infer vs\. supply; end\-to\-end Genie Agent\)\.** **6:30 (\~60 min) — Consort (open source)** **\- What it is: keeps AI\-written code clean and correct — a deterministic state machine drives /plan → /design → /build → /deploy so agents can't skip steps\, weaken tests\, or drift from spec\.** **\- Why Lakebase: every git branch auto\-pairs with a copy\-on\-write Postgres branch in \~1s — tests run against real data\, not mocks\, and schema evolves in lockstep with code\.** **\- How it works: 8 role agents \(Spec Author\, Architect\, DBA\, Test Strategist\, UX\, Navigator\, Driver\, Product Owner\) communicate only through immutable artifacts; RED → GREEN → refactor; human\-approval gates that fail closed\.** **\- The differentiator: engineering discipline enforced by contract\, not suggestions — "green" means a real test pass on live infra\. Live /consort:start scaffolds repo \+ paired DB \+ agents \(StockFlow sample\)\.**

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