This month, returning presenter and long-time supporter of the forum [Mark Rittman, CEO at Rittman Analytics](https://www.linkedin.com/in/markrittman/) will tell us about "**Teaching AI to Work Like a World-Class Data Team**" *Coding agents such as Claude Code can now build data pipelines, write SQL transformations and create dashboards in minutes. But speed is not the same as getting it right. Left to themselves, they guess at requirements, skip tests and produce work that is hard to review or maintain.* *At Rittman Analytics we hit these problems early. Our answer was Wire, a framework that gives AI agents the structure we give a new consultant: defined project stages, agreed standards for data models and code, automated checks at each step and a person who approves the output. It runs inside the AI tools we already use and draws on a shared registry of our delivery processes. It has since grown into hosted agents that join our project teams, each with its own access to GitHub, Jira, Slack and the client’s cloud data platform.* *This talk walks through how Wire works, using examples from real projects on BigQuery, dbt and Looker. We cover what improved, what went wrong and which decisions we still keep with people."* *For reference, here's the [docs](https://docs.rittmananalytics.com/en/latest/) and the [Claude Code plugin](https://github.com/rittmananalytics/wire-plugin) and a [few ](https://rittmananalytics.com/blog/2026/02/25/introducing-the-wire-framework-the-secret-sauce-behind-our-ai-augmented-analytics-project)[blog ](https://rittmananalytics.com/blog/2026/10/11/whats-new-in-wire-4-x-multi-agent-development-dbt-charts-agents-schema-more)[posts](https://rittmananalytics.com/blog/2026/10/17/a-preview-of-fully-agentic-project-delivery-using-wire-google-cloud-and-rittman-analytics) that describe what I'll be talking about.* Please be punctual, the event starts with networking and refreshments at 17:45, with talks and live stream starting at 18:20. The event is

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