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After the rousing success of the first Cafe Analytique back in November, we thought we'd have another one on Wednesday the 16th of March from 6pm, and immediately make the name redundant by having it in a pub – specifically the Hare and Hounds on London Road. A bit more informal this time – no talk at the beginning, just sitting down and chatting about #analytics. If that sounds like something you'd be interested in, let us know you're coming by signing up here.
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Martin Sahlen, CEO of Alvin AI, joins the Measure Pod to discuss automating BigQuery cost optimisation through billing model arbitrage, with no AI in the engine.
Someone in your organisation has already connected an AI agent to a live data source. Probably several people have. They've pointed Claude at HubSpot, asked it to pull numbers from Google Analytics, had it read a Jira board or reconcile figures across two systems. The data never moved. Nobody waited for a pipeline. Nobody asked the data team. They did this because it was easy. And people will always go where the friction is least. This is happening everywhere, across every function, in organis
From internal experiments to client-facing data products Eighteen months ago, we started building AI agents internally. Not as a product play - as a way to stop doing repetitive work. Documentation, QA checklists, data validation. The kind of tasks that every analytics consultancy does hundreds of times a year and nobody enjoys. That experiment became our first internal AI assistant. And what we learned building it changed how we think about data products for clients. Here's what we know now