Open source Business Intelligence and Embedded Analytics. 🌟 GitHub: https://xitter.gq/t.co/AvOD8jbBIB 📽️ YouTube: https://xitter.gq/t.co/eHsYD5c2WB
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We took over @datadoghq’s NYC office for an evening with the local data community.
Thanks to Datadog for hosting us and to everyone who came. NYC, we’ll be back.
Data teams aren’t afraid AI will take their jobs... they’re afraid it’ll be confidently wrong.
We ran a quiz and live polls during AI Analytics Week to see how teams really feel about AI on their data.
Here’s what came back 🧵
Jobs, not so much.
53% are excited about AI changing their role. Only 12% are losing sleep, and two-thirds of those still want to connect agents to their data.
ALT Donut chart of how 73 respondents feel about AI changing their role: 53% excited, 19% curious but not worried, 15% hadn't really thought about it, 12% say it keeps them up at night.
Want the rest of the numbers before your AI picks the wrong table? Here’s the full thing: buff.ly/V1xDqVX.
Metabase retweeted
Are we going back to test-driven development by prompting the tests first and asserting what you want before the agent builds it? But what about the BI engineer?
Sameer, the CEO of Metabase, said: “Business people are the best data contracts, they know when something doesn't make sense, they know the numbers. Plus, they feel it in their subconscious". A lot is changing in BI and data generally. This deep dive goes into how to consolidate components to optimize for human ergonomics, and not agents only, and what a unified, hierarchical lineage DAG has to do with catching drift at build time.
Where does verification happen on your team today? My two cents below.
ALT As humans write less code and fewer dashboards, how does the work of a BI engineer shift?
Clean data can still lose the room by slide 4 because leadership wants the answer, not the walkthrough.
At @DataConnectConf, @cbalusek will show how to lead with the point, with real before-and-after decks.
📍 Fri, Oct 30 | 3:05–3:50 PM ET | NorthPointe (2)
All the info: metabase.com/events/dataconn….
AI writes SQL for everyone now, which didn't remove the analytics bottleneck so much as move it from querying to verification.
Here's how to build the semantic layer that clears it: buff.ly/7ERW4D9
New in v64: More AI providers for Metabot 🧺
Pick where your AI runs: a hosted provider, your cloud, or your own vLLM server. Self-host, and nothing leaves your network.
Run Metabot on (almost) any model.
New: @MistralAI, @Zai_org, @deepseek_ai, @Kimi_Moonshot, @googleai, and @OpenRouter, and Self-hosted vLLM.
Joining the existing crew: @Anthropicai, @OpenAI, @awscloud Bedrock, and @Azure.
Pick yours: buff.ly/xHrh9BT.