🎉 Congratulations on the launch of the dbt integration! I'm curious, what type of predictive analytics, text analysis, and forecasting can I now do with Infer and dbt? 😁 I'm excited to explore all the possibilities! 🤩

Congratulations on launching! I'm very intrigued with dbt-Infer. I'm not a dbt user myself but members of my squad on the day job swear by dbt.

I've just shared dbt-infer with them and will relay feedback. Maybe I'll start using dbt-infer myself given how promising it looks!

When I was running Product Analytics at Revolut, we had a very simple problem - we wanted to analyse customer feedback from 20 countries for sentiment - it took us data transformation, passing through Google's autoML APIs and then feeding data back - basically a month of data engineering work.

Now Infer is a game changer, because I can just implement this as part of my dbt pipeline and now I will have cross-platform and cross-language pipeline to solve analytics+ML hybrid problems.

Let's figure out a way to bring this to our Paradime platform 🤩

Hi 👋 I am Erik, co-founder at Infer 😊 Today we are launching our dbt integration. I’ll explain below in a bit more detail what that means but first I’ll describe what Infer is. Infer is on a mission to create the next generation of analytics. As part of this, we have created an extension to SQL, called SQL-inf, that works on any dialect of SQL. This extension introduces a set of new ML-powered commands, designed with analysts in mind. They enable you to perform predictive analytics, text analysis, forecasting, segmentations, similarity scoring, and much more. All within SQL. All with an emphasis on explainability. Infer supports a number of ways to do this: via the Infer platform, via an API, or by using dbt. We'll be adding more BI tools (currently beta testing Tableau!) soon. Our dbt integration enables you to use next-gen analytics commands natively in your dbt models. You can now solve use cases like churn analysis, sentiment analysis, translation, customer segmentation, LTV prediction, lead scoring and much more, right in your dbt models. For more use cases checkout our use case page. The setup is super easy. All you need do is setup an Infer account, install the dbt-infer package, and make a small change to our `profiles.yml`. Check out the details here. If you are a dbt user have a look and let us know what you think — we would love your feedback! 🤗 P.S. we are also working on closer dbt integration within our platform, so a lot more to come 🤩 The Infer Team