We have been piloting louie.ai with some fairly heavy orgs that may be relevant: Cybersecurity incident responders, natural disaster management, insurance fraud

We have been piloting louie.ai with some fairly heavy orgs that may be relevant: Cybersecurity incident responders, natural disaster management, insurance fraud, and starting more regular commercial analytics (click streams, ...) A bit unusual compared to the above, we find operational teams need more than just SQL, but also Python and more operational DBs (Splunk, OpenSearch, graph DBs, Databricks, ...). Likewise, due to our existing community there, we invest a lot more in data viz (GPU, ..) and AI + graph workflows. These have been through direct use, like Python notebooks & interactive dashboards except where code is more opt-in where desired or for checking the AI's work, and new, embedded use for building custom apps and dashboards that embed conversational analytics.