[zurfer]

Well, I can't comment much on Genie, but the core question is always how you scale the complexity.

In Dot, it's divide and conquer. If you have several different teams each of them has to maintain their knowledge base.

A bunch of our customer have less than 10 tables hooked up to Dot, but this data is core to their business and so the analytics agent is really useful. Our most complex setup is on more than 5000 tables, but that was a lot more work to lay out the structure and guidelines.

Also, I don't think all organization are ready for AI. If the data model is a huge mess, data quality is poor and analytics use cases are not mature, it's better to focus on the fundamentals first.