Mike Stonebraker

Their database is the trolley schedule, that's SQL.

The light sequencing, that's SQL.

The intersections, that's CAD.

the federal country of Germany regulations of this stuff.

That's text.

City of Munich regulations for this stuff, which is text.

So you got to join SQL, SQL, CAD, text, and text.

So our point of view is turn it all into SQL, all into tables.

And do a join with what amounts to a query optimizer.

So that's what we're working on.

I think other people will have other ideas, but I think it's an extremely fertile area because people really want to do it.

So that's number one.

Number two, we talked earlier about agentic AI.

The minute this becomes read-write, it's a distributed database problem.

And you want atomicity, consistency, all that stuff.

I think a very interesting area.

So that's pretty much what I'm working on now.

So once you disambiguate the text,

A knowledgeable SQL user programmer with the schema will get very high accuracy.

I'd love to find out because, I mean, it's a terrific success story.