Graph

The rise of Slack and the importance of Slack.

Last year we highlighted at Dreamforce how Slack would be great unstructured data for things like Graph.

I just came back from the Neo4j Graph Talk New York City.

And ontologies, graphs, picking up data from Slack, Gmail.

new tools like Instinct is out, Meta's got a new tool.

Yeah, I mean, I think we're already seeing that, right? With GraphRag, GraphRag has really been the big boost, I think, in that space.

But if we think about the different ways in which you go from data to a knowledge graph, which, again, knowledge graph is a term that's being thrown around a lot.

But I think it's going to depend on the type of data that's feeding that knowledge graph.

And so I do wonder what the consequences of that will be in the future.

And as you were saying to machine learning, to AI, generative AI and all these other areas too.

Yeah, I think if we look at the graph database industry, the introduction of Spanner Graph and BigQuery Graph both is going to definitely be a huge hit, both in terms of people are going to love this, clearly.

It allows them to do graph right where their data already exists.

Moving data into BigQuery and into Spanner is super easy.

The luxury of time and the opportunity to connect over seminars and over coffee and lunch has created many exciting collaborations and new research.

And recently, at the Operators Groups and Graphs program that finished up in December last year, it wasn't just an opportunity for old friends to come together to work on new mathematics.

It provided an opportunity for a family of visiting mathematicians to work together for the very first time.

So that was Uri Bader, who's a professor of mathematics at the Weizmann Institute of Science and at the University of Maryland, who has a long-standing friendship and many collaborations with Roman Sauer, who's a professor at the Karlsruhe Institute of Technology.