For security+fraud+IT examples, you can see some of the talks @ https://www.graphtheplanet.com/ https://www.graphtheplanet.com/ a couple weeks back We primaril

For security+fraud+IT examples, you can see some of the talks @ https://www.graphtheplanet.com/ https://www.graphtheplanet.com/ a couple weeks back We primarily get pulled in as a component for projects that use as part of: * Asset management, whether sec, IT, manufacturing specs, pharma, metadata stores, config systems... * ML model unification (e.g., how Google translates between many systems) * Knowledge bases/search for both people & for algorithms. Wikis, recommendors, ... . There are less common scenarios we see that I also expect to explode, like massively bootstrapping ML systems via weak supervision. GraphDBs & compute are also used for what I consider non-knowledge graph scenarios, likely scaling some compute tasks. Exciting times!