The Knowledge Graph is a paradigm shift in data organization, and as such, it has the ability to unlock products that were previously unfeasible.
At Reonomy we have used the knowledge graph to create a comprehensive view of all of the commercial properties across the United States, their debt and transactional history, and most importantly, their complex human and corporate ownership structures.
We will soon release a product offering of the full landscape of property owner portfolios across the U.S. – something that has never been created before.
The volume of the data, and the requirement of high quality edges and entity resolution mean that our graph is created by machine learning algorithms and AI within best-in-class high volume data processing pipelines.
I'll walk through the paradigm of thinking and the technical decisions that has led to the successful construction of this and other products at Reonomy.