

479: Knowledge Graphs
Jun 15, 2021
Maureen Teyssier, Chief Data Scientist at Reonomy, shares her insights from her transition from computational astrophysics to the cutting-edge world of commercial real estate data science. She delves into the power of knowledge graphs for illuminating ownership dynamics and emphasizes the importance of both soft and hard skills when hiring. Maureen also offers valuable tips for building effective data science teams and highlights essential tools for transitioning from academia to industry, all while discussing the intricate nature of data management in today's landscape.
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Knowledge Graphs at Reonomy
- Reonomy's knowledge graph links people, companies, and properties, revealing complex ownership structures.
- Nodes represent entities like people or properties, while edges capture their relationships, such as ownership or employment.
Walt Disney's Secret Land Purchase
- In the 1960s, Walt Disney secretly bought 30,000 acres of land for Disney World using shell corporations.
- This prevented others from inflating land prices or disrupting his plans with nearby developments.
Connecting Entities in Reonomy's Knowledge Graph
- Reonomy uses AI and machine learning to connect entities in their knowledge graph, such as identifying the same person across different records.
- This process involves high-volume distributed pipelines using Spark to handle the massive dataset.