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Intro
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Who am I
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This talk is about graphs
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Who owns the graphs
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Graphs of love
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Meet Jeremy
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First Steps
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Good Friends
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Friends Graph
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Graph Databases
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Cypher
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Passion Graph
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Privacy
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Traits
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Location
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Chicago
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Location Matters
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The Graph
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Liars
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Jake
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Jonathan
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Evidence
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Spam Graph
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BOTS
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Professionals
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Finance
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Payment Graph
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Demographics
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Risk Analysis
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Consumer Graph
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Hierarchy
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Fake Phone Numbers
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Fraud Detection
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Speed
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Identity Management
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Access Control
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Security Graph
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Portfolio Analytics
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Cyber Query
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Master Data
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Twitter
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Model W
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Summary
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Recommendation Engine
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Human Centipede
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Filtering Recommendations
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Movie Recommendations
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Why Graph Databases
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No Sequel Databases
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Performance
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Takeaway
Description:
Explore how finance can leverage insights from dating site technologies in this 44-minute conference talk from GOTO Chicago 2015. Delve into the world of graph databases and their applications in both dating and financial sectors. Learn how sophisticated data analysis techniques used by dating sites like Match.com and Zoosk can be applied to finance for tasks such as risk analysis, fraud detection, and portfolio analytics. Discover the power of Cypher query language and how it can be used to create nuanced portraits of customers and financial relationships. Examine real-world examples of graph applications, including friend networks, passion graphs, and payment graphs. Gain insights into privacy concerns, identity management, and security in graph databases. Understand the advantages of graph databases over traditional relational databases in terms of performance and flexibility. Walk away with practical knowledge on how to implement graph-based solutions in financial contexts, including recommendation engines and master data management. Read more

What Finance Can Learn From Dating Sites

GOTO Conferences
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