Skip to content
    • Products
      • TigerGraph Savanna
      • TIGERGRAPH DB
        • Community Edition
      • AI & Graph Intelligence
        • Hybrid Graph + Vector Search
        • Graph Data Science Library
        • Agentic Ai
        • GraphRAG
      • Languages and Tools
        • Solution Kits
        • GSQL Query Language
        • openCypher Query Language
        • GraphStudio
        • Insights
        • Connectors
      • Compare Editions
    • Solutions
      • Solutions
        • Solutions Overview
      • Increase revenue
        • Product Marketing
        • Customer 360
        • Entity Resolution
        • Recommendation Engine
      • Manage risk
        • Fraud Detection and Protection
        • Cybersecurity Threat Detection
        • Anti-Money Laundering (AML)
        • Risk Assessment and Monitoring
      • Improve operations
        • Supply Chain Analysis
        • Network Optimization
        • Energy Management System
      • By industry
        • Advertising, Media, Entertainment
        • Financial Services
        • Healthcare & Life Sciences
      • Foundational
        • AI & Machine Learning
        • Time Series Analysis
        • Geospatial Analysis
    • Developers
      • Download
        • TigerGraph DB
        • TigerGraph Docker Image
        • GSQL Client
      • Developers
        • Documentation
        • Developer Hub
        • Ecosystem
        • Community Forum
    • Resources
      • Blog
        • TigerGraph Blog
      • Resources
        • Demos
        • Webinars & Events
        • Videos & Podcasts
        • Benchmarks
        • Reports & Whitepapers
        • Datasheets
        • Glossary
    • Pricing
    • Services
      • Services and Support
        • TigerGraph University
        • Training & Certifications
        • TigerGraph Support
        • Documentation
        • Production Guidelines
    • Company
      • Company
        • Company Overview
        • Leadership
        • Legal Terms
        • Patents
        • Security and Compliance
      • Careers
        • Join Us
        • Open Positions
      • Customers
        • Ford
        • Intuit
        • Jaguar Land Rover
        • Xbox
        • JP Morgan Chase
        • Read more success stories
      • Press Room
        • News and Press Releases
        • Awards
      • Partners
        • Partner Benefits
        • TigerGraph Partners
    Contact Us
    • Products
      • TigerGraph Savanna
      • TIGERGRAPH DB
        • Community Edition
      • AI & Graph Intelligence
        • Hybrid Graph + Vector Search
        • Graph Data Science Library
        • Agentic Ai
        • GraphRAG
      • Languages and Tools
        • Solution Kits
        • GSQL Query Language
        • openCypher Query Language
        • GraphStudio
        • Insights
        • Connectors
      • Compare Editions
    • Solutions
      • Solutions
        • Solutions Overview
      • Increase revenue
        • Product Marketing
        • Customer 360
        • Entity Resolution
        • Recommendation Engine
      • Manage risk
        • Fraud Detection and Protection
        • Cybersecurity Threat Detection
        • Anti-Money Laundering (AML)
        • Risk Assessment and Monitoring
      • Improve operations
        • Supply Chain Analysis
        • Network Optimization
        • Energy Management System
      • By industry
        • Advertising, Media, Entertainment
        • Financial Services
        • Healthcare & Life Sciences
      • Foundational
        • AI & Machine Learning
        • Time Series Analysis
        • Geospatial Analysis
    • Developers
      • Download
        • TigerGraph DB
        • TigerGraph Docker Image
        • GSQL Client
      • Developers
        • Documentation
        • Developer Hub
        • Ecosystem
        • Community Forum
    • Resources
      • Blog
        • TigerGraph Blog
      • Resources
        • Demos
        • Webinars & Events
        • Videos & Podcasts
        • Benchmarks
        • Reports & Whitepapers
        • Datasheets
        • Glossary
    • Pricing
    • Services
      • Services and Support
        • TigerGraph University
        • Training & Certifications
        • TigerGraph Support
        • Documentation
        • Production Guidelines
    • Company
      • Company
        • Company Overview
        • Leadership
        • Legal Terms
        • Patents
        • Security and Compliance
      • Careers
        • Join Us
        • Open Positions
      • Customers
        • Ford
        • Intuit
        • Jaguar Land Rover
        • Xbox
        • JP Morgan Chase
        • Read more success stories
      • Press Room
        • News and Press Releases
        • Awards
      • Partners
        • Partner Benefits
        • TigerGraph Partners
    Contact Us

    Credit Risk Analytics with Graph: How Relationship Data Improves Risk Scoring

    1. Home>
    2. Credit Risk Analytics with Graph: How Relationship Data Improves Risk Scoring
    Read more about the article Credit Risk Analytics with Graph: How Relationship Data Improves Risk Scoring
    Credit Risk Analytics with Graph: How Relationship Data Improves Risk Scoring

    Credit Risk Analytics with Graph: How Relationship Data Improves Risk Scoring

    • Post author:Rajeev Shrivastava
    • Post published:June 8, 2026
    • Post category:blog

    Bureau data misses millions of creditworthy borrowers. Learn how graph-powered credit risk analytics uses relationship intelligence to score the unscorable.

    Continue ReadingCredit Risk Analytics with Graph: How Relationship Data Improves Risk Scoring
    Read more about the article Graph vs Vector Databases: Why Enterprise AI Needs Both Similarity and Context
    Graph Database vs Vector Database: What Enterprise AI Actually Needs

    Graph vs Vector Databases: Why Enterprise AI Needs Both Similarity and Context

    • Post author:Paige Leidig
    • Post published:June 8, 2026
    • Post category:blog

    Vector databases find what's similar. Graph databases understand why it's connected. Discover which your enterprise AI actually needs, and why powerful systems use both.

    Continue ReadingGraph vs Vector Databases: Why Enterprise AI Needs Both Similarity and Context
    Read more about the article Graph Database vs Relational Database: When to Make the Switch
    Graph Database vs Relational Database

    Graph Database vs Relational Database: When to Make the Switch

    • Post author:Victor Lee
    • Post published:June 8, 2026
    • Post category:blog

    Still relying on SQL for everything? Learn the key differences between graph and relational databases, when to switch, and 7 signs your data model has outgrown SQL.

    Continue ReadingGraph Database vs Relational Database: When to Make the Switch
    Read more about the article Enterprise AI Still Doesn’t Understand Relationships
    Enterprise AI Still Doesn't Understand Relationships

    Enterprise AI Still Doesn’t Understand Relationships

    • Post author:Rajeev Shrivastava
    • Post published:June 3, 2026
    • Post category:blog

    Enterprise AI Still Doesn’t Understand Relationships AI systems have become very good at retrieving information. They can summarize documents, generate answers, classify content, write code, search across large knowledge bases,…

    Continue ReadingEnterprise AI Still Doesn’t Understand Relationships
    Read more about the article The Next AI Bottleneck Isn’t Models. It’s Coordination.
    The Next Bottleneck Isn't Models_It's Coordination

    The Next AI Bottleneck Isn’t Models. It’s Coordination.

    • Post author:Rajeev Shrivastava
    • Post published:June 2, 2026
    • Post category:blog

    The Next AI Bottleneck Isn’t Models. It’s Coordination. For the last several years, most of the AI conversation has focused on intelligence. Better models. Larger context windows. More capable agents. Faster…

    Continue ReadingThe Next AI Bottleneck Isn’t Models. It’s Coordination.
    Read more about the article Snowflake Just Confirmed the AI Infrastructure Shift
    Snowflake Just Confirmed The AI Infrastructure Shift

    Snowflake Just Confirmed the AI Infrastructure Shift

    • Post author:Rajeev Shrivastava
    • Post published:June 1, 2026
    • Post category:blog

    Snowflake Just Confirmed the AI Infrastructure Shift For the last several years, most of the AI conversation centered on the model. Which company had the largest model. Which system generated the…

    Continue ReadingSnowflake Just Confirmed the AI Infrastructure Shift
    Read more about the article The Model Predicts. TigerGraph Proves.
    The Model Predicts. TigerGraph Proves.

    The Model Predicts. TigerGraph Proves.

    • Post author:Rajeev Shrivastava
    • Post published:May 21, 2026
    • Post category:Uncategorized

    The Model Predicts. TigerGraph Proves. AI Has a Confidence Problem. The AI industry talks constantly about intelligence. Very little about proof. That imbalance is becoming more dangerous as AI systems…

    Continue ReadingThe Model Predicts. TigerGraph Proves.
    • 1
    • 2
    • 3
    • 4
    • …
    • 24
    • Go to the next page

    TigerGraph Blog

    Products
    • TigerGraph Savanna
      • FAQ
      • Pricing
    • Language and Tools
      • Solution Kits
      • GSQL Query Language
      • OpenCypher Query Language
      • Graph Studio
      • Insights
      • Connectors
    • TigerGraph DB
      • Compare Editions
    • Graph Data Science
      • Graph Data Science Library
    Solutions
    • Solutions
      • Overview
    • Improve Operations
      • Supply Chain Analysis
      • Network Optimization
      • Energy Management System
    • Increase Revenue
      • Product and Service Marketing
      • Customer 360
      • Entity Resolution
      • Recommendation Engine
    • Manage Risk
      • Fraud Detection and Protection
      • Cybersecurity Threat Detection
      • Anti-Money Laundering (AML)
      • Risk Assessment and Monitoring
    • By Industry
      • Advertising, Media, Entertainment
      • Financial Services
      • Healthcare & Life Sciences
    • Foundational
      • AI & Machine Learning
      • Time Series Analysis
      • Geospatial Analysis
    Developers and Data Scientists
    • Download
      • TigerGraph DB
      • TigerGraph Docker Image
      • GSQL Client
    • Developers
      • Documentation
      • Developer Hub
      • Ecosystem
      • Community Forum
    Services and Support
    • Services and Support
      • TigerGraph University
      • Training & Certifications
      • Support
      • Documentation
      • Production Guidelines
    Resources
    • Blog
      • TigerGraph Blog
    • Resources
      • Demos
      • Webinar & Events
      • Videos & Podcasts
      • Benchmarks
      • Reports & Whitepapers
      • Datasheets
      • Glossary
    Company
    • Company
      • Company Overview
      • Leadership
      • Legal terms
      • Patents
      • Compliance
    • Customers
    • Press Room
    • Partners
    Privacy policy
    |
    Terms of service
    Copyright © 2026 TigerGraph.
    All rights reserved.
    Icon of the LinkedIn logo youtube logo
    Dr. Jay Yu

    Dr. Jay Yu | VP of Product and Innovation

    Dr. Jay Yu is the VP of Product and Innovation at TigerGraph, responsible for driving product strategy and roadmap, as well as fostering innovation in graph database engine and graph solutions. He is a proven hands-on full-stack innovator, strategic thinker, leader, and evangelist for new technology and product, with 25+ years of industry experience ranging from highly scalable distributed database engine company (Teradata), B2B e-commerce services startup, to consumer-facing financial applications company (Intuit). He received his PhD from the University of Wisconsin - Madison, where he specialized in large scale parallel database systems

    Smiling man with short dark hair wearing a black collared shirt against a light gray background.

    Todd Blaschka | COO

    Todd Blaschka is a veteran in the enterprise software industry. He is passionate about creating entirely new segments in data, analytics and AI, with the distinction of establishing graph analytics as a Gartner Top 10 Data & Analytics trend two years in a row. By fervently focusing on critical industry and customer challenges, the companies under Todd's leadership have delivered significant quantifiable results to the largest brands in the world through channel and solution sales approach. Prior to TigerGraph, Todd led go to market and customer experience functions at Clustrix (acquired by MariaDB), Dataguise and IBM.