TigerGraph Blog

225 posts indexed since 2022

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Post Details

225 matching posts

Title Author Published Words HN Pts
What Graph can do for Retail and Healthcare, Beyond Recommendations Rajeev Shrivastava 2026-04-10 1,361 --
How Over-Resolved Entities Suppress Alerts Rajeev Shrivastava 2026-04-10 1,330 --
AI Is Facing a 19-Gigawatt Power Gap. Here’s the Fix. Rajeev Shrivastava 2026-04-13 1,068 --
Tokenmaxxing is a Phase. Inference Yield is the Strategy. Rajeev Shrivastava 2026-04-16 766 --
Coordinated Timing Patterns That Reveal Collusion Victor Lee 2026-04-19 1,721 --
Your AI Cost Problem Isn’t Training. It’s Inference. Paige Leidig 2026-04-20 915 --
Why Time-Aware AML Signals Only Make Sense in a Graph Paige Leidig 2026-04-21 1,769 --
The Missing Layer in Your AI Stack Rajeev Shrivastava 2026-04-21 955 --
Connection Changes Everything Paige Leidig 2026-04-22 963 --
Understanding Network Escalation and Risk Propagation in AML Paige Leidig 2026-04-23 1,470 --
Data Isn’t the Problem. Context Is. Rajeev Shrivastava 2026-04-24 811 --
Financial Crime Modernization is Stalling for a Simple Reason Victor Lee 2026-04-27 1,567 --
McKinsey Is Right: AI Needs Context. Almost No One Has It. Rajeev Shrivastava 2026-05-05 972 --
McKinsey Described the Agent Factory. Most Systems Are Still Just Sequences. Rajeev Shrivastava 2026-05-06 1,012 --
McKinsey Highlighted the Risk. Most AI Decisions Still Can’t Be Proven Rajeev Shrivastava 2026-05-11 1,197 --
AI Slop Happens When AI Loses Reality Rajeev Shrivastava 2026-05-18 1,050 --
The Enterprise AI Stack Has a Trust Problem Rajeev Shrivastava 2026-05-19 956 --
The Model Predicts. TigerGraph Proves. Rajeev Shrivastava 2026-05-20 972 --
Snowflake Just Confirmed the AI Infrastructure Shift Rajeev Shrivastava 2026-06-01 1,110 --
The Next AI Bottleneck Isn’t Models. It’s Coordination. Rajeev Shrivastava 2026-06-02 1,576 --
Enterprise AI Still Doesn’t Understand Relationships Rajeev Shrivastava 2026-06-03 1,581 --
Graph Database vs Relational Database: When to Make the Switch Victor Lee 2026-06-08 3,226 --
Credit Risk Analytics with Graph: How Relationship Data Improves Risk Scoring Rajeev Shrivastava 2026-06-08 2,647 --
Graph vs Vector Databases: Why Enterprise AI Needs Both Similarity and Context Paige Leidig 2026-06-08 2,677 --
Graph Database for Customer 360: Building a Unified Customer View That Actually Works Victor Lee 2026-06-23 2,567 --
How to Build a Knowledge Graph with LLMs for Enterprise AI Paige Leidig 2026-06-23 2,342 --
Predictive Analytics in Supply Chain: How Graph Adds the Missing Layer Rajeev Shrivastava 2026-06-23 2,141 --
Graph-Powered Recommendation System Algorithms: Beyond Collaborative Filtering Victor Lee 2026-06-23 2,560 --
Graph Database for Risk and Fraud Analytics: Why Unified Fraud Detection Beats Siloed Systems Victor Lee 2026-06-29 2,592 --
Healthcare Graph Database: How Graph Powers Cost Control, Fraud Detection, and Referral Intelligence Rajeev Shrivastava 2026-06-29 2,193 --
KYC Risk Assessment: How Graph Analytics Strengthens Know-Your-Customer Victor Lee 2026-06-29 2,318 --
Graph Database vs NoSQL: Where Graph Fits in the Modern Data Stack Paige Leidig 2026-06-29 2,728 --
Why AI Is Redefining Enterprise Identity Rajeev Shrivastava 2026-07-13 2,304 --
TigerGraph 4.3: Built for Enterprise Security, Integration, and Scale Arun Ramasami 2026-07-15 628 --
What is GraphRAG? How Knowledge Graphs Make LLMs More Accurate Rajeev Shrivastava 2026-07-17 2,163 --
Best Graph Databases in 2026: A Comparison Victor Lee 2026-07-17 2,923 --
Cybersecurity Threat Detection with Graph: Stopping Attacks Before They Spread Victor Lee 2026-07-17 2,537 --
Graph Neural Networks Explained: When AI Learns from Connections Rajeev Shrivastava 2026-07-17 2,009 --
Entity Resolution vs Identity Graph: What’s the Difference and Why It Matters Paige Leidig 2026-07-17 2,401 --
Property Graph vs RDF: Choosing the Right Graph Model for Your Use Case Paige Leidig 2026-07-22 2,823 --
AML with Graph Analytics: Detecting Money Laundering Patterns That Hide in Plain Sight Victor Lee 2026-07-22 2,525 --
Cyberattack Path Analysis: How Graph Maps the Routes Attackers Take Rajeev Shrivastava 2026-07-22 2,383 --
GraphRAG vs Vector RAG: Which Retrieval Approach Wins for Enterprise AI Paige Leidig 2026-07-22 2,225 --
Supply Chain Resilience: How Graph Helps You Bounce Back Faster from Disruption Rajeev Shrivastava 2026-07-22 2,252 --
Graph Database Use Cases: 10 Enterprise Problems Only a Graph Can Solve Paige Leidig 2026-08-04 2,490 --
The GraphRAG Advantage: Higher Accuracy, Lower Tokens, Better Explainability Paige Leidig 2026-08-04 2,547 --
Advanced RAG Techniques: From Naive RAG to Hybrid GraphRAG Victor Lee 2026-08-04 2,423 --
Context Engineering vs Prompt Engineering: What’s the Difference? Rajeev Shrivastava 2026-08-04 3,167 --
Beyond RAG: Why Enterprise AI Needs Relationship-Aware Reasoning Rajeev Shrivastava 2026-08-04 2,441 --
What Is Agentic RAG? How Graph Databases Enable Next-Gen AI Agents Rajeev Shrivastava 2026-08-04 2,391 --