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Healthcare Graph Database: How Graph Powers Cost Control, Fraud Detection, and Referral Intelligence
Healthcare

Healthcare Graph Database: How Graph Powers Cost Control, Fraud Detection, and Referral Intelligence

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Graph Database for Risk and Fraud Analytics: Why Unified Detection Beats Siloed Systems
Risk and Fraud Analytics

Graph Database for Risk and Fraud Analytics: Why Unified Fraud Detection Beats Siloed Systems

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Graph Database vs NoSQL_ Where Graph Fits in the Modern Data Stack
Graph Databases

Graph Database vs NoSQL: Where Graph Fits in the Modern Data Stack

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KYC Risk Assessment: How Graph Analytics Helps
KYC risk assessment

KYC Risk Assessment: How Graph Analytics Strengthens Know-Your-Customer

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Graph-Powered Recommendation System Algorithms: Beyond Collaborative Filtering
Graph Algorithms

Graph-Powered Recommendation System Algorithms: Beyond Collaborative Filtering

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A diagram with AI in a central orange circle connected to icons of a bank, person, document, mobile device, and a shield. Text below reads: Why Every Responsible Agentic AI System Needs a Graph Spine. TigerGraph logo at top left.
Graph + AI, Graph Databases
Fri 10 Apr 2026
Why Every Responsible Agentic AI System Needs a Graph Spine
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A graphic shows a stable entity with a shield icon in blue, a fragile entity with a warning icon in orange, and a risk alert connecting them. Text reads: Why Entity Resolution Risk Scoring Needs Graph. TigerGraph logo is at the top left.
Entity Resolution, Fraud / Anti-Money Laundering, Graph Databases
Fri 10 Apr 2026
Why Entity Resolution Risk Scoring Needs Graph
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A graphic shows icons for fraud signals and connected network devices, with the text: More Fraud Signals Will Not Save You. Connections Will. The TigerGraph logo appears in the top left corner.
Fraud / Anti-Money Laundering, Graph Databases
Fri 10 Apr 2026
More Fraud Signals Will Not Save You. Connections Will.
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Diagram showing two records (A and B) with similar info linked to a merged ID. Network nodes connect the records, illustrating how explainability in entity resolution decisions shows why records were linked or merged.
Entity Resolution, Fraud / Anti-Money Laundering
Fri 10 Apr 2026
Explainability in Entity Resolution Decisions Shows Why Records Were Linked or Merged
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An infographic by TigerGraph shows how graph technology benefits retail—fraud detection, demand forecasting, supply chain visibility—and healthcare—referral optimization, medication safety, care coordination—beyond recommendations.
Fraud / Anti-Money Laundering, Graph Databases, Healthcare
Fri 10 Apr 2026
What Graph can do for Retail and Healthcare, Beyond Recommendations
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TigerGraph graphic illustrating circular money flow between individuals and institutions, with icons for coordinated fraud and shared infrastructure; text reads How to Supercharge Fraud Detection with Graph Models.
Fraud / Anti-Money Laundering, Graph Databases
Fri 10 Apr 2026
How to Supercharge Fraud Detection with Graph Models
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Infographic with the TigerGraph logo, five labeled graphs illustrating key graph algorithms: Centrality, Community Detection, Pathfinding, Similarity, and Ranking. Text reads: The Five Graph Algorithms Every Data Leader Needs to Know.
Graph Algorithms, Graph Databases, Risk and Fraud Analytics
Fri 10 Apr 2026
The Five Graph Algorithms Every Data Leader Needs to Know
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Infographic titled How Over-Resolved Entities Suppress Alerts shows user icons linked to institutions with alert symbols, merging into overlapping circles labeled Multiple Signals. TigerGraph logo is at the top left.
Entity Resolution, Fraud / Anti-Money Laundering, Graph Databases
Thu 9 Apr 2026
How Over-Resolved Entities Suppress Alerts 
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Three clipboard icons with question marks and warning symbols are connected by arrows, representing unresolved cases. The background features a blue gradient and network lines, with the text: Repeat Investigations Signal Entity Resolution Failures That Inflate Casework.
Entity Resolution, Fraud / Anti-Money Laundering, Graph Databases
Thu 9 Apr 2026
Repeat Investigations Signal Entity Resolution Failures That Inflate Casework
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Diagram illustrating temporal conflicts in entity resolution, showing connections between past, present, and future events, warning icons, and conflicting information between entities. TigerGraph logo and title appear at the bottom.
Entity Resolution, Fraud / Anti-Money Laundering, Graph Databases
Thu 9 Apr 2026
Why Temporal Conflicts in Entity Resolution Cause Chaos
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A central orange AI circle connects with icons representing shopping, health, banking, money, business, and shipping. TigerGraph logo appears in the top left. Text below reads, Redefining Enterprise Automation with Agentic AI.
Graph + AI, Graph Databases
Wed 8 Apr 2026
Redefining Enterprise Automation with Agentic AI
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A network diagram with connected icons representing people, devices, money, and shopping, illustrating data relationships. The TigerGraph logo is in the top left, with the text, Why Connections Matter More than Ever in Data Analytics at the bottom.
Graph Databases, Risk and Fraud Analytics
Wed 8 Apr 2026
Why Connections Matter More Than Ever in Data Analytics
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An infographic by TigerGraph shows two networks: one with duplicate and fragmented records, and another with unified, complete identities, illustrating how graph technology resolves broken entity resolution.
Entity Resolution, Fraud / Anti-Money Laundering, Graph Databases
Wed 8 Apr 2026
Entity Resolution is Broken & Here’s How Graph Fixes it
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Two network diagrams compare a disorganized data dump with unclear structure to a clear 360 model with readable connections, highlighting the benefits of using 360 Models and GraphStudio for graph analytics. TigerGraph logo is present.
Graph Databases
Wed 8 Apr 2026
The Fastest Way to Start with Graph Analytics: 360 Models + GraphStudio
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An infographic comparing traditional machine learning, shown with isolated icons, to graph-based machine learning, shown with connected network nodes. Text reads: Think You Understand Machine Learning? Try It with Graphs. TigerGraph logo top left.
Entity Resolution, Fraud / Anti-Money Laundering, Machine Learning / AI
Wed 8 Apr 2026
Think You Understand Machine Learning? Try it with Graphs
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