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Best Neo4j Alternatives for Enterprise Workloads | TigerGraph
Graph + AI

Best Neo4j Alternatives for Large-Scale Enterprise Graph Workloads

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Ontology vs Knowledge Graph for Enterprise AI | TigerGraph
Graph + AI

Ontology vs Knowledge Graph: What Enterprise AI Needs for Context and Reasoning

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Taxonomy vs Ontology vs Knowledge Graph | TigerGraph
Graph + AI

Taxonomy vs Ontology vs Knowledge Graph: What’s the Difference for Enterprise AI?

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Data Lineage at Scale: A Graph Approach | TigerGraph
Graph + AI

Data Lineage at Scale: Why Connected Dependencies Need a Graph

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TigerGraph

TigerGraph Names Alan Silber VP of Sales, Americas to Accelerate Growth in Enterprise AI and Financial Services

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A graphic shows an AI stack with five layers: Applications, LLMs, Vector Databases, Relationship Runtime for AI (highlighted), and Data. Text reads, Your AI stack is missing a layer. Add the relationship layer. TigerGraph logo included.
Graph + AI, Graph Databases
Tue 21 Apr 2026
The Missing Layer in Your AI Stack
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Diagram showing interconnected people and devices, a bank, and a credit card, alongside line graphs labeled T1, T2, T3, illustrating timing patterns. Text reads: Coordinated Timing Patterns That Reveal Collusion.
Fraud / Anti-Money Laundering, Graph Databases
Sun 19 Apr 2026
Coordinated Timing Patterns That Reveal Collusion
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A graphic from TigerGraph showing a glowing donut chart with the text: Your AI cost problem isn’t training. It’s inference. and 70–80% of AI cost is inference. The phrase Fix Inference appears at the bottom.
Graph + AI
Sat 18 Apr 2026
Your AI Cost Problem Isn’t Training. It’s Inference.
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An infographic compares Tokenmaxxing and Inference Yield leaderboards, showing top performers change as metrics shift. Tokenmaxxing lists Alex Kim, Taylor Morgan, Jamie Patel; Inference Yield lists Maya Johnson, Jordan Lee, Priya Shah.
Graph + AI
Thu 16 Apr 2026
Tokenmaxxing is a Phase. Inference Yield is the Strategy.
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Infographic compares Vector RAG and GraphRAG token usage: scattered blue dots (high compute/power) vs. connected orange nodes (lower compute/power). Learn how to reduce AI inference cost and tokens—stop wasting resources today!.
Graph + AI
Mon 13 Apr 2026
AI Is Facing a 19-Gigawatt Power Gap. Here’s the Fix.
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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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