A while ago I watched an AI agent give a confidently wrong answer for an entirely boring reason. A business had two records for the same corporate customer. One held the old trading name and a finance ...

A hands-on walkthrough of how to build, operate, and consume an entity-resolved graph in production — combining Senzing's entity resolution engine with Neo4j and GraphAware Hume. We cover the full ...

CLEARWATER, FLORIDA — April 28, 2026 — The Africa DPP Registry (digitalproductpassports.co.za) today announced full operational status as Africa’s first forensic-grade Digital Product Passport (DPP) ...

Abstract: Anti-money laundering (AML) monitoring must detect hidden illicit fund flows from large, noisy, and highly connected financial transactions. In practice, laundering behavior is rarely ...

Dun & Bradstreet has spent over 180 years building a comprehensive commercial database. Its Commercial Graph, covering 642 million businesses and their relationships, corporate hierarchies and risk ...

Financial institutions are investing heavily in AI. They are building copilots, risk intelligence systems, compliance assistants, customer service agents, fraud detection models, and automation ...

Kiro helps developers build and deploy software using their LLMs of choice, and Kiro powers bring specific expertise into the development environment with third party tools, like the new Senzing ER ...

The new Kiro power from Senzing brings fast, accurate agentic entity resolution directly to developers working in Kiro agentic IDE Senzing, the leading provider of real-time entity resolution (ER) for ...

Entity resolution (ER) is the process of determining when distinct records refer to the same real-world object, a cornerstone of data integration and quality assurance across sectors such as ...

Graph-based conflict resolution methods employ mathematical graphs to represent the possible states of a conflict and the moves that decision-makers can enact to transition between these states.