Entity Resolution

2 posts about Entity Resolution. Every summary links to the original.

Databricks · May 20, 2026
Databricks for Good and Virtue Foundation: Partnering to Connect Medical Volunteers to Critical Health Services in 72 Countries
Virtue Foundation’s VF Match platform connects medical professionals with volunteer opportunities across 72 low and low-middle income countries, but scaling its initial LLM proof of concept into production required a robust data pipeline. The Databricks-based Foundational Data Refresh combines Overture Maps and Bright Data, processes more than 25 million web pages with targeted GPT extraction steps, and uses Spark, Photon, and Lakeflow Jobs to orchestrate checkpointed, modular workloads. Splink resolves duplicate facilities and nonprofits across messy sources; Photon reduced the slowest entity-resolution partition from 30 minutes to approximately two minutes, a 15x improvement. A prototype VF Agent adds natural-language access through LangGraph, Databricks Model Serving, AI Search, and Genie, while the resulting system provides an up-to-date global view of healthcare infrastructure and volunteer needs.
Priyanka Mehta, Shaunak Sen
Databricks · May 13, 2026
The Rosetta stone of CPS: Claroty’s AI-powered library
CPS asset identification is difficult because 88% of CPS assets do not transmit an exact product code and 76% use product codes that differ from the vendor's official records. Claroty's AI-Powered CPS Library addresses this entity-resolution problem with a hybrid architecture that combines classic matching, statistical inference, generative AI, NLP, reasoning agents, and human-in-the-loop review to reconcile protocol data, vendor records, manuals, and vulnerability information. Its Databricks-based lakehouse uses Delta Lake, Unity Catalog, Spark pipelines, Model Serving, MLflow evaluations, Lakebase, and Databricks Apps to maintain governed, auditable mappings across a catalog of more than 17 million assets. The post reports 25% improved vulnerability-attribution accuracy and says early tests gave 56% of analyzed devices new or updated recommendations for outdated firmware, while low-confidence mappings remain subject to expert review.
Ben Hazan, Anton Berlinsky, Ohad Avni, Itay Wagner, Guy Zalcman, Dor Bdolach, Ravid Ariely, Gal Sberro

Databricks for Good and Virtue Foundation: Partnering to Connect Medical Volunteers to Critical Health Services in 72 Countries

Virtue Foundation’s VF Match platform connects medical professionals with volunteer opportunities across 72 low and low-middle income countries, but scaling its initial LLM proof of concept into production required a robust data pipeline. The Databricks-based Foundational Data Refresh combines Overture Maps and Bright Data, processes more than 25 million web pages with targeted GPT extraction steps, and uses Spark, Photon, and Lakeflow Jobs to orchestrate checkpointed, modular workloads. Splink resolves duplicate facilities and nonprofits across messy sources; Photon reduced the slowest entity-resolution partition from 30 minutes to approximately two minutes, a 15x improvement. A prototype VF Agent adds natural-language access through LangGraph, Databricks Model Serving, AI Search, and Genie, while the resulting system provides an up-to-date global view of healthcare infrastructure and volunteer needs.

Priyanka Mehta, Shaunak Sen

The Rosetta stone of CPS: Claroty’s AI-powered library

CPS asset identification is difficult because 88% of CPS assets do not transmit an exact product code and 76% use product codes that differ from the vendor's official records. Claroty's AI-Powered CPS Library addresses this entity-resolution problem with a hybrid architecture that combines classic matching, statistical inference, generative AI, NLP, reasoning agents, and human-in-the-loop review to reconcile protocol data, vendor records, manuals, and vulnerability information. Its Databricks-based lakehouse uses Delta Lake, Unity Catalog, Spark pipelines, Model Serving, MLflow evaluations, Lakebase, and Databricks Apps to maintain governed, auditable mappings across a catalog of more than 17 million assets. The post reports 25% improved vulnerability-attribution accuracy and says early tests gave 56% of analyzed devices new or updated recommendations for outdated firmware, while low-confidence mappings remain subject to expert review.

Ben Hazan, Anton Berlinsky, Ohad Avni, Itay Wagner, Guy Zalcman, Dor Bdolach, Ravid Ariely, Gal Sberro