Apache Iceberg

2 use cases using this technology

2published use cases

2industries

1countries on record

Agentic AI

top AI capability

Evidence mix: High 2 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry

Country

2 use cases

CybersecurityAgentic AIGenerative AI

CyberArk combines Apache Iceberg and Amazon Bedrock AI agents to cut support case resolution time up to 95%

CyberArk redesigned its technical support pipeline using AWS Fargate, PyIceberg and Amazon Bedrock (Claude 3.7 Sonnet) to auto-generate grok patterns for parsing diverse vendor log formats into Iceberg tables, and built autonomous AI agents that query Athena and CyberArk's knowledge base to perform root-cause analysis from natural-language questions. The system cut case resolution time by up to 95% (complex cases from up to 15 days to 2-4 hours), let engineers handle up to 4x more cases per day (from 2-3 to 8-12), and made logs queryable within minutes instead of hours or days.

CyberArkAmazon Bedrock · Apache Iceberg · AWS Fargate +5

InsuranceMachine Learning

How Mapfre Insurance modernized fraud claims with Amazon EMR Serverless

Mapfre Insurance, the number one auto and home insurer in Massachusetts, modernized fraud detection by combining graph-based features from Neo4j with machine learning models deployed on AWS, using Amazon EMR Serverless, Apache Iceberg tables on Amazon S3, AWS Glue Data Catalog, AWS Lake Formation, and Amazon MWAA for orchestration. Fraud predictions integrate directly with Guidewire Claims via AWS Lambda, automatically creating claim activities showing the top model drivers for adjusters. The initiative, covering Massachusetts Auto insurance and later expanded to Home insurance, has delivered more than $5 million in Net Present Value, with detection accuracy improved 50-135 percent compared to baseline methods.

Mapfre Insurance· United StatesAmazon EMR Serverless · Apache Iceberg · AWS Glue Data Catalog +5