Elastic presented an architecture using Elastic Agent Builder and semantic search to ingest disparate data, apply machine learning, and remediate fraud across government programs.

Key Details

• Enables ingestion and normalization of disparate data sources across state and local agencies
• Leverages conversational Elastic Agent Builder and semantic search for cross-program fraud investigations
• Applies custom detection rules and machine learning to flag behavioral anomalies

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