Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines

Leela Kumili — Mon, 29 Jun 2026 14:26:00 GMT

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical campaigns. Using embeddings, vector search, and LLM ranking, it replaces rule-based workflows. Evaluation shows 75% top-1 and 100% top-3 coverage. The system reduces manual effort, improves consistency, and uses feedback loops to refine retrieval using campaign outcomes.

By Leela Kumili

Anthropic Reports Claude Now Handles 95% of Internal Analytics Queries

Renato Losio — Sun, 21 Jun 2026 16:47:00 GMT

Anthropic recently reported that Claude now handles around 95% of its internal analytics requests, letting employees query business data independently instead of relying on data teams. The company attributes this result less to advances in models and more to data governance, semantic definitions, and operational discipline.

By Renato Losio

InfoQ - Business Analytics

Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines

Anthropic Reports Claude Now Handles 95% of Internal Analytics Queries