Presentation: The Infrastructure Challenge behind Production AI

Simerus Mahesh, Alex Infanzon, Meryem Arik, Luca Bianchi, Renato Losio — Wed, 01 Jul 2026 11:00:00 GMT

The panelists explain the realities of running AI systems reliably at scale. While building models is solved, maintaining production databases under constant pressure is not. They discuss the emerging architectural decisions separating teams that scale gracefully from those facing catastrophic outages, and what engineering leaders must rethink today.

By Simerus Mahesh, Alex Infanzon, Meryem Arik, Luca Bianchi, Renato Losio

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

InfoQ - MLOps

Presentation: The Infrastructure Challenge behind Production AI

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