Press Coverage

Ed Keisling sees retrieval-augmented generation hitting its limits not because of model quality, but because of how enterprise data, evaluation, and retrieval pipelines are designed. As organizations move beyond proofs of concept, gaps in relevance, governance, cost and evaluability surface quickly.

In this interview with Frontier Enterprise, Progress Software’s Chief AI Officer examines how RAG behaves in real enterprise environments, and why production constraints reshape how retrieval, reasoning and model choice are evaluated.