The article discusses a significant shift in enterprise AI adoption, moving away from opaque ‘black box’ models towards ‘grounded’ or ‘retrieval-augmented generation’ (RAG) models. It explains that while powerful, traditional large language models (LLMs) often produce hallucinations, lack company-specific knowledge, and cannot cite their sources, making them risky for high-stakes business decisions. Grounded models address these issues by connecting the AI to verified, proprietary data sources like internal documents, databases, and real-time information. This allows the AI to provide accurate, traceable, and contextually relevant answers, which is critical for consulting firms and other enterprises where reliability and auditability are paramount. The piece highlights that this transition is driven by the need for trustworthy, actionable insights rather than just conversational ability. Read the full article at: https://venturebeat.com/ai/black-box-ai-isnt-enough-why-enterprise-consulting-is-moving-to-grounded