Retrieval-augmented generation (RAG) was formalised as an architectural pattern in 2020 by Lewis et al. at Facebook AI Research, and has since become the dominant approach for deploying large language models on organizational knowledge bases.

Self-serve analytics, implemented correctly, compresses decision cycles significantly. Research from MIT Sloan Management Review found that companies using data analytics to guide decisions are 5% more productive and 6% more profitable than those that do not.

Data readiness is not about having the most data. It is about having the right data, in the right shape, at the right time. McKinsey's 2025 State of AI report found that nearly two-thirds of surveyed organisations have not yet begun scaling AI across the enterprise.