This interview features Vishal Shukla, CEO of Rysun Labs, discussing the practical transition of Generative AI from a novelty to a functional enterprise tool. He emphasizes a data-first approach, arguing that robust data engineering and ”contextual AI” are more critical for success than the underlying models themselves. Using a ”burger analogy,” Shukla outlines a five-layer architectural framework consisting of data foundations, context, intelligence, orchestration, and experience. The discussion highlights specific challenges in healthcare and retail, such as the critical need for low latency and the elimination of data silos. Ultimately, the source advocates for pragmatic AI adoption centered on measurable ROI and a strong human-in-the-loop feedback system.