“AI’s problems have never been the LLM’s problems. AI’s problems are data flow problems.”

AI at scale demands stronger data, architecture, governance and cost discipline. Rohit Vyas, Director, Solutions Engineering, Confluent As enterprises move AI from experimentation into operational environments, the technology challenge is shifting from model selection to the infrastructure surrounding those models. Data freshness, streaming architecture, governance, cost optimisation and deployment flexibility are becoming critical to whether AI can deliver measurable business value.