“If you have exact questions, you need to be able to provide exact answers,” Krishnamurthy told us. “But I think inexact questions are what people are also going to expect. When you think about agentic workloads and operational databases, you want to be able to ask more flexible questions.” An example might be a natural language query that takes into account context, such as previous interactions.

Krishnamurthy described “AI native infrastructure,” including vector indexing, text indexing, and graph technology where “you combine structured and unstructured data, you have to be operating in terms of inexact results and data quality.”