Data-Native AI Agents: Why Agents Must Move to Your Data

This blog post discusses the limitations of current enterprise AI implementations which typically involve connecting large language models (LLMs) to existing data without fully utilizing the potential of data-native AI agents. The author argues for a shift towards approaches that allow AI agents to work more closely with data, highlighting how this can improve the effectiveness and efficiency of AI in enterprise settings.