Martin Fowler argues that for AI agents to be effective, the data they interact with must be meticulously prepared. He emphasizes that current data practices are often insufficient for the demands of agentic AI, which requires data to be structured, reliable, and easily accessible. Fowler suggests a shift towards more robust data engineering principles to support the development and deployment of sophisticated AI agents. AI
IMPACT Highlights the critical need for advanced data engineering to enable sophisticated AI agent capabilities.
RANK_REASON Article by a known author discussing a technical aspect of AI development.
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