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AI has moved well beyond the chatbot phase. For enterprise organizations, the real conversation is shifting toward digital workers, agentic workflows, stronger governance, and the data foundations needed to make AI useful inside the business.
In this episode of Human Coded, Quinn sits down with Jay Mason and John McCauley from M&S Consulting to explore how the AWS and AI conversation has changed since the early days of AI experimentation. They discuss why many organizations are still stuck in proof-of-concept mode, what it takes to move toward real business value, and why data readiness remains one of the biggest factors in successful AI adoption.
The conversation also digs into the growing role of AI agents, how companies should think about security and permissions, and why human oversight still matters when automation enters critical business workflows. From RAG and data labeling to Bedrock, EC2, VPCs, and zero ETL strategies, Jay and John help translate the technical pieces into a bigger question: how do organizations build AI systems that actually improve the way work gets done?
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An M&S Consulting Podcast
