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Practical, actionable frameworks for technology leaders navigating AI, data strategy, and digital transformation. Download free guides backed by real world experience.

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Data Engineering

Data Engineering for AI Systems

A responsibility based framework that reveals the six layers determining whether your AI systems can be trusted at scale. Stop treating model problems when the real issues are in your data infrastructure.

📄 17 Pages ⏱️ 30 Day Playbook Included
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Chris Seferlis

About the Author

Chris Seferlis

Director of Technology Strategy at Microsoft with 25+ years of experience helping enterprise organizations navigate data strategy, AI implementation, and digital transformation. Also a lecturer at Boston University, bringing real world insights to the next generation of technology leaders.

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