Data Engineering

A Clear-Eyed Look at Emotion AI: Current Reality and Future Questions

AI/ML, Data Engineering /

The tech world loves a bold prediction. If you’ve been following the AI space lately, you’ve likely seen headlines proclaiming that machines will soon understand human emotions better than we do. Having researched and implemented AI systems, I’ve learned to look past the hype and focus on what’s actually possible today. The Reality of Emotion […]

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Data Teams Break When Models Crash​

Data Engineering /

Engineers aren’t the problem…A recent McKinsey study revealed that misalignment between technical teams and business stakeholders causes more project failures than technical challenges. Here’s what I’ve learned leading cross-functional data initiatives:Translation Isn’t Optional ↳ Your data engineers speak schemas and pipelines, while your business team speaks KPIs and outcomes. When a business requests “real-time analytics,”

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