The Big Haulers Put $100M Behind AI. Almost None of the Margin Comes From the Model.
Waste Connections, Republic and GFL just disclosed real AI waste management ROI numbers. An engineer reads the margin math and finds where it breaks.
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Nina Chowdhury
AI, Data & Process Innovation. Machine learning engineer building computer vision, sensor networks, and data-driven process optimization for modern waste processing. Covers anything where data shapes the operation — from real-time control loops to retrofit feedback. Published by Renewable Waste Energy.
Your Waste Analytics Dashboard Is Only as Honest as Its Worst Sensor
Real-time waste analytics fails at the data layer, not the dashboard. An engineer on what the screen shows, where the numbers break, and what it costs.
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The Model Is the Easy Part: What Actually Breaks Industrial AI Projects
Most industrial AI projects fail, and rarely because the model is weak. After building OWI, here's what actually breaks them: data, sensors, and integration.
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