Data-Centric ML

Dataset construction, data quality, synthetic data, evaluation benchmarks, and data ops.

4 articles

Chidozie ManagwuFounding writerAug 219 min read

Why Most Split-Payment Systems Fail at the Business Layer

Most payment systems are designed for checkout.

AI Fundamentals AI Safety & Alignment Federated & Distributed Learning Data-Centric ML Causal Inference

Adejoke AFounding writerAug 1911 min read

Why AI Projects Fail Before Model Training Begins

AI success depends less on the model you choose and more on the data foundations, governance, and business context you build before training starts.

AI Fundamentals Data-Centric ML AI Safety & Alignment Agents & Tool Use Foundation Models

Ula YousefAug 176 min read

Machine Learning In Production , MLOps & Machine Learning Lifecycle Part1

The greatest trick the Devil ever pulled was convincing the world that a machine learning project lifecycle ends when achieving high accuracy. And like that… he’s gone.

MLOps & Infrastructure Data-Centric ML Applied ML AI Fundamentals

HALIMAT MUSAAug 24 min read

The Hidden Cost of Annotation: Why Data Quality Is Still AI’s Biggest Bottleneck in 2026

I thought the biggest challenge in building an AI system would be the model. I discovered the real bottleneck starts much earlier, with the data.

Computer Vision AI Fundamentals Generative AI Data-Centric ML Applied ML