Is Your Model a Tease?

The Messy Reality of Enterprise ML

Your sophisticated deep learning model is only as good as the features it's built on. And in enterprise environments, those features are often playing hard to get. This series peels back the glossy exterior of enterprise ML to expose the messy reality of feature engineering in production.

Part 1: Java's Cold Shoulder

Exploring the tension between enterprise Java environments and modern ML systems.

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Part 2: The Tooling Nightmare

A deep dive into the fragmented ML tooling landscape and building meaningful connections.

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Part 3: The Dual Life Problem

Demystifying the dual nature of feature engineering between training and production.

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Part 4: Respect Your Features

Treating features as first-class citizens through versioning, documentation, and governance.

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