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The Power of Semantically-Meaningful and Human-Readable Representations As AI and data science leaders, we often focus on sophisticated algorithms and cutting-edge technologies. However, one fundamental yet frequently overlooked aspect can make or break your AI initiatives: how your data is represented. Let me share a practical guide that will ...

It’s 11 PM on a Sunday. You’re putting the finishing touches on a critical project, convinced that this extra push will finally get it over the line. Sound familiar? I’ve been there too many times. Despite these heroic efforts, I kept encountering a puzzling pattern: working harder didn’t consistently lead to better outcomes. Will Larson captur...

Picture this: A data scientist spends hours configuring YAML files, debugging pipeline errors, and switching between five different tool UIs just to test a simple feature idea. Meanwhile, an analyst in Excel has already cleaned their data, built a model, and presented insights to stakeholders. Something’s wrong with this picture – and it’s not t...