AI-Ready Data: Why intelligent systems fail in production — and what it takes to make data usable for AI.
AI fails because it doesn’t have access to reliable, relevant, and timely data. AI-ready data is reusable, executable context assembled for a specific intent.
Guide to accuracy, precision, and recall
Accuracy tells you how many times the ML model was correct overall. Precision is how good the model is at predicting a specific category. Recall tells you how many times the model was able to detect a specific category.
A mage on the Hero’s Journey: a fantasy epic on how a startup rose from the ashes
Mage pivoted from an AI platform to an open-source data pipeline tool and is making a huge impact on the lives of data engineers around the world.
How to build a data pipeline using Delta Lake
Combine powerful database features with the flexibility of an object storage system by using the Delta Lake framework.