Feature stores for real-time ML: Why and when to centralize feature logic
What it looks like to use feature stores in real-time machine learning systems, along with their pros and cons.
We develop models to provide the best experience and products, using Statistics, Artificial Intelligence, and creativity to predict our customers’ behaviors
What it looks like to use feature stores in real-time machine learning systems, along with their pros and cons.
A real-world experience to learn by doing, grow as a team, and start your career
Scaling predictive intelligence to accelerate Nubank’s AI-First vision
Practical principles for crafting clear, reliable prompts that scale AI collaboration
Drawing from years of running large-scale A/B tests across millions of customers and hundreds of metrics, our Experimentation Platform team shares three lessons from implementing CUPED at Nubank.
We explain how we use the LOTO method to understand the real impact of each transaction on financial models.
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