Blog
Get to know the team behind the Enterprise AI Lab!
Our data scientists publish about their latest projects
(in and out of the Lab) in Data from the Trenches.
How to Measure Dataset Similarity
Understanding the Impact of Drift on ML Models
Jun 16, 2022 / Read More
Diversity in Outcome Optimization of ML Models
ML outcome optimization is the process of finding optimal feature values that give the model prediction minimum (or maximum) over a defin...
Jun 02, 2022 / Read More
I Can’t Believe It’s Not Better — Active Learning Flavor
This is the story of a research project that didn’t quite make it. As every research project, it started with what seemed like a good and...
Jun 10, 2021 / Read More
Causal Inference on Observational Data: It's All About the Assumptions
Previously, we showed that uplift modeling, a causal inference success story for businesses, can outperform more conventional churn model...
Jun 03, 2021 / Read More
Enterprise Causal Inference: Beyond Churn Modeling
As machine learning practitioners, we often want to investigate what-if scenarios from our newly trained ML models. For example (and perh...
Apr 28, 2021 / Read More