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Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI Platform provides an integrated experience encompassing model development, MLOps, collaboration, and governance. With Domino, global enterprises can develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.

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Data Science

Data Quality Analytics

By Domino

Perspective

Stakeholder-Driven Data Science at Warby Parker

By Domino

Data Science

Answering Questions About Model Delivery on AWS at Strata

By Domino Data Lab

Data Science

Recommender Systems through Collaborative Filtering

By Manojit Nandi

Data Science

Model Deployment Powered by Kubernetes

By Alexandre Bergeron

Data Science

Sampling Based Methods for Class Imbalance in Datasets

By Manojit Nandi

Data Science

The Cost of Doing Data Science on Laptops

By Eduardo Ariño de la Rubia

Data Science

Data Science on AWS: Benefits and Common Pitfalls

By Nick Elprin

Data Science

Principles of Collaboration in Data Science

By Eduardo Ariño de la Rubia

Data Science

Introducing the Data Science Maturity Model

By Mac Steele

Data Science

Model-Based Machine Learning and Probabilistic Programming in RStan

By Daniel Chalef

Data Science

Providing Digital Provenance: from Modeling through Production

By Eduardo Ariño de la Rubia

Product Updates

Better Knowledge Management for Data Science Teams

By Nick Elprin

Data Science

“Unit testing” for data science

By Nick Elprin

Data Science

A/B Testing with Hierarchical Models in Python

By Manojit Nandi

Data Science

Faster model tuning and experimentation

By Nick Elprin

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