Building an ML Experimentation Platform for Easy Reproducibility Using lakeFS

Vino SD
April 21, 2023

MLOps is mostly data engineering. As organizations ride past the hype cycle of MLOps, we realize there is significant overlap between MLOps and data engineering. As ML engineers, we spend…

Case Studies

Paige.ai, lakeFS and dbt: Transforming AI-Driven Cancer Diagnostics

Sander Hartlage (Paige) and Sid Senthilnathan (Paige), Vino SD
January 23, 2023

lakeFS enabled us to streamline and run 200+ dbt models in production, increase data deployment velocity, efficiently reproduce ML experiments, increase productivity of the data teams and adhere to FDA…

How to Develop Spark ETL Pipelines in Isolation

Amit Kesarwani, Vino SD, Iddo Avneri
October 26, 2022

You’re bound to ask yourself this question at some point: Do I need to test the Spark ETLs I’m developing? The answer is yes; you certainly should – and not…

Case Studies

How Karius Used lakeFS to Meet FDA Compliance in Disease Diagnostic Research

Vino SD
August 10, 2022

A brief study, in collaboration with Karius team, on how lakeFS enabled Karius to run their experimental studies effectively. Karius is a Forbes AI-50 listed life sciences company based in California,…

Data+AI Summit 2022 Recap: Top 6 Industry trends and 9 major announcements!

Vino SD
July 18, 2022

It was 27th June 2022. San Francisco was bustling with 5000+ data folks from around the world to attend the Data & AI summit live after two years. Four days…

Building an ML Experimentation Platform for Easy Reproducibility Using lakeFS

Paige.ai, lakeFS and dbt: Transforming AI-Driven Cancer Diagnostics

How to Develop Spark ETL Pipelines in Isolation

How Karius Used lakeFS to Meet FDA Compliance in Disease Diagnostic Research

Data+AI Summit 2022 Recap: Top 6 Industry trends and 9 major announcements!

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