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Data science

Secure your machine learning platform

  Last week, the security community learned of a big cryptomining campaign that leveraged exposed Kubeflow clusters to mine Monero coins. This attack happened due to publicly exposed dashboards and has sparked a healthy conversation on the security of…

Robust MLOps with Open-Source: ModelDB, Docker, Jenkins and Prometheus

A few weeks back, I had the pleasure of giving one of the four talks on the ML in Product Talk at the Strata OReilly Superstream. Since the Strata in-person conference got canceled, the fantastic folks at OReilly organized an extremely well-attended…


Case Study: Data Science at LeadCrunch

One of the biggest pain-points in real-world machine learning is to consistently and rapidly putting models into production. When LeadCrunch[ai] approached Verta.ai, their data science team was only able to deploy about two models annually. After…


ML-Infrastructure: Build vs. Buy vs. Open-Source

Notes from TWIMLCon’s Unconference session

How to move fast in AI without breaking things

Model Versioning, Tracking, and Spreadsheets.


Introducing Verta.AI

Verta.ai Company Blog
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