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Manasi Vartak

Manasi Vartak

Founder and CEO at Verta; PhD in computer science from MIT CSAIL; Creator of ModelDB, open-source system for machine learning model management.

Recent Posts

How to Lead Data Science Teams to Collaborate Effectively

To motivate others to achieve the team’s mission and vision, you should possess the potential to motivate the inner prodigy inside you. Yes, you should be willing to learn and guide others to be a learner for life. That is the spirit of the most looked upon…

Serverless for ML Inference on Kubernetes: Panacea or Folly?

This blog post rounds off of our blog series on Serverless Inference for Machine Learning models accompanying our KubeCon 2020 talk: Serverless for ML Inference on Kubernetes: Panacea or Folly? - Manasi Vartak, Verta Inc. We'll be hosting a live replay on…

Model Management & Operations Platform for Production Machine Learning

Today, I’m thrilled to announce the formal launch of the Verta Model Management and Operations platform, and Verta’s $10M Series A funding led by Intel Capital. With the Verta Platform, we help data science teams to tame the chaos of brittle and fragmented…

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…

Making your Scikit-learn models reproducible with ModelDB 2.0

At Verta, we ran our first ModelDB 2.0 webinar last week and it was a lot of fun. This blog post is a recap of the hands-on tutorial part of the webinar. For the full webinar content, check out the webinar recording on the Verta Youtube channel and the…

LeadCrunch-case-study

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, their data science team was only able to deploy about two models annually. After successfully…

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

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.

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Introducing Verta

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