Barr Moses - CEO of Monte Carlo - DataOps & Data Observability #31

AI Stories

English - April 13, 2023 09:00 - 56 minutes - 38.7 MB
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Previous Episode: Parul Pandey - Kaggle Grandmaster & ML for High Risk Applications #30

Next Episode: Rémi Ounadjela - Data Science at TikTok, Google, Amazon & How to get into Big Tech #32

Our guest today is Barr Moses, Co-Founder & CEO of Monte Carlo, the first end-to-end data observability platform.

In our conversation, we first talk about how Barr got into the field and the early influence of her parents. Barr shares her previous experiences working with data in the Israeli Army and working on data strategy at Bain.

We then dig into Monte Carlo and the new field of DataOps along with data observability and its 5 pillars . Barr explains how and why she founded this company and walks us through the key challenges she faced.

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To learn more about Monte Carlo: https://www.montecarlodata.com/

Follow Barr on LinkedIn: https://www.linkedin.com/in/barrmoses/

Follow Neil on LinkedIn: https://www.linkedin.com/in/leiserneil/

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(00:00) : Intro

(01:18) : How Barr got into Data Science

(03:09) : Data in the Israeli Army

(08:24) : Influence from her parents

(11:54) : Data Strategy and consulting at Bain

(19:10) : How to quickly become an expert

(25:30) : What is Monte Carlo

(32:00) : DataOps & 5 pillars of data observability

(43:54) : Challenges when building a tech company

(49:57) : Mistakes and career advice