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Artificial Intelligence, Machine Learning, Data Science and Deep Learning are completely changing the world we live in today. Companies around the world start to make sensible use of big data to influence business decisions and create our future. From video recommendations to autonomous driving, from stock prediction to weather forecasting, the AI revolution is everywhere. The AI stories podcast brings together some of the best Data Scientists, Machine Learning Engineers, Business leaders and researchers that are at the front of this revolution. They are here to talk about their career, how they arrive where they are, give advice and share their vision. They explain how they make use of AI in their daily routine, how they use algorithms to solve business problems and make the world a better place. They are here to share their stories: their AI stories. Hosted by Neil Leiser, Data Scientist at Iwoca. Follow Neil to learn more about career, Data Science, AI and Machine Learning. Linkedin: https://www.linkedin.com/in/leiserneil/ Twitter: https://twitter.com/LeiserNeil

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AI Stories

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

April 13, 2023 • Neil Leiser • Season 2 • Episode 13

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.

If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.

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