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Barr Moses - CEO of Monte Carlo - DataOps & Data Observability #31
Apr 13, 2023
Barr Moses, Co-Founder and CEO of Monte Carlo, shares her inspiring journey from data strategy at Bain to building a pioneering data observability platform. She discusses her unique experiences in the Israeli Army and highlights the importance of teamwork and feedback in data science. The conversation dives into the critical need for reliable data, illustrated by a staggering $100 million loss due to a data error. Barr also explains the five pillars of data observability and emphasizes how data accuracy is vital for trust, especially in an AI-driven future.
56:16
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Quick takeaways
- Barr Moses highlights the importance of early experiences with data accuracy and teamwork gained during their time in the Israeli Army.
- The influence of Barr's parents fostered a lifelong passion for mathematics and data analysis through enjoyable and relatable problem-solving activities.
Deep dives
The Journey into Data Science and AI
The speaker shares their early experiences with data science and AI, highlighting a lifelong passion rooted in their childhood. Growing up in Israel, they were influenced by a physics professor father and an entrepreneur mother, which sparked an interest in the scientific method and data analysis. Their journey began in the Israeli Air Force, where they worked with data analysis for operational units, further solidifying their commitment to accuracy in data. This foundational experience paved the way for a formal education in mathematics and statistics at Stanford, where their fascination with data deepened, especially through engaging projects that intertwined math with real-world applications.
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Discover
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