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Generative AI's transformative power underscores the critical need for high-quality data. In this session, Barr Moses, CEO of Monte Carlo Data, Prukalpa Sankar, Cofounder at Atlan, and George Fraser, CEO at Fivetran, will discuss the nuances of scaling data quality for generative AI applications, highlighting the unique challenges and considerations that come into play. Throughout the session, they will share best practices for data and AI leaders to navigate these challenges, ensuring that governance remains a focal point even amid the AI hype cycle.
Barr Moses is CEO & Co-Founder of Monte Carlo, a data reliability company and creator of the data observability category, backed by Accel, GGV, Redpoint, ICONIQ Growth, Salesforce Ventures, IVP, and other top Silicon Valley investors. Previously, she was VP Customer Operations at customer success company Gainsight, where she helped scale the company 10x in revenue and, among other functions, built the data/analytics team. Prior to that, she was a management consultant at Bain & Company and a research assistant at the Statistics Department at Stanford University. She also served in the Israeli Air Force as a commander of an intelligence data analyst unit. Barr graduated from Stanford with a B.Sc. in Mathematical and Computational Science.
As the founder of Atlan, Prukalpa is on a mission to enable better collaboration around data between business people, analysts and engineers. She has been awarded the Economic Times Emerging Entrepreneur for the Year, Forbes 30 under 30, Fortune 40 under 40, and Top 10 CNBC Young Business Women 2016. Prukalpa previously founded SocialCops, and is a TED Speaker.
George founded Fivetran to help data engineers simplify the process of working with disparate data sources. He has grown Fivetran to be the de facto standard platform for data movement. In 2023, he was named a Datanami Person to Watch. George has a PhD in neurobiology.

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