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, 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 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. Links Mentioned in the Show: Rewatch Session from RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile app Empower your business with world-class data and AI skills with DataCamp for business
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George Fraser
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George Fraser is the co-founder and CEO of Fivetran, a global leader in modern data movement. After a career as a neuroscientist, he leveraged his analytical background to build Fivetran with Taylor Brown in 2012, following the Y Combinator accelerator. Under his leadership, the company has grown from a startup into a global enterprise valued at $5.6 billion, serving thousands of companies worldwide to automate data workflows. He holds a PhD in Neurobiology from the University of Pittsburgh and a BS in Cognitive Science and Biology from Carnegie Mellon University.
Bio from: Databricks DATA + AI Summit 2023
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