41 min

#222 [Radar Recap] Scaling Data Quality in the Age of Generative AI DataFramed

    • Technology

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

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

41 min

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