Everyday AI Podcast – An AI and ChatGPT Podcast

EP 475: AI Without Mistakes: How Good Data Makes It Happen

13 snips
Mar 5, 2025
Guest
Barr Moses
Barr Moses, Co-founder and CEO of Monte Carlo, dives into the pivotal role reliable data plays in AI success. He emphasizes that everyone's leveraging AI, but data quality is what sets businesses apart. Discussion includes the challenges and opportunities for smaller organizations in utilizing data effectively. Barr highlights how generative AI can transform sectors like finance and sports by enhancing data quality. He also covers the necessity of data observability to tackle issues proactively, urging businesses to treat their data as a competitive advantage.
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ADVICE

Data Reliability over Bad Data

  • Prioritize reliable data over bad data, especially for generative AI.
  • Having no data is better than using inaccurate data for AI models.
INSIGHT

Importance of Data Accuracy

  • Data accuracy is now crucial due to increased data usage and generative AI's reliance on it.
  • Inaccurate data can damage brand reputation and lose customers.
ANECDOTE

Google's Superglue Pizza

  • A Google search about cheese slipping off pizza resulted in a suggestion to use superglue.
  • This highlights the potential for LLMs to provide incorrect or dangerous information.
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