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

  • Mar 5 2025
  • Length: 32 mins
  • Podcast

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

  • Summary

  • Send Everyday AI and Jordan a text message

    Your data is your moat. Everyone's got AI now. Find out how reliable data can make your competitive edge happen. Barr Moses, Co-Founder and CEO of Monte Carlo, joins us to discuss.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Barr questions on AI and data

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. the Importance of Data
    2. Challenges and Opportunities in Leveraging Data
    3. Adoption of Data Practices
    4. Data Use Case Examples
    5.Generative AI, LLMs, and Data Integration

    Timestamps:
    00:00 Empower AI proficiency with daily insights.
    06:02 Data observability ensures reliability and issue resolution.
    07:15 Understanding data's importance is crucial for businesses.
    13:07 Personalized AI relies on unique enterprise data.
    15:20 Large enterprises struggle with data consistency, smaller teams advantage.
    19:42 Generative AI analyzes sports data for insights.
    22:56 Personalized financial products using reliable data.
    23:56 Credit Karma Intune boosts external and internal productivity.
    28:02 Peak data reached; synthetic data becomes crucial.
    30:36 Recap available on your everydayai.com.

    Keywords:
    Generative AI, Data Usage, Data Accuracy, High-Quality Data, AI Implementation, Brand Reputation, Small Business Data Management, Data Systems, Trusting Data Sources, Everyday AI Podcast, Microsoft Partnership, Barr Moses, Monte Carlo, Data Downtime, Data Issues, Data Products, Data Observability, Data Adoption Forecast, Smaller Team Advantages, Microsoft WorkLab Podcast, Data Quality Monitor Recommendations, AI and Data Integration, Personalized Financial Products, Coding Assistants, AI for Compliance Reporting, Large Language Models, Synthetic Data, Real-World Data, Data Governance, Data Quality Management.

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