[BONUS] Should you fix your data before launching any AI project ? Joseph Aoun x Margot Bletterie

In this 15-minute special, Margot Bletterie and Joseph Aoun dive into a hot debate:

Do you really need clean data to get started with AI?

From data audits and governance to generative AI’s tolerance for messy inputs, we unpack the reality behind the “garbage in, garbage out” rule and why waiting for perfect data might hold you back.

If you’re a business leader, data strategist, or AI curious mind wondering how to start smart with imperfect data, this conversation is for you.

🔍 Key topics:

– Data quality vs. speed of execution

– How generative AI changes the game

– Practical advice for launching AI projects today

– Why metadata and context matter more than ever

👥 No interview - just an honest, high-level discussion between two data leaders.

💡 Start where you are. But make sure you know where your data stands.

🔗 Know more about The AI Social Club: https://www.thesocialclub.ai/

🎧 Listen to the podcast on your favorite platforms:

- Spotify: https://open.spotify.com/show/7d3XmTgIhXqim1r63a1yWH

- Apple Podcasts: https://podcasts.apple.com/us/podcast/the-ai-social-club/id1793045703

-Youtube: https://www.youtube.com/@theAIsocialclub

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