Should you fix your data before launching any AI project?

[PODCAST] Joseph Aoun x Margot Bletterie 3
Joseph Aoun - Data and AI solutions Director (UAE)

By Joseph Aoun - Data and AI solutions Director (UAE)

In 18 July 2025

Do you really need clean data to start with AI? Joseph Aoun weighs in.

In a fast-paced 15-minute podcast episode hosted by Margot Bletterie, our Data and AI solutions Director (UAE), Joseph Aoun, joins the conversation to tackle a question that’s increasingly relevant for data leaders: Is clean data truly essential before launching AI initiatives?

The episode cuts through common assumptions around data readiness and explores how generative AI is changing the rules of the game.

“Many organizations are delaying AI projects in pursuit of perfect data” explains Joseph. “But in today’s environment, that mindset can become a blocker.”

Together, Margot and Joseph explore the trade-offs between data quality and speed of execution, why metadata and context are often more critical than completeness, and how AI, especially generative models, can perform surprisingly well with imperfect inputs.

Key topics discussed:

  •  Data quality vs. execution speed: Why “perfect data” may not be worth the wait
  • How generative AI reshapes expectations for input quality
  • Practical advice for launching AI initiatives with the data you have today
  • The growing importance of metadata and context in AI projects

 

Start where you are, but know where your data stands.

[PODCAST] Joseph Aoun x Margot Bletterie

PODCAST

#2 Joseph Aoun - Should you fix your data before launching any AI project?

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