During the 5th edition of IA Gén, organized by the Innovation Makers Alliance (IMA), we had the opportunity to share a strong conviction: in the era of generative AI, data quality is the key to success.

Often, the focus is on intelligent agents, sophisticated prompts, or the latest models. But before diving into these technologies, a fundamental question must be asked: are our data reliable, consistent, and up to date?

Without a solid knowledge base, even the most advanced model can produce inaccurate or inconsistent results. That’s why, at K-AI, we help companies make their data “AI-Ready”:

• 🔍 Automatic inconsistency detection: quickly identify anomalies or duplicates.

• ⚙️ Intelligent cleaning: correct and harmonize information to ensure consistency.

• 🚀 Rapid updates: make sure data remains relevant and up to date.

The result? Controlled, reliable data ready to be safely leveraged by AI. This allows companies to maximize the impact of their AI projects while minimizing the risk of costly errors.

We sincerely thank the IMA and all participants for the richness of the discussions. These moments of exchange are essential for collectively building effective and responsible artificial intelligence. 🙌