AI advice

March 13, 2025

According to Gartner, 85% of data projects fail, often due to a lack of a clear objective, poorly exploited data, or a lack of buy-in from business teams. To succeed, it is essential to define a specific business need, to structure and clean the data beforehand, and to involve the teams from the start. The tool must be integrated into existing processes and evolve with the company to ensure a lasting impact.

February 19, 2025

Generative AI is transforming the use of data in business, but it raises security questions. Rather than avoiding it, it is possible to use it with confidence thanks to proven methods: on-premise models for total control, secure APIs guaranteeing the confidentiality of requests, advanced encryption to protect exchanges, and hybrid approaches combining performance and compliance. The challenge lies in the intelligent integration of AI, ensuring data security at each stage.

August 9, 2024

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