AI is constantly redefining the way we design our products. Every week, new functionalities are launched, driven by promises of automation, personalization and performance.

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But for product, tech and data decision-makers, one strategic question remains: How do you integrate an AI brick into your product in a reliable, scalable... and sovereign way?

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On April 29, we'll be diving into a real-life use case: building an AI functionality capable of identifying and extracting data from complex documents (invoices, tables, reports), without the need for external LLMs!

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This solution was developed 100% in-house, without recourse to third-party services, in response to an issue that is increasingly central to our prospects: total control of sensitive data and the sovereignty of AI processing.

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Our speakers :

• Julien Hurault, Founder of boringdata.io & Data Engineer
• Jeremy Arancio, Machine Learning Engineer

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On the program:

• What are the key steps to integrating high-impact AI functionality?
• What technical and organizational choices guarantee performance and safety?
• What are the best methods and tools for building an in-house, scalable AI solution?

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This webinar is aimed at experts looking for concrete examples and feedback on the strategic integration of AI into their products.

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Short, pragmatic, actionable format

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