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Thursday May 28, 2026 09:45 - 10:15 CEST
Limited Capacity full
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Scaling complex AI deployments demands overcoming severe latency and hardware bottlenecks, especially for resource-intensive GenAI and Deep Learning models. This session dives into the OpenVINO toolkit to demonstrate how you can seamlessly bridge the gap between trained models and high-performance production environments. You will learn practical, code-level strategies to convert, optimize, and accelerate inference for both generative and conventional AI models across today's most popular frameworks.
Speakers
avatar for Ahmed Sanaa

Ahmed Sanaa

Data Scientist, ADEO Services
I am a Senior Data Scientist at Adeo Productions (AI Factory squad) and a graduate of Télécom Paris. With over 6 years of experience, I specialize in the end-to-end delivery of AI solutions—from strategic scoping to full-scale deployment. My expertise spans Machine Learning, Deep... Read More →
avatar for Adrien Legrand

Adrien Legrand

SFEIR
ML Engineer chez Sfeir depuis début 2024, je suis titulaire d'un doctorat en ML appliqué.
Passionné par l’IA au sens large, j’ai eu l’occasion de travailler aussi bien sur une variété de POCs, allant du clustering d’images à la détection d’anomalies, que sur l’industrialisation de pipelines. J’aime lever des questions, des haltères, le coude... Read More →
Thursday May 28, 2026 09:45 - 10:15 CEST
🤖 DATA/AI ARENA 135 Rue Sadi Carnot, Ronchin, France

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