Conference
Le Shadok, Rue du Bassin d'Austerlitz, Strasbourg, France
English Version below (We are, of course accepting talks in english)
IA & Data Day est la première conférence technique autour des sujets de l'IA et de la Data dans la région Grand Est. La conférence qui se tient sur une demi-journée est ouverte aux professionnels, étudiants et amateurs, intéressés ou utilisateurs d'IA et de Data. Organisée par Capitale Dev, une association à but non lucratif, organisatrice d'autres événements majeurs (Devfest Strasbourg, BSides Strasbourg, Global Game Jam).
La conférence se déroule sur une demi-journée, de 09h00 à 13h00, sur deux scènes en simultanées.
Cette conférence est communautaire, 100 % à but non lucratif et l'équipe d'organisation n'est pas rémunérée.
English Version
IA & Data Day is the first technical conference around the topics of AI and Data in the Grand Est region. The half-day conference is open to professionals, students and hobbyists, interested in or users of AI and Data. Organized by Capitale Dev, a non-profit association that also organizes other major events (Devfest Strasbourg, BSides Strasbourg, Global Game Jam).
The conference takes place over half a day, from 09:00 to 13:00, on two simultaneous stages.
The conference is community-based, 100% non-profit, and the organizing team is unpaid.
Formats
- Conference
- 40 min. Including Q&A
Categories
- Tools
- Cutting-edge tools and frameworks for building, training, and deploying AI or data-centric solutions.
- LLM
- Insights into large language models, their architecture, optimization, and real-world AI applications.
- Generative AI
- Advanced techniques and use cases in generative AI, focusing on content creation, model training, and innovation.
- Opendata
- Leveraging open data for AI and data-driven projects, including sharing standards, tools, and best practices.
- Discovery
- Exploration of new methodologies, research breakthroughs, and innovative approaches in AI and data.
- Big Data
- Techniques for processing, analyzing, and scaling data on massive datasets
- Security and Vulnerabilities
- Addressing technical challenges in AI and data security, from system vulnerabilities to robust defense mechanisms.