Conference
Maison Internationale, 17 Boulevard Jourdan, 75014 Paris
Welcome to the CfP page of the second edition of Forward Data Conference, an event dedicated to accelerating careers, growing teams, and shaping the future of the French Data & AI community.
Our mission is to build a conference that serves as a dynamic knowledge-sharing hub, where every participant can find their place and thrive. We envision an environment where entire teams can gather, learn, and grow together, regardless of their individual profiles or areas of expertise.
We believe in the power of the T-Shape approach, where one can deepen their understanding in their main field, while also expanding their knowledge in other areas. This conference is an opportunity for all to broaden their horizons and explore new facets of the data world.
We also aim to foster a culture of best practice sharing, where teams can learn from each other's experiences, successes, and challenges. And we strive to break down silos and generate empathy among all practitioners: we are sure that by understanding and appreciating each other's roles and contributions, we can build a more cohesive and effective data community.
CfP and Talk Rules
- We welcome CfPs in both English and French
- Required level for any subject should be intermediate to advanced
- Submissions can focus on various aspects of the data world, such as Platform & Analytics Engineering, AI & ML Engineering, AI Strategy & Leadership, Data and AI Governance & Organization.
- First-time and diversity speakers are welcome. We are happy to provide guidance and help in preparing your talk for a limited number of proposals.
Review Process
- Your submission will be reviewed by the Forward Data Program Committee, composed of members of Hymaïa, Modern Data Network, Christophe Blefari, and other Data & AI Leaders from the ecosystem.
- Provide as much details as possible. Do not believe that if you know one of the organizers you can avoid providing a clear and impactful CfP, there are no shortcuts.
Formats
- Long Talk - 45 minutes
- Long Talk - For deep dive talks
- Regular Talk - 25 minutes
- Regular Talk
- Lightning Talk - 5 minutes
- For sharing inspirational ideas
- Workshop - 45 minutes
- For Deep Dive sessions with more interactions with the attendees
Categories
- Platform & Analytics Engineering
- Topics: DataOps, Data Quality, Platform Engineering, Analytics Engineering, Tracking, Data Modeling, AI Platforms Target persona: Data Engineers, Platform Engineers, Analytics Engineers, Data Analysts, BI Engineers
- AI & ML Engineering
- Topics: MLOps, AI Engineering, ML Engineering, Agentic AI, GenAI, LLMOps Target Persona: AI Engineers, Data Scientists, ML Engineers
- Data & AI Governance, Data & AI Scaling
- Topics: Scaling AI Adoption, AI Ops, Data Governance, AI Governance, Data & AI Regulations, Data Organizations Target Persona: Head of Data, VP Data, Chief Data & AI Officer, DPO, CEO, Data & AI Transformation Directors, Head of Data & AI Governance
- AI Strategy, Leadership and Transformation
- Topics: AI Transformation, AI adoption at scale, Data Leadership, Data & AI Product Management, Data Strategy, Target Persona: Head of Data, Data & AI Product Manager, VP Data, Chief Data & AI Officer, Lead Data & AI