Road map to a private and souvereign Data & AI cloud – Data Architecture and Implementation [English spoken]

Antoine will take us on a journey that began two years ago with a simple yet ambitious question: can we build a truly scalable, sovereign Data & AI platform that genuinely meets market needs? Building on more than 20 years of consultancy and training experience, Antoine and his team set out to design, build and deploy their own sovereign Data & AI platform. In this session, we will share our learnings and walk you through the blueprint of that platform – without disappearing into deep technical detail.
Antoine will highlight the key challenges they faced and how they successfully arrived at a working solution, including:

• Scalability using Kubernetes
• Managing security
• Public or Private Cloud, or both
• Finding the right balance between open-source and closed-source technologies
• Software as a Service & Product as a Service.

He will also introduce the main solution components that emerged from this journey:

• Data warehouse automation
• Data Catalog
• Data Virtualisation
• Databases and Data Lake
• AI solutions that bring AI to the data.