Data & AI Architecture - Cloud Design, Security and Performance

We put in place a clear governance framework that defines the roles, responsibilities and processes around data: who creates it, who manages it, who consumes it and according to what rules. Thanks to Azure Purview, we establish a comprehensive Data Catalog, which identifies sources, traces transformations (Data Lineage) and ensures RGPD and AI Act compliance. This governance ensures that data is reliable, documented and controlled, creating a solid foundation for BI and AI projects.

We design modern Data environments where data structuring and traceability are at the heart of performance. The Data Lake centralizes raw data, while the Data Warehouse makes it usable via optimized models. Each layer is governed by quality, security and update rules, ensuring the consistency and permanent availability of information.

Our experts implement robust ETL/ELT pipelines to collect, transform and load data automatically. We ensure the consistency, quality and traceability of flows between your different systems (ERP, CRM, API, IoT). Automating these flows reduces manual errors, speeds up information availability and makes your analyses more reliable.

We design artificial intelligence-ready environments, integrating machine learning, NLP (natural language processing) or computer vision models. These infrastructures enable large-scale testing, deployment and monitoring of AI models. They also guarantee the compliance, performance and security of your AI applications over time.