Data & IA

Our Data & AI services

• Data Governance

  

  Structure, secure and enhance data reliability to build trust, ensure compliance and maximise the value of your data. 

  • Clear definition of roles, processes and decision-making rules for cross-functional data governance.
  • Data catalogues and centralised metadata to make data visible, understandable and reusable.
  • Deployment of quality indicators, controls and remediation processes.
  • Visualisation of data flows and transformations to ensure transparency, traceability, auditability and regulatory compliance (GDPR, AI Act).
  • Organisation and management of data responsibilities to embed governance into day-to-day operations.
  • Management of reference data (Master Data Management) at enterprise scale. 

• Data Platform

  

  Adopt a modern, secure and scalable data platform to gain a lasting competitive advantage, optimise costs and support decision-making

  • Design and evolution of centralised data platforms for advanced analytics and AI.
  • Collection, integration and harmonisation of data from multiple sources.
  • implementation of storage and processing architectures adapted to data volumes and performance requirements.
  • Management of access rights and data security in line with the defined governance framework.
  • Creation of data products: design, publish and monetise data products via a platform, making them reusable across departments or partners and accelerating the distribution of your data’s added value.  

• AI Adoption

  

  Supporting business teams and stakeholders in adopting artificial intelligence in a pragmatic and sustainable way. 

  • Raising awareness among teams about the opportunities, limitations and ethical or legal considerations (EU AI Act) of artificial intelligence.
  • Identification and prioritisation of high-value AI use cases based on available data and business challenges.
  • Collaboration between business, IT and data teams to ensure effective and sustainable adoption. 

• Build for AI

  

  Design, develop, customise and industrialise production-ready artificial intelligence solutions. 

  • Provision of high-quality, governed and documented data for training and operating AI models. 
  • Design of customised AI models and applications aligned with identified business needs. 
  • Transition from prototype (PoC) to robust, scalable solutions integrated into the existing data ecosystem. 
  • Integration of traceability, quality and compliance requirements into the AI development lifecycle (MLOps). 

• Run for AI

  

  Operate, monitor and evolve your AI solutions over time to ensure performance, reliability and compliance. 

  • Monitoring and maintenance of AI models and applications in operational conditions. 
  • Monitoring the performance of production models to recommend more efficient or cost-effective alternatives aligned with our clients’ use cases 
  • Continuous adaptation of AI solutions to evolving business, regulatory and technological environments. 
  • Operation of AI solutions in compliance with governance, security and regulatory requirements.