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FORMATION IA

Stratégie Data & IA pour les Secteurs Régulés

Repartez avec une feuille de route IA ancrée dans la conformité, qui accélère l'innovation sans exposition réglementaire.

Format
programme
Durée
20–32h
Niveau
practitioner
Taille de groupe
6–18
Prix / participant
€4K–€7K
Prix groupe
€25K–€55K
Public
CDOs, CIOs, and senior data leaders in finance, healthcare, insurance, and public sector organisations
Prérequis
Participants should hold a senior leadership role with accountability for data or technology; familiarity with their organisation's regulatory environment is assumed.

Ce qu'elle couvre

Ce programme prépare les Chief Data Officers et dirigeants technologiques des secteurs régulés à concevoir, prioriser et gouverner les initiatives IA dans le cadre du RGPD, de l'AI Act européen et des réglementations sectorielles (DORA, MDR, NIS2). Les participants travaillent sur des études de cas réels issus de la finance, de la santé et du secteur public pour cartographier leur maturité IA face aux contraintes réglementaires et construire une feuille de route séquencée. Les sessions combinent des cadres stratégiques et des ateliers pratiques sur la classification des risques, la diligence raisonnable envers les fournisseurs et les modèles opérationnels de gouvernance IA. Chaque participant repart avec un document de stratégie IA adapté au contexte réglementaire de son organisation.

À l'issue, vous saurez

  • Classify your organisation's AI use cases against EU AI Act risk tiers and identify mandatory compliance obligations for each.
  • Produce a scored AI maturity assessment that maps current capabilities against sector-specific regulatory requirements.
  • Design a governance operating model that assigns accountability for AI risk, ethics review, and incident escalation.
  • Build a sequenced 12-to-18-month AI roadmap that balances innovation priorities with compliance gate reviews.
  • Construct a due diligence checklist for evaluating third-party AI vendors under GDPR and sector-specific rules.

Sujets abordés

  • EU AI Act risk tiers and obligations for regulated entities
  • GDPR, DORA, MDR, and NIS2 intersections with AI deployment
  • AI maturity assessment and gap analysis for regulated contexts
  • Building an AI governance operating model (policies, roles, escalation paths)
  • Vendor and third-party AI due diligence frameworks
  • Sequencing an innovation roadmap within compliance constraints
  • Data quality and lineage requirements for auditable AI
  • Communicating AI strategy to boards and regulators

Modalité

Delivered as a blended programme across four half-day sessions (remote or in-person), with async pre-work including a regulatory self-assessment questionnaire and required reading pack. Approximately 60% of time is hands-on: case workshops, peer critique of draft roadmaps, and a final strategy presentation. Materials include annotated EU AI Act summaries, sector-specific compliance matrices, and a reusable AI governance canvas. A dedicated Slack or Teams channel supports peer exchange between sessions.

Ce qui fait que ça marche

  • Securing executive sponsorship and a named AI risk owner before the programme starts, so governance decisions made during training have a clear path to ratification.
  • Running the maturity assessment against real, in-flight projects rather than hypothetical scenarios to produce immediately actionable output.
  • Including Legal and Compliance representatives alongside CDO-level participants so strategic and regulatory perspectives are integrated from day one.
  • Scheduling a 90-day review checkpoint after the programme to pressure-test the roadmap against any regulatory updates or business changes.

Erreurs fréquentes

  • Treating compliance as a final gate rather than embedding it as a design criterion from the first use-case selection.
  • Conflating GDPR data-protection obligations with the broader risk-based requirements of the EU AI Act, leading to incomplete governance coverage.
  • Building an AI strategy in the CDO office without alignment from Legal, Risk, and the Board, resulting in a roadmap that stalls at approval.
  • Selecting high-value but high-risk AI use cases first, creating regulatory friction that poisons organisational appetite for subsequent initiatives.

Quand NE PAS suivre cette formation

This programme is not the right fit when an organisation has not yet identified any concrete AI use cases — in that scenario, a broader AI literacy or ideation workshop should come first before investing in a governance-heavy strategy programme.

Fournisseurs à considérer

Sources

Cette formation fait partie d'un catalogue Data & IA construit pour les leaders sérieux sur l'exécution. Lancez le diagnostic gratuit pour voir quelles formations sont prioritaires pour votre équipe.