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Focus Group 2 - AI, Data Literacy, and Analytics

18 March 2026 (11:00 CET - 10:00 GMT)
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The deployment of Artificial Intelligence (AI) systems in the European health industry is reshaping workforce planning requirements in regulated environments. The safe and scalable use of AI depends not only on technical capability, but on clearly defined organisational competences in data literacy, analytics, AI validation and governance across functions.

As AI adoption accelerates, employers face increasing pressure to ensure that workforce capabilities align with regulatory obligations, accountability standards and lifecycle oversight requirements. Defining, structuring and developing these competences has become a strategic workforce planning priority.

Background

Employers increasingly require candidates with cross-functional competences that bridge technical capability with compliance requirements. The BRIGHTskills pan-European survey highlight a growing demand for specialist AI profiles, including AI integration experts, AI architects and roles combining AI expertise with regulatory and clinical trial-related knowledge.

Labour market forecasting predicts that 7 million AI-related workers will be required across the EU by 2027, with approximately 60% of the EU workforce expected to need some level of AI skills. However, the talent pipeline is narrowing as enrolment in STEM programmes has declined in nearly half of EU Member States, intensifying competition for qualified professionals.

At the same time, Article 4 of AI Act obliges providers and deployers of AI systems to ensure staff possess an appropriate level of AI literacy. Healthcare companies integrating AI systems into regulated environments must therefore demonstrate that AI systems are developed, validated, deployed and monitored by personnel with clearly defined and adequate competences.

Unlike broader digital infrastructure initiatives, AI deployment requires structured governance mechanisms, including risk categorisation, validation protocols, human oversight and lifecycle management processes. Gaps in these competences can expose companies to compliance breaches, reputational damage and operational disruption.

Purpose


To validate and prioritise the specific AI governance, literacy and data related competencies required to deploy and manage AI systems safely and compliantly in regulated healthcare environments.

Objective

The 45-minute online facilitated focus group will:

  • Define, prioritise, and differentiate the foundational and advanced AI- and datarelated competences required in regulated healthcare environments.
  • Identify critical skills gaps in AI validation, governance, risk classification, and lifecycle management in the health industry.
  • Assess organisational capability requirements linked to AI Act literacy obligations.

Output:

  • A structured and prioritised AI skills architecture supporting compliant and scalable AI system deployment.
  • Concrete recommendations for AI-focused training modules aligned with governance, validation and oversight requirements supporting ethical AI deployment.
Why attend:

Participants will gain insight into shared sector-wide AI workforce challenges and emergingcompetency priorities across the European health industry.

By contributing operational experience and regulatory perspectives, employers will directly shape the definition and prioritisation competences required for compliant AI deployment and life cycle management. The resulting BRIGHTskills implementation guidance will reflect business-led competency priorities and support alignment with AI literacy obligations under the AI Act.

This input will inform the development of targeted training provision and European skills strategies aligned with real business needs, regulatory obligations and workforce realities

Registration link:
Register here
Focus Group Topic:
Data Literacy, Analytics and AI
Geographic Scope:
Europe
Industry:
Medtech, Pharma/Biomanufacturing/Digital Health, Medical Supplies
Target Audience:
AI Systems and AI Governance Professionals Data Science & Analytics Professionals. Innovation and Product Development Professionals
Language:
English
Event format:
Online
Event duration:
1 hour
Pact for SkillsLeaderCo-funded by the European Union
Co-funded by the Erasmus+ programme of the European Union under Grant Agreement number 101187080. The European Commission support for the production of this publication does not constitute endorsement of the contents which reflects the views only of the authors. The Commission cannot be held responsible for any use which may be made of the information contained therein.
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