AI Workshop for Industries Training in Copenhagen, Denmark

This workshop introduces participants to Artificial Intelligence (AI) and its practical applications in industrial environments. The focus is on real-world use cases, implementation challenges, and how to begin or accelerate AI adoption in business operations.

Introduction and Workshop Objectives

• Welcome and icebreaker
• Industry trends driving AI adoption
• Goals and expectations for the day

AI Basics for Industry Professionals

• What is AI? What it is not
• Key terms: Machine Learning, Computer Vision, NLP, Generative AI
• The difference between AI, automation, and analytics

Industrial Use Cases of AI

• Predictive maintenance
• Defect detection and quality assurance
• Demand forecasting and inventory optimization
• Process automation and robotics integration

AI in Action – Case Studies

• Interactive walkthrough of successful AI implementations
• Lessons learned from real industrial projects
• Industry-specific examples (user can choose: manufacturing, energy, logistics, etc.)

Getting Started with AI

• How to identify good AI opportunities
• Data readiness and infrastructure basics
• Build vs. buy: in-house, vendor, or hybrid

Risks, Ethics, and Challenges in AI

• Bias, transparency, and explainability
• Common challenges in AI adoption
• Change management and upskilling teams

Workshop Activity: AI Opportunity Mapping

• Participants break into teams by department or function
• Identify 1–2 use cases where AI could add value
• Share findings with the larger group for discussion

Wrap-Up and Next Steps

• Recap of key insights
• Questions and answers
• Suggested follow-up actions
• Feedback and closing remarks