Moreover, AI-Driven Business Models Master is tightly linked to the AI Business Transformation Hub, a research and innovation lab that supports real-world projects, giving participants access to a dynamic learning ecosystem built on both academic learning and hands-on experience.
 

AI in Strategy

• AI-foundations & innovation potential
  This module offers an overview of artificial intelligence, focusing on its core principles and its role in driving innovation across industries. Emphasis is placed on AI as a catalyst for transformative growth and competitive advantage.
   
• Strategy & entrepreneurship: defining AI-driven business models
  The focus is on the evolution of business models, from traditional to digital and AI-Driven forms.
   
• AI investment landscape
  It analyses investment approaches and includes real-world case studies to illustrate strategic AI investments.
   
• Responsible AI: ethical considerations
  It is about ethical challenges related to AI, including bias, fairness, transparency, accountability, and societal impact.
   
• Building AI-driven businesses: legal issues, regulation and implementation constraints
  It covers the legal and regulatory framework for AI businesses, from compliance and data privacy to risk and change management for the adaptation to AI.
   
• Future trends in AI & business model
  It explores emerging AI trends and their impact on business models.

AI in Action

• Sector-specific innovations and process transformation
  This module presents sector-specific case studies showcasing the application and impact of AI-Driven business models in real contexts.
   
• AI & talent management: from recruitment to retention
  This module explores how AI transforms HR functions, from recruitment to retention.
   
• AI & marketing: reinventing customer engagement
  It explores AI's role in transforming marketing and customer experience enhancement through predictive analytics approach and automation.
   
• AI & operations: reshaping business processes
  This module focuses on using AI to optimise operations, improve decision-making, and drive efficiency.
   
• AI & robotics in sector-specific businesses
  It explores how AI and robotics are applied in sectors such as manufacturing, healthcare, logistics, and retail.
   
• Managing the AI-Driven organisational evolution
  It covers strategies for AI integration, innovation culture, and managing adoption challenges across teams and processes.

• Chief AI officer
• AI-driven innovation manager
• AI-driven risk & ethics manager
• AI-driven supply chain manager
• AI-driven strategy consultant
• AI business models designer
• Project manager (on AI projects)
• AI-driven senior analyst
• AI-driven startup-founder