Course in AI-Driven Innovation

Turn artificial intelligence into a powerful tool for identifying opportunities, developing new ideas and creating greater value.

Nid: 30376
Syllabus
STUDY PLAN

1. AI-Driven Innovation

  • What innovation means and how to turn innovation into a systematic process
  • Innovation as a capability to create value
  • Types and forms of innovation
  • Case studies of innovative companies and organizations
  • Innovation opportunities driven by artificial intelligence

2. Innovation Workshop: AI Use Cases and Tools

  • Basic principles of artificial intelligence and how it works
  • Applications of AI in innovation processes
  • Development of a custom AI tool to address an innovation challenge
  • Introduction to agentic AI
  • Evolution of emerging technologies and new opportunities

3. Responsible Innovation: Judgment and Impact

  • Purpose and impact of innovation
  • Human-centered and responsible use of artificial intelligence
  • Key risks associated with AI adoption
  • Criteria for evaluating opportunities and making decisions
  • Innovation aimed at creating a positive impact

4. Developing the Human Capacity to Innovate

  • Personal capabilities that foster innovation
  • Behavioral and psychological factors associated with innovation
  • Customer-centered innovation
  • Stages of the innovation process
  • Development of human capabilities enhanced by technology

5. Differentiation as a Source of Innovation

  • Differentiation in competitive markets
  • Tools for identifying differentiation opportunities
  • Creating relevant value propositions
  • Analysing existing market offerings
  • Measuring the degree of differentiation of a value proposition

6. Innovation in Products, Services, and Business Models

  • Applying new technologies to create value
  • Identifying opportunities to reinvent products and services
  • Innovation in the value proposition
  • New technology-driven business models
  • From individual opportunities to organizational innovation

7. Technology Adoption and Dynamics of Change

  • Technology life cycles
  • Levels of technology adoption and ambition
  • Criteria for deciding when and how to adopt new emerging technologies
  • Tools to support technological transitions
  • Integrating technology into innovation strategy

8. Bulding an Innovation Culture

  • Key elements that foster a culture of innovation
  • Innovation as a shared organisational capability
  • Creating the conditions to drive and sustain innovation
  • Presentation and analysis of projects developed during the course
  • Integrating and consolidating learning