1. • Crafting AI strategies aligned with business goals
   • Identifying organizational and personnel prerequisites
   • Evaluating competitive advantages through AI integration

2. • Understanding ML fundamentals, supervised and unsupervised learning
   • Practical knowledge of neural network operations and AI research trends

3. • Identifying and evaluating AI use cases through systematic methods
   • Developing AI application roadmaps and deployment plans
   • Expertise in customer journey mapping and process analysis

4. • Market introduction and scaling of AI solutions
   • Overcoming adoption challenges and ensuring operational success
   • Market monitoring and risk management

5. • Data analysis, preparation, and management for AI use cases
   • Programming basics for data handling and machine learning applications

6. • Knowledge of AI-related legal aspects, including data protection, contracts, and liability
   • Familiarity with AI regulations and compliance guidelines

7. • Proficiency in text and image-generating AI platforms
   • Efficient prompting techniques and AI-based content generation

8. • Advising on AI strategy implementation and stakeholder management
   • Conducting workshops on data management and AI integration

1. • Assessing the impact of global megatrends across industries and society.
   • Applying data-driven approaches for identifying and leveraging megatrends.
   • Utilizing the PWLG data matrix for holistic trend research.

2. • Understanding the fundamentals of future studies and scenario analysis.
   • Developing comprehensive future plans tailored to organizational needs.
   • Conducting system thinking and applying the "Lazy Eight" adaptive cycle for strategic planning.

3. • Transforming trends into actionable strategic, operational, and normative decisions.
   • Applying scenario analysis to forecast organizational challenges and opportunities.
   • Designing actionable future narratives based on scenario projections.

4. • Developing a strategic "Business Map" connecting organizational drivers, trends, customers, and partners.
   • Conducting contextual analysis using the "Context Map" to identify key operational fields.
   • Identifying value, potential, and drive levers critical for future organizational growth.

5. • Assessing organizational structures and internal capabilities for future adaptability.
   • Fostering individual readiness through digital skills and leadership development.
   • Aligning internal organizational identity with external market trends.

6. • Leveraging empirical research and theoretical insights for strategic foresight.
   • Conducting data triangulation and ensuring intersubjective traceability in research.
   • Ensuring the practical significance of research outcomes for strategic implementation.

7. • Building resilient partnerships and networks for sustainable growth.
   • Identifying ecosystem roles and leveraging coopetition (collaboration with competitors).

8. • Developing and pitching future plans through elevator pitches and strategic presentations.
   • Conducting business case analyses using collaborative tools like Miro.
   • Presenting trend analyses and business models with a focus on actionable insights.

This skill set reflects a comprehensive understanding of strategic future management, combining trend analysis, data-driven insights, strategic planning, and practical business application.