§16§This book analyses various models of value creation in projects and businesses by applying different forms of Artificial Intelligence in their products and services. First presenting the main concepts and ideas behind AI, Wodecki assesses different models of technology-based value creation based upon the analysis of over 400 case studies. This framework shows how AI may influence both value creation and competitive advantage (efficiency, creativity and flexibility) within a modern organization. Finally, a conceptual model is formulated to evaluate AI-supported in-company projects and new ventures and identify the key managerial and technical competencies required.§ §04§§1 Value creation and competitive advantage models.- 2 Artificial Intelligence Methods and Techniques.- 3 Influence of artificial intelligence on activities and competitiveness of an organization.- 4 Model for value generation in companies and cognitive networks.- 5 Summary and recommendations for future research.§ §02§§Andrzej Wodecki is a researcher at Warsaw University of Technology, Poland. With more than 15 years of experience in business information systems, human capital management and internet ventures, he combines industry practice with research on the influence of Artificial Intelligence on modern organizations.§ §04§§§2.1. Data, information and knowledge in contemporary information systems. 71§§2.1.1. Smart, connected products. 72§§2.1.2. Data sources. 74§§2.1.3. Data complexity. 77§§2.1.4. Data processing methods. 79§§2.1.5. Conclusion. 83§§2.2. Concept and basic methods of artificial intelligence. 85§§2.2.1. Definitions of artificial intelligence. 85§§2.2.2. Classification of environments. 91§§2.2.3. Solving problems by searching. 93§§2.2.4. Knowledge and planning in certain situations. 98§§2.2.5. Knowledge and planning in a state of uncertainty. 102§§2.2.6. Learning. 104§§2.2.7. Perception, communication and action. 107§§2.2.8. Creative and prognostic capabilities. 109§§2.2.9. Summary. 111§§2.3. The most important AI technologies. 113§§2.4. Cognitive Computing Systems. 118§§2 §04§.4.1. Features of Cognitive Computing systems. 119§§2.4.2. Components and principles of Cognitive Computing systems design. 121§§2.4.3. CC class systems as a new quality in management. 124§§2.5. Summary. 128§§3. Influence of artificial intelligence on activities and competitiveness of an organization 129§§3.1. Objectives, subject, method and quantitative analysis of research results. 129§§3.1.1. Objectives and the subject of research. 129§§3.1.2. Research methodology. 130§§3.1.3. Detailed analysis of value offered. 132§§3.2. Adoption of artificial intelligence systems in contemporary organizations. 139§§3.2.1. Investments in AI and adoption of this class of solutions. 139§§3.2.2. Key success factors. 142§§3.2.3. Barriers and risk factors. 149§§3.2.4. Summary. 151§§3.§
