- Students learn to apply key concepts of knowledge management and artificial intelligence and recognize their importance for realizing the idea of smart business.
- Students understand and recognize different approaches of knowledge management, their strong and their weak points and the added value of these approaches for business innovation. The related approaches are data-driven, model-driven, multi-perspective, stakeholder dynamics driven, and solution-driven.
- Students can use and evaluate the opportunities of modern information technologies for managing knowledge in organizational contexts. The respective information technologies are business intelligence, simulation, ontologies and mappings, opinion identification and triangulation, recommender systems and decision support, natural language and unstructured data processing, wisdom of the crowd services and open innovation platforms.
- Students develop basic hands-on skills related to modern information technologies by applying clustering techniques, classifiers, neural networks, workflow tools, and sentiment miners in simple cases using the WEKA machine learning platform.
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Information and knowledge are key resources for operational and innovation processes in modern organizations. Business innovation methods in modern organizations increasingly rely on information technology (e.g. market-product-technology road mapping, crowdsourcing, and virtual co-creation with customers). In order to really grasp how these tools work and how information technology drives advancements in business innovations, a better understanding of knowledge and technologies for processing knowledge is necessary. The related approaches consist of five paradigms of knowing: empirical, rationalist, Kantian, political, and pragmatic and related artificial intelligence tools. The focus of this course is on how these types of knowledge can be codified, extracted and digitally represented and processed. The representation and processing opportunities of these types of knowledge, named cognitive computing, are nearly unlimited and will be discussed in the context of business processes. In this course, these information technologies are analyzed using the criteria and challenges of the five paradigms of knowing, related hands-on software experiences, and by demonstrations and presentations of practitioners.
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