Understanding the functionalities of Artificial Intelligence (AI) applications and the characteristics that describe them are essential for conducting a detailed analysis of the opportunities provided by AI. As a result, organizations can identify positioning opportunities, vis-à-vis competitors, in the target market. To improve understanding of AI applications, the Competence Center Ecosystems has developed a periodic table and an AI Application Taxonomy.
Understanding the functionalities of Artificial Intelligence (AI) applications and the characteristics that describe them are essential for conducting a detailed analysis of the opportunities provided by AI. As a result, organizations can identify positioning opportunities, vis-à-vis competitors, in the target market. To improve understanding of AI applications, the Competence Center Ecosystems has developed a periodic table and an AI Application Taxonomy.
AI Application Taxonomy includes the currently observable characteristics of AI applications based on an iterative analysis of more than 100 AI applications, including applications from the finance, healthcare, and automotive industries. Besides providing a cross-sectoral view, the goal of the taxonomy is to make AI applications and their functionalities describable and communicable in the context of different sectors.
The taxonomy supports AI project plans in many ways. By allowing project parties to use it as a basis for requirements gathering, the taxonomy helps to establish a uniform vocabulary, even out different levels of knowledge about AI and project communication. As a result, the outcomes are improved. On a strategic level, an organization can position its offerings based on the AI Application Taxonomy.
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