Titlebook: Apply Data Science; Introduction, Applic Thomas Barton,Christian Müller Book 2023 The Editor(s) (if applicable) and The Author(s), under ex

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Book 2023tal transformation and presents a process framework for the evaluation of technologies. It also explains special features and findings on the failure of data science projects and presents recommendation systems in consideration of current developments. Machine learning functionality in business anal

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2.9 Compounds of arsenic and antimony,was developed based on well-known models from the academic literature, such as the technology acceptance model, the agile process management method Scrum, the CRISP-DM process model and the Stage-Gate model. In addition, socio-technical system methods and insights from the theory of situational leadership are integrated.

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性別

2.6 Compounds of selenium and tellurium,cified by competence and role profiles. This specification enables DASC-PM v1.1 to be used for various business situations, for example, to specifically select project members, identify key qualifications, and ensure sustainable project success.

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2.9 Compounds of arsenic and antimony,th for development processes and for the area of project management as well as for the subsequent transfer of knowledge. After showing how the framework can be used in practice on the basis of the description of its use, an outlook is given on future activities.

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Digital Ethics in Data-Driven Organizations and AI Ethics as Application ExampleDeutsche Telekom AG demonstrates how digital-ethical principles are developed and used concretely in an increasing data-driven use of intelligent systems in data-driven organizations. It shows how AI ethics can successfully be applied in everyday business life for creating a better way of dealing with these technologies.

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