In this decade, remarkable progress has been made in the field of artificial intelligence (AI). Inspired by well-known services of cognitive assistance systems such as IBM Watson, Apple's Siri or Google Duplex, AI concepts and algorithms are widely discussed regarding their automation potentials in business, politics and society. At first glance, project management (PM) seems to be less suitable for automation due to the inherent uniqueness of projects by definition. However, AI is also creating new application possibilities in the PM area, which will be explored in this contribution by involving an extensive literature review as well as real-world examples. The objective of this article is to provide a current overview of AI approaches and available tools that can be used for automating tasks in business project management.

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This study investigates the possible errors related to Mandarin tone perception and production by German speakers. In a preliminary test, 23 German listeners should identify the tones of 186 monosyllables. Results show that exposure to Mandarin Chinese can help to discriminate lexical tones as highly expected. In the main experiment, 17 German subjects were asked to take part in a perception and production test. Stimulus of perception involves 48 monosyllables uttered by a standard professional Chinese speaker; acoustic measures were conducted to analyze the production of 72 monosyllables for each subject. It is found that German speakers have much smaller f 0 range than Chinese native speakers. Findings can provide implications for cross language studies and teaching practices.

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