Technological progress has led to powerful computers and communication technologies that penetrate nowadays all areas of science, industry and our private lives. As a consequence, all these areas are generating digital traces of data amounting to big data resources. This opens unprecedented opportunities but also challenges toward the analysis, management, interpretation and utilization of these data. Fortunately, recent breakthroughs in deep learning algorithms complement now machine learning and statistics methods for an efficient analysis of such data. Furthermore, advances in text mining and natural language processing, e.g., word-embedding methods, enable also the processing of large amounts of text data from diverse sources as governmental reports, blog entries in social media or clinical health records of patients. In this paper, we present a perspective on the role of artificial intelligence in these developments and discuss also potential problems we are facing in a digital society.

中文翻译：

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从数字数据革命到数字健康和数字经济走向数字社会：人工智能的普遍性

技术进步催生了强大的计算机和通信技术，如今已渗透到科学、工业和我们私人生活的所有领域。因此，所有这些领域都在生成相当于大数据资源的数字数据痕迹。这为这些数据的分析、管理、解释和利用带来了前所未有的机遇，但也带来了挑战。幸运的是，深度学习算法的最新突破补充了现在机器学习和统计方法，以有效分析此类数据。此外，文本挖掘和自然语言处理的进步，例如词嵌入方法，还能够处理来自不同来源的大量文本数据，如政府报告、社交媒体上的博客条目或患者的临床健康记录。在本文中，