{"id":151971,"date":"2024-06-03T10:09:21","date_gmt":"2024-06-03T08:09:21","guid":{"rendered":"https:\/\/www.cde.ual.es\/?p=151971"},"modified":"2024-06-03T10:09:21","modified_gmt":"2024-06-03T08:09:21","slug":"8-of-eu-enterprises-used-ai-technologies-in-2023","status":"publish","type":"post","link":"https:\/\/www.cde.ual.es\/en\/8-of-eu-enterprises-used-ai-technologies-in-2023\/","title":{"rendered":"8% of EU enterprises used AI technologies in 2023"},"content":{"rendered":"

In 2023, 8% of enterprises in the EU with 10 or more employees used Artificial intelligence (AI) technologies to conduct their business.<\/strong><\/p>\n

\"\"<\/a><\/p>\n

This data comes from the newly updated Statistics Explained article on the use of artificial intelligence in enterprises.<\/p>\n

Artificial intelligence refers to systems that use technologies such as text mining, computer vision, speech recognition, natural language generation, machine learning and deep learning to gather and\/or use data to predict, recommend or decide \u2013 with varying levels of autonomy \u2013 the best action to achieve specific goals.<\/p>\n

The highest shares of enterprises with 10 or more employees using AI technologies were in Denmark<\/strong> (15.2%), Finland<\/strong> (15.1%) and Luxembourg<\/strong> (14.4%). Meanwhile, the lowest shares were recorded in Romania<\/strong> (1.5%), Bulgaria<\/strong> (3.6%) and Poland<\/strong> (3.7%) and Hungary<\/strong> (3.7%).<\/p>\n

\"\"<\/a><\/p>\n

When it comes to the type of AI technology used by these enterprises, in 2023, automating different workflows or assisting in decision-making (AI-based software robotic process automation) was the most used, with 3% of the enterprises using it. Performing analysis of written language (text mining; 2.9%) and machine learning (e.g. deep learning; 2.6%) followed.<\/p>\n

\"\"<\/a><\/p>\n

Other types of AI technologies used include converting spoken language into machine-readable format (speech recognition; 2.5% of the enterprises), identifying objects or persons based on images (image recognition, image processing; 2.2%), generating written or spoken language (natural language generation; 2.1%) and enabling physical movement of machines via autonomous decisions based on observation of surroundings (autonomous robots, self-driving vehicles and autonomous drones; 0.9%).<\/p>\n

More information: Eurostat<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

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