EC Study Examines Use of Artificial Intelligence Technologies in EU

The study was intended to help monitor the adoption of artificial intelligence in member states and further assess the challenges faced by enterprises, both internally and externally, in the use of artificial intelligence. About 9,640 enterprises participated in the study between January 2020 and March 2020. The five key performance indicators measured by the survey were awareness, adoption, sourcing, and external and internal obstacles to adoption of artificial intelligence. The adoption of artificial intelligence varies significantly based on company size, with large enterprises being most likely to use at least one technological application of artificial intelligence. Differences related to company size are slightly more pronounced when focusing on enterprises using two or more artificial intelligence technologies. While 39% of large enterprises with more than 250 employees use two or more artificial intelligence technologies, this figure is only 21% for micro enterprises with 5 to 9 employees, 22% for small enterprises 10 to 49 employees, and in between (30%) for medium-size enterprises with 50 to 249 employees.

With respect to the financial and insurance sector, the following are the key findings of the study:

• Plans to use artificial intelligence technologies in the next two years also vary by sector. The highest growth prospects are foreseen in the finance and insurance sector (27%). Many other sectors fall close to the global average (18%) of businesses that plan to use artificial intelligence in the next two years.
• The information technologies and the financial and insurance sectors experiment with multiple artificial intelligence technologies.
• The financial and insurance sector, which is vulnerable to the risk of wire fraud, seems to utilize artificial intelligence to automate fraud detection. Other uses of artificial intelligence technologies in this sector include anomaly detection, forecasting, and process automation, with prevalence in nearly a quarter of the sub-population.
• The financial and insurance sector (31%) is relatively less likely to perceive lack of funding as a major external obstacle to adopting artificial intelligence; however, enterprises operating in this sector (40%) are more likely to be concerned with the strict standards for data exchange.
• Looking at company size, for most skills needs, it is the largest enterprises (more than 250 employees) that find the skills listed as lacking, with the exception of robotics skills. When it comes to sector differences,
  programming skills needs are most pronounced in the financial and insurance sector (59%)

Related Links

• News Release
• Final Report

Keywords: Europe, EU, Banking, Insurance, Fintech, Artificial Intelligence, Survey Results, EC