Data and statistics in the age of artificial intelligence (cross-border guide)

Context

In a nutshell

• The Swiss Statistics Days will be held from 25 to 27 August 2026 in Rorschach, in the Canton of St. Gallen.
• The theme is' Improving, connecting, understanding: data and statistics in the age of artificial intelligence '.

Key facts

• What: The Swiss Days of Statistics 2026
• When: 25-27 August 2026
• Where: Rorschach, Canton of St. Gallen
• Who: Specialists in the world of research and economics
• Amount: Not specified

The Swiss Statistics Days 2026 will be held from 25 to 27 August 2026 in Rorschach, in the Canton of St. Gallen. The theme is' Improving, Connecting, Understanding: Data and Statistics in the Age of Artificial Intelligence '. Specialists from the world of research and economics will discuss how to integrate new technologies into their own practices, in order to continue to provide the company with relevant analyses.

What to expect

Specialists will discuss how new technologies can be used to improve data collection and analysis. Among the topics covered will be the creation of predictive models, the use of machine learning algorithms and the creation of effective data visualizations.

Concrete examples

• The Canton of St. Gallen has already started to use new technologies to improve data collection and analysis. For example, the Canton statistics service has created a predictive model to predict electricity demand based on climate data and

Operational details

The Swiss Statistics Days 2026 feature a rich and varied programme, with 4 plenary conferences, 2 round tables, 21 workshops and 1 poster session. The theme is' Improving, Connecting, Understanding: Data and Statistics in the Age of Artificial Intelligence '. Specialists from the world of research and economics will discuss how to integrate new technologies into their own practices, in order to continue to provide the company with relevant analyses.

Artificial intelligence (AI) is revolutionising the way we collect, analyse and interpret data. According to a report by the Federal Statistical Office (FSO), in 2020, 75% of Swiss companies used data analysis tools to make informed decisions. However, only 12% of them used AI technologies. This means that there is still a lot to do to make the most of AI capabilities.

One of the main challenges is data management. According to a report by the Swiss National Bank (SNB), in 2022, Switzerland had an amount of accumulated data that exceeded 1,000 petabytes (1 petabyte = 1,000 terabytes). This means we need to find more efficient ways to collect, store, and analyze data. AI can help us achieve this, for example, by using machine learning techniques to identify patterns and trends in data.

A concrete example of how AI is changing statistics is the creation of predictive models

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Key points

For more information, you can consult the complete program on the website of the Federal Statistical Office (FSO) and use the calculator to calculate the most important statistics. 📊

The programme provides for the collection of data on different aspects of the economic and social life of Switzerland. Among these, the collection of data on economic activities, such as GDP (Gross Domestic Product), which measures the production of goods and services of a country. According to 2022 data, Switzerland's GDP amounted to CHF 725.4 billion.

In addition, the program includes the collection of population data, such as the working population, which refers to those who are engaged in a work activity. According to 2022 data, the active population in Switzerland amounted to about 4.5 million people.

You can use the calculator to calculate the most important statistics, such as GDP growth or unemployment. For example, the calculator can provide unemployment data for each canton in Switzerland. According to 2022 data, the highest unemployment had been recorded in the Canton of Ticino, with an unemployment rate of 3.2%.

Data collection is fundamental for the formulation of economic and social policies. The information collected is used to identify areas of greatest need and to provide aid and support to the most affected sectors. In addition, the data is

Source: admin.ch