THE TREND OBSERVER Mathias Haas

Contact at the AI Progress Center

Maximilien Kintz

maximilien.kintz@iao.fraunhofer.de

Recognition and evaluation of future theses

Quick Check

Initial situation

The company DER TRENDBEOBACHTER, led by Mathias Haas, supports companies in identifying and advising on relevant megatrends. Until now, these have been compiled through manual research in general or specialist sources. The use of AI methods can help to automatically analyze a large database and evaluate it for future trends and change clusters.

Solution idea

Two supporting AI assistance functions were examined in the QuickCheck: The development of new, unknown trends from a large number of current sources such as studies or newspaper articles, and the testing or validation of already established theses using this database.

Figure 1: Recognition and validation of future trends from media reports Own illustration
Figure 1: Recognition and validation of future trends from media reports Own illustration

Benefit

By using AI, THE TREND OBSERVER is able to identify new megatrends faster than other consulting firms by automatically analyzing large volumes of data. AI may also find topics that humans have previously overlooked.

In addition, automated recognition or validation of individual future trends affecting your own company can generally benefit any company that wants to gain an overview of current or emerging developments in its environment or industry in order to remain fit for the future and thus competitive.

Implementation of the AI application

The prototype AI functions developed in the quick check support the following applications:

  1. Identification of new trends and megatrends through unsupervised clustering of topics on a large textual data set.
  2. Validation of future theses based on semantic similarity comparisons on the data set, whereby statements are found that either confirm or refute a thesis.