Common embedding models are particularly at home in the fields of artificial intelligence, big data, smart data and digital transformation. These models help to convert different types of data so that they can be analysed together and compared more effectively.
Imagine you run an online shop and analyse customer reviews (texts) and the purchasing behaviour (figures) of your users. Common embedding models make it possible for both text and number data to be translated into a standardised "language". This makes it easier for artificial intelligence to recognise correlations between positive reviews and frequently purchased products.
This technology can be used, for example, to make more targeted product recommendations or discover patterns in large, mixed data sets that were previously hidden. Joint embedding models therefore make an important contribution to making large amounts of data comprehensible and gaining valuable insights from it.
For companies, this means that they can make data-based decisions faster and on a more informed basis - a foundation for successful digital transformation and modern business models.















