More data, more complexity
Posted: Sun Apr 20, 2025 5:08 am
Despite operating with legacy systems, traditional financial institutions have a valuable asset: a huge volume of data accumulated over decades. However, transforming this asset into added value is not simple.
Ricardo points out that "(...) preparing data for use in AI germany mobile database requires more than simply transferring it to the cloud. Legacy systems often store information in a fragmented or difficult to access manner" .
It is no wonder that integrating data from different departments and systems is a major challenge , as data is often trapped in silos, making it difficult to use in AI models.
Therefore, the modernization of infrastructures and integration of this data must be considered so that these companies can extract value through the use of Artificial Intelligence.
Ricardo points out that "(...) preparing data for use in AI germany mobile database requires more than simply transferring it to the cloud. Legacy systems often store information in a fragmented or difficult to access manner" .
It is no wonder that integrating data from different departments and systems is a major challenge , as data is often trapped in silos, making it difficult to use in AI models.
Therefore, the modernization of infrastructures and integration of this data must be considered so that these companies can extract value through the use of Artificial Intelligence.