Language Embedding Models in Financial Services

How financial players are using vectorized data to gain insights.

In finance, big profits are usually reserved for the ones who get the insights first. Each second counts, and high frequency trading algorithms are clear examples of this. But it’s not only a matter of speed: Data aggregation and knowledge discovery have become essential abilities. This is the reason why so many financial players are turning into data science companies.

This is a companion discussion topic for the original entry at