In a world where data become increasingly central to a data-driven strategy, we cannot fail to consider the importance of text analysis. How many reports and notes do we have within our CRMs? How many text fields in our databases? How can we transform this wealth into analytical data that can be exploited with other numerical values?

We will see a strategy that includes artificial intelligence applied to the text — starting with ML.NET, the open-source and cross-platform machine learning framework for .NET developers.