Nowadays, the quantity of data that a company manages is huge, and it is expected that it will increase in the future. For this reason, it is particularly appealing to design data-driven tools and methodologies capable of managing these pieces of information. This thesis project aims at addressing this challenge, by implementing a summarization pipeline, which is capable of offering an overview of the main topics contained in the analyzed text, by creating the corresponding summary and headline. To pursue this objective a procedure articulated in two main steps is implemented: extractive summarization and abstractive summarization. Namely, different approaches are analyzed to set up the first phase, instead the last step is always implemented with a Transformer architecture.