Abstract

This research aims to develop the Minimum Viable Product (MVP) of a cloud platform that transforms structured data into automated text, to enhance the production of content in Brazilian stock brokerage companies. It is based on applied research that combines different techniques for the development of MVP. As a theoretical path to support product development, it permeates strategic communication in corporations, as well as the adoption of algorithms and content automation in journalistic production. Among the results achieved, the work presents the logic of infrastructure of macro operation for the newsbot and the main elements for the many layers of development that an application of this nature needs.

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