The project searches for a solution for digital media companies that allows them to be transformed into data driven organizations  to improve the performance of their businesses. Research and development of technology that allows the application of artificial intelligence and massive data processing for the intelligent discovery of information, findings and conclusions, and that facilitates the application of this data in decision-making and process automation.

The project proposes (1) research into new analysis techniques through not only statistics but also artificial intelligence and machine learning as keys to interpreting big data and (2) research into the translation of analysis results into language natural as a vehicle for transferring knowledge to business people at the precise moment. All these characteristics have currently been classified as disruptive by the most prestigious technology analysts (Gartner, Forrester among others).

The field of application in which we will base the study and experimentation will be in digital media businesses, which are the natural client of Agile Content, although the results will be extrapolable to other industries. Agile currently has BigData technology that it applies to the improvement of the operational flows of large media, both for the sale of advertising and for the editorial work of creating and disseminating relevant content. With a great differential in data processing, thanks to the application of predictive techniques, the data becomes actionable and allows clients to transform them into business results.