Leveraging new technologies to provide personalized service and create engagement

[Shishirgano9]

To train AI, there is currently a serious lack of reliable data sets. Researchers from the Data to AI Lab at the MIT Laboratory for Information and Decision Systems are using machine learning to create synthetic data sets (SynLBD) to avoid the biases of traditional training bases, such as the famous Enron emails. According to Amy Webb, these artificial data sets will become increasingly important. AI will also help with automated fact-checking by algorithms, although Amy Webb does not go into more detail on this part (the word blockchain is not even mentioned in this part of the report).

She does, however, mention the need for "radical jordan cell phone number list transparency" from now on, to counter the loss of trust that the media has been facing since the Cambridge Analytica scandals, the US elections and the continued spread of fake news.


GAT (Automatic Text Generation) can be used by the media to not only offer a single version of a text, but to adapt the text to different audiences. Berkshire Hathaway's annual data could thus be presented differently to an audience of financial experts, students or non-professionals, and can help reach new targets. The media can also strengthen their relationship with the audience through messaging platforms , which will concentrate, like WeChat, more and more features, with a significant challenge of monetization thanks to a personalized service.