One senior accountant who spent 180 hours on tax prep last year spent only 15 hours on it this year.

The main characteristic of how the data is transformed is that there will be a syntactic difference — in other words, very easy to see by the neural net — between most of the input statements, which will be tagged as 'communication acts.'

We work with the natural logarithm of the time horizon, which puts it on an approximately linear scale.

Academic publishers, documentary archives, game studios, and companies sitting on years of enterprise data have all been courted for the seeds of intelligence needed to train the next generation of models.

Several digital reforms projects sometimes require the same data to be collected multiple times depending on the authority in charge. Better cooperation between data owners (ministries and their departments) can ensure that data is collected systematically and is fit for future use.