Simplifying complex data with the power of language


Description of impact

"Professor Ehud Reiter and Dr Yaji Sripada, from the University of Aberdeen, joined forces with entrepreneurs Ian Davy and John Perry to found the spin-out company, Data2Text, in order to further develop their ideas and research around Natural Language Generation (NLG) technology.

A form of artificial intelligence, NLG technology can make it quicker and easier for organisations to read and understand large amounts of data, by converting complex information into simple, summarised text. The written narratives are produced in a matter of seconds and are designed to be read as if they were written by a human subject expert."

Project summary and aims

As organisations continue to use an increasing amount of ‘big data’, industries across the globe must identify the best way to capture, process and understand this information. Although computers and machines can produce and store a huge quantity of digital data, the volumes of information are increasing so quickly that it’s impossible for human beings to make full use of the data available.

One of the main challenges of data management is that once a data set is generated by a system, an expert within the organisation is still required to analyse the data and explain the results. Illustrative and numerical reports are useful methods of interpreting sets of data, as well as written reports that use simple words and plain English, but both visual and written summaries can be very time-consuming to produce.

Outcomes to Date / Future Developments

Impact statusImpact Completed (Open)
Impact date2009


  • Data and AI