Hyperlocal reporting and other highly individualised content from the areas of sport, politics, transport and business measurably increase the attractiveness for loyal readers and new target groups.
For publishers, automation in the newsroom means efficient processes in the scalable creation of constantly recurring content. Editorial teams can concentrate more on journalistic core tasks.
Automatically generated content increases the marketable reach and visibility of a media brand on all online channels, for example by achieving high click-through rates in the long tail of search engine rankings.
AUTOMATION SOLUTIONS FOR THE MEDIA INDUSTRY
AI technologies enable ever greater personalisation: the more publishers know about their readership, the more individualised content can be tailored and marketed. The use of AI-based language technologies is the foundation for optimised user engagement and effective monetisation.
Semantic analysis and keywording automatically bundle editorial content into relevant topic pages and link it for optimal utilisation by search engines. The result: more reach, journalistic content and effective monetisation as the basis for sustainable growth.
AI-based language technologies create texts in scalable quantity and high quality. This is particularly relevant in the area of data-based reporting. Online media thus open up new subject areas, create contemporary offerings and increase reach.
WHITE PAPER: “NLG IN PRACTICE”
Natural Language Generation is seen as a key to greater efficiency: the ability to express data in the form of natural language and easily understandable text makes NLG the optimal interface between man and machine – and thus a key element in any data-to-insights process. Find out in our white paper what potential NLG holds in store for a wide range of practical fields.
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