Personalised, data driven communication is becoming a reality, with consumers and customers now expecting to receive messages that are relevant to them. Our solution is based on exactly that principle, using data and machine learning to deliver content optimised for the individual.
With an ever growing back catalogue of content, the online news media have a wealth of information that is often not used to its full potential. The aim is to change this by using machine learning, pattern recognition and other techniques to help journalists improve both content quality and presentation, thus increasing revenue.
As a new generation of readers lean toward voice and video formats, Sol.no aims to deliver a commercially viable, personalized, news experience to customers. Readers will receive live updates about their own news upon request combined with interactive ads.
Spectacular 3D models are often available in the sectors being covered by journalists. However journalists are often unable to use the data for journalistic purposes for reasons we believe are based on lack of knowledge, experience and data access. This project will solve these issues by making tools for interactive 3D models in journalism.
Brands spend enormous amounts of time and money creating content for social feeds, but up to 70% of the newsfeed is never seen and each network is a walled garden to the next. Unlike social networks, publishers’ webpages provide valuable context and brand-safe environments for branded content. The project will help publishers tap into social ad spend expected to reach $50B by 2019.
Optimising news front pages in a responsive design is hard. Simple procedures like changing the article order or adjusting a particular heading’s font size requires coding or expensive tools. StoryPage changes this; it’s an open-source page builder for the news industry that's simple and easy to use.
Most online newspapers make their money from ads or time-based user subscriptions. Very few have succeeded with a pay-per-view model. We are challenging the landscape by creating an ecosystem that makes pay-per-view a user-friendly option for consuming paid for news content. In the process we’re also removing the need for third-party payment providers, and effectively eliminating current fees and transaction costs.
Live, hyperlocal citizen news platform.
Local news publishers using proximity data to get the neighbourhood talking
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