10/18/21

Streamlining Media Activities By the Use of Cognitive Technologies

Artificial intelligence has begun to change the way we work in virtually every industry, and every year we are more and more exposed to algorithms that drive better decisions, predictions, and processes. This provides enormous opportunities for companies to further develop business models and make existing processes in a better way. We will meet several organizations that have started their preparations to meet these future challenges and hear how Norwegian Cognitive Center a tool can be to meet the future of AI.

Agenda

Jenny Wiik, Associate Professor, the University of Gothenburg (20 min)

Jenny is currently affiliated with the innovation hub Lindholmen Science Park in Gothenburg where she is running the research project ‘The automation of journalism. Innovation, collaboration, and knowledge management when implementing AI in news organizations’. The project aims to understand how news organizations work to manage various competencies, workflows, and (sometimes) conflicting goals in the process of automating journalism.

Lubos Steskal, Data Scientist, TV 2 (20 min)

Exploring the many uses of embedding-based textual similarity:

Lubos will be showing how representing text/words as relatively low dimensional vectors (300 dimensions) "latent semantic" space allows for similarity identification beyond the matching of exact words and how this can be used to aid in the cold start problem for recommendation as well as grouping related content, generating document tags, and matching content across all of TV 2's content domains (streaming, TV news channel, tv2.no content).

Miguel Silva, Founder & CEO, Visualyst (20 min)

In this session, an up-and-coming MCB-backed startup called Visulayst will talk about how they are using artificial intelligence and machine learning to partial automate and streamline compliance reviews for the media industry.

Tom Skolbekken, Co-founder of UpFeed (20 min)

Tom will share how deep learning and AI can help journalists improve viewing time and scroll depth. Using convolutional neural networks, machine learning and NLP, Upfeed has worked with linguists at various research institutions in Norway, US and UK to develop a new writing assistant. Journalists get actionable feedback on how to improve their articles. It goes beyond words and sentences and looks at structure, flow and style to optimise readability and meet reader expectations.

Odd Gurvin, Project Manager, Norwegian Cognitive Center (10 min)

Previous

AI Learn: Enable business model innovation with AI

Next

AI Learn: Security and safety within AI