How Artificial Intelligence Will Directly Affect The Media Industry

Many media companies from around the globe are anticipating the affect that artificial intelligence (AI) will have on the way they do business. The dynamic nature of technology trends demands its continuous evolution from publishing to a digital media company. Progress has been made in terms of content, as well as in terms of technology used to gather and publish information.

Artificial intelligence now possesses a larger pool of data to work with and automate so as to generate reports and other forms of content.

But How Will AI Affect Your Business?

Data Collection

Content in media is generated in all visible media formats. Relevant keywords, sentiments, and entities, along with topic classification is computed. Image classification is used for face detection or finding important parts of an image. All this data is then used to build a knowledge graph for ease of content search, recommendations, and relevant content syndication. The second part of data collection is around collecting time series data on what content is consumed by the end user. This helps the algorithm match user interest with content meta data.

Insights Utilisation

The insights obtained from text mining allow for trends to be identified and leveraged in order to solidify a target audience and appeal to their interests. Historical analysis of trending content helps the editors focus on the topics they would want to write and distribute across social media. By serving relevant ads for a target audience, the ROI for the advertisers can be improved resulting in increased revenue for the publisher. High performing advertising campaigns then become templates for future campaigns and low-performing ones can be analysed for their defects.

Customer Feedback

Algorithms can also help formulate responses to questions posed by customers. A direct outcome of this report would be the ability to weed out fake news that may be published by backlinking their sources and exposing their inaccuracies. Smart artificial intelligence would be able to perform these semiotic analyses to determine accuracy.

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