The media industry is now witnessing rapid transformation as media intelligence tools powered by disruptive technologies such as machine learning and artificial intelligence are taking center stage. Automation backed by data, cognitive analytics, and machine learning has the potential to increase cost savings, improve operational efficiencies, and create/curate highly relevant content in the media industry.
The benefits automation brings to the media industry are not reserved for the future as companies/agencies based in the industry are already leveraging on the technology. Here are some of the ways automation is proving to be beneficial in the industry:
1) Content creation/curation – The Press Association:
Content creation/curation is the life and blood of the media industry. Consistently delivering news stories that highly appeal to readers has always been one common area of challenge for news agencies. News agencies invest a lot to take the lead in this domain.
However, data-backed automation makes it easy to curate relevant news content by understanding readers’ preferences. One example of such a system is Press Association’s (PA) new service, Reporters and Data and Robots (RADAR). Using RADAR, PA aims to make it easier for local news outlets to publish the most appealing news stories by using AI to analyze national open databases.
2) Content translation – BBC and Vice:
In the age of social media, where content plays an important role in engaging users, speeding up content production is the key to gain a competitive advantage. BBC, through its in-house development team, BBC News Labs, has developed a video tool known as Stitch.
Stitch makes it easy for journalists to reversion video content to English. Content creators can also use the tool to create their own videos for Facebook, Twitter and Instagram. Using existing templates of the tool, content creators can automate the video content reversioning and creation processes, and increase engagement on social media.
3) Content discovery – Mashable:
The overwhelming amount of noise in social media makes it challenging for marketers to figure out the topics/subjects that are trending to create relevant content. Fortunately, Mashable has developed a predictive social analytics tool known as Velocity as a media monitoring solution.
Velocity is designed to curate interesting topics that help marketers create highly relevant content. By monitoring the stories shared by other publications across various social platforms, the tool can also predict what will interest readers.
4) Customer communication and recommendation – CNN:
The news and media industry is already starting to witness disruptions with chatbots. CNN is one of the early adopters of this new-generation technology. The media company has launched a variety of chatbots across different messaging apps, including Facebook Messenger, LINE, and Kik.
According to the company, the steps to automate communication have proved to be beneficial as their success metrics range from engagement to monetization and many more. After just 6 months of implementation, CNN saw readers respond more to open-ended questions in Facebook Messenger and engage more on Kik. On the other hand, the company also witnessed the most growth on LINE.
Improve operational efficiency by cutting down man-hours using media intelligence tools
In the race to efficiently monitor trends, create highly relevant content, and quickly solve customer query, you’d certainly not want to be left behind. We, at Data-Core Systems, can help you take the lead in your industry with our media monitoring software RUZIVO.
RUZIVO uses machine learning and cognitive analysis to automate media monitoring. This way, you can cut cost as well as man-hours to achieve better outcomes.