4. Metadata updates

Metadata specifications must be updated rather frequently by media and entertainment companies in order to remain consistent with the ever changing standards imposed by audience preferences, and thus maintain their earning potential.

Manual updates are not only error prone, but they also involve higher incurring costs. On the other hand, deployment of software robots to auto update metadata ensures access to state-of-the-art, correct data.

5. Content creation

Structured news content, whether we talk about earning reports, latest results in sport competitions, or even advertising, can be easily automated. RPA in combination with AI technologies leads to intelligent automation, which can be used even for the creation of less structured content.

The bots can track trending news online, and then automatically create top relevance posts. The above mentioned metadata updates can also be leveraged for content preparation for Subscription Based Video on Demand (SVOD) services.

6. Content discovery

Even basic metadata like title, episode name, or synopsis, can be exceedingly complex for archived content. With the help of natural language processing, image processing, or machine learning, intelligent automation can be used to deal with both structured and unstructured data, and to isolate a higher number of more specific keywords, e.g., props in a scene.

The keywords can be included along the timeline in a video, resulting in much richer metadata. The outcome? The links established between previously independent content optimize search and, consequently, enhance audiences’ engagement with the programs offered by your company. Moreover, content as well as promotions can better target specific audiences based on relevance.

7. Grouping files and emailing to customers

Use of screen scraping, Optical Character Recognition, or basic pattern recognition technologies facilitate data extraction from PDF or Excel documents, which reduces the need to key in data.

Bots’ capacity to access documents across multiple systems allows them to group the PDFs into zip folders according to customers names encountered in Excel sheets. Subsequently, bots can collate the PDFs, encrypt them and, after identifying the address in Excel, email them to clients.

Conclusion

This list of use cases of robotic process automation in media shows convincingly that leveraging disruptive technologies can help the industry to better manage challenges such as continuously rising content costs, or raising customer demands.

Implementation of RPA and joint usage with other AI technologies are part of strategic choices meant to maximally monetize all existing resources. By doing so, your media company is more likely to achieve goals such as lower production costs, reduced time for service delivery, and, perhaps most importantly, improved customer experience.

We end by mentioning once again that this is part of a series of articles about the particularities of RPA in various industry sectors like telecom, transportation and logistics, banking, or healthcare, pragmatically oriented towards application areas. If you find the information useful, subscribe to the newsletter below to ensure that you stay updated with news about the fast-evolving intelligent automation services.