Artificial intelligence has rapidly become a hot topic in the media industry. Media companies are exploring how they can utilize this technology to automate processes, drive decision-making, and personalize the customer experience throughout their content supply chain.
In this article, Markus Paul will discuss the various ways in which AI is currently being used in the media industry’s content supply chain.
But before diving into the specifics, it’s important to understand the content supply chain.
The Content Supply Chain
The content supply chain encompasses creating, managing, and distributing content to audiences. It typically includes stages such as pre-production, production, post-production, distribution, and monetization.
It involves the coordination of many different stakeholders. Stakeholders include content creators, producers, distributors, and advertisers, who work together to ensure the content reaches the target audience in the most efficient and effective way possible.
The content supply chain is fundamentally made up of a number of related parts that cooperate. These parts make it possible to create, distribute, and optimize content for various platforms and channels. The chain consists of content strategy, architecture, production, delivery, tagging, and analysis.
AI as a Power Engine
These elements work together to create a seamless, end-to-end process that spans the whole lifecycle of content, from conception to delivery to measurement.
And that’s why the content supply chain is essential for any media company. It helps companies to make most of their content and be as effective as possible.
This is how AI is being utilized in the media industry’s content supply chain:
1. Automating Repetitive Tasks
One of the primary ways in which AI is being utilized in the media industry is through the automation of repetitive tasks. AI can be used to automate a wide variety of tasks. It can automate, for example, transcription, captioning, and subtitling. That’s how it allows content creators to focus on their core functions.
2. Filtering and Distributing News
AI is also being used to filter and distribute news more efficiently. With the increasing amount of news being produced every day, media companies are using AI to help them sort through the vast amounts of information and identify the most relevant and important stories.
3. Automatic Metadata Tagging and Retrieval
One of the most exciting uses of AI in the media industry is automatic metadata tagging and retrieval. AI algorithms can automatically generate metadata. Metadata can be used to drive content commercialization initiatives, such as targeted advertising and personalized content recommendations.
4. Improved Video Quality, Production, and Streaming
As the use of video services continues to increase, media companies are looking for ways to improve video quality, production, and streaming. Media companies can use AI to automatically adjust video quality based on network conditions, improve the editing process, and optimize video streaming.
5. Long-Term Competitive Advantages
The media industry has undergone substantial changes in recent years due to the infusion of internet corporations such as Netflix, Amazon, Apple, Google, and Facebook.
In such an unstable climate, media organizations are looking for long-term competitive advantages that will allow them to survive and perhaps thrive. With its transformational possibilities, artificial intelligence appears to be the next technology of choice.
Optimizing the Content Supply Chain
The media industry is rapidly adopting artificial intelligence to streamline and optimize its content supply chain. From automating repetitive tasks to filtering and distributing news more efficiently, AI is helping media companies to improve their processes and provide better experiences for their audiences.
As the industry continues to evolve, it will be interesting to see how AI is utilized in the future to further improve the media industry’s content supply chain.
As the CEO of Media Tailor, Markus Paul brings over a decade of experience in leadership roles within the media industry and technology companies. With his extensive knowledge and expertise, Markus recently completed an MBA research project on artificial intelligence in the media industry. In this blog series Markus shares his insights from his research.