The use of AI and machine-learning applications means that this process can be done at scale, and at almost instantaneous speed
A stream of content from a sports event such as the Football World Cup, or the Olympic Games can be invisibly watermarked. Any pirate streams that then share the same content will automatically trigger an instant notification. From there, rightsholders can decide what action to follow – issue a take-down notice, or contact law enforcement.
Where previously, fighting piracy was a laborious, drawn-out process, now it can happen in real-time.
AI and machine learning also have massive data analytics capabilities, which may soon allow rights-holders to not just identify piracy, but also predict where it is likely to occur. By analysing user demographics, viewing habits, and market trends, AI can locate potential piracy hotspots and emerging distribution channels as they take shape.
Rights holders would then be able to develop targeted strategies to combat piracy effectively in problem territories.
Another way that AI can help to address content piracy is by identifying consumer trends, and then using algorithms to tailor content and pricing strategies to suit target audiences. When users can get the high-quality, original content they enjoy most, at the ideal price point, they become less likely to seek out pirate versions.
Clamping down on content piracy is about protecting the welfare of creators, producers, as well as rightsholders and preserving thousands of creative-sector jobs across Africa.
Human passion and commitment will always be a key part of the battle against piracy. However, now technology offers a range of highly effective tools that can support the dedicated men and women fighting to protect the livelihoods of Africa’s film and TV professionals. The battle can be won, and AI can help to win it.
For more information visit: https://www.multichoice.com/partners-against-piracy.php
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