Why AI is Significant in the Media and Entertainment Industry?

However, the media industry has realized that artificial intelligence would enhance productivity by automating repetitive tasks. AI-based automation can also assist the content creators, and entertainers spend more time in delivering engaging content.

FREMONT, CA: Artificial Intelligence (AI) and Machine Learning (ML) are technologies that enterprises across industries have been keenly experimenting with to explore the utility it brings. If automation is the goal, it should be meaningful, even at present.

Content recommendation, Speech to text, and media recognition are some of the initial applications that have been attempted. Clients find vendor demo impressive, but when doing a Proof of Concept (PoC) with the content, results are not. In the video operations, frame accuracy is a necessity, and AI models struggle to solve for this universally. Such specific differences in getting it right are what makes automation work. After trying multiple vendors, clients conclude that AI data is still not accurate enough to solve particular media and entertainment use cases. However, it remains optimistic about future possibilities.

The use cases are not always effectively solved by anyone vendor solution. The complexity and effort needed to solve for accuracy in a multi-vendor solve are not small. The vendor solution works for what is not evident for that enterprise's specific use case. Be it a large firm or a small one, finding data scientists, leadership, and investment to fund the R&D effort to make AI work is not something enterprises can do.

Finally, what is needed is a media recognition AI platform that brings the best-of-breed AI models such as Microsoft, AWS, IBM Watson, Google, and custom, especially for media and entertainment models to address the gaps and accuracy. Plus, the consulting adjacent to the technology will be an absolute necessity to make the AI work. ​Such consulting should be directed toward imparting suitable learning to AI models​ and making custom ML models to address customer-specific use cases. For delivering this consulting, talent with expertise in media and deep learning AI with computer vision knowledge is critical.

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