AI and Video Businesses: A Match Made in Heaven
The television media industry is always looking for new ways to evolve and adapt to the latest technology. With the proliferation of AI tools of Artificial Intelligence (AI), the industry is set to leapfrog into the future. AI will change the way video, particularly television and film, is being produced, advertised and consumed.
Here are just a few ways where AI will enhance or speed up the impact on certain functions in this sector:
Content Creation
AI algorithms can be used for scriptwriting assistance, to analyse story arcs and plot points, allowing screenwriters and directors to improve the narrative structure of their scripts. One such tool is “Script Fury,” which generates text segments, dialogue and action sequences tailored to a story, giving the scriptwriter the perfect starting point for their screenplay.
Media Asset Management
AI-powered asset management tools can quickly search and retrieve video segments, speeding up the content creation process. To find a specific asset in your media asset management system, you can apply several AI filters: you can search by “people” (media files with or without people in them), as well as “age” (babies, children, adults, seniors).?
If you’re looking for an image or video with a particular brand ambassador or employee for example, you can refine your search by selecting the appropriate age group of that person. Another available AI filter describes the “situation” of the asset, for example whether it was taken indoors or outdoors. You can also create AI filters that are unique and useful to your specific brand or content – for example you may want to apply “wears a safety helmet” if a construction company wants to find an image that complies with the rules at a construction site.
AI can also help media companies to mine metadata from their back catalogues at a fraction of the cost of traditional methods, providing the essential classification hierarchies needed for recommendation engines to help customers discover content.
Additionally, AI-powered transcription tools can automatically transcribe audio and video recordings, making them accessible for everyone. A good example of a powerful tool for transcribing speech to text, is OpenAI’s Whisper. Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. Such a large and diverse dataset, leads to improved robustness to accents, background noise and technical language. There are some wonderful examples here of how Whisper handles language, accents and speed of speech.
With automatic language analysis and speech-to-text functionalities, the automatic generation of subtitles and captions in multiple languages is now possible, but it doesn't stop there, AI can go as far is full lip-synched dubbing.
A platform that does this, is FlawlessAI, a technology company that provides AI-powered lip-synching solutions for the entertainment industry. Their platform uses cutting-edge machine learning algorithms to automatically dub audio content into new languages, creating lip-synced video content that matches the original audio.?
This technology allows content creators and distributors to reach wider audiences by easily producing dubbed versions of their content, while also saving time and resources compared to traditional manual dubbing methods. By leveraging the power of AI, FlawlessAI is helping the entertainment industry to produce high-quality, localised content in a faster and more efficient manner.?
Advertising:
In advertising, AI algorithms can identify objects in videos and run targeted advertisements, utilising computer vision technology to detect and analyse visual content in real-time. Samsung's "Smart TV" advertisements are an example of this, displaying relevant advertisements based on what is being watched on the TV.
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User Experience:
AI has the potential to revolutionise the online media part of television, offering many benefits to the user experience. For instance, AI-powered writing tools can assist journalists in creating compelling stories by automatically generating headlines, summaries and even complete articles. AI-powered recommendation engines can provide personalised media recommendations based on users' viewing history and preferences, making media consumption more enjoyable.
For years, Netflix has utilised AI to drive its content recommendations. It utilises the viewing histories of users with similar interests to suggest new content that may be of interest, with the aim of keeping subscribers engaged and maintaining their monthly subscription. Netflix's recommendation system operates based on an algorithm that improves over time as data is collected.
Marketing
AI technology is also changing the way media companies approach marketing. By using AI algorithms, companies can streamline and automate various marketing tasks such as generating social media posts and ad copy that are tailored to their target audience and brand tone.
Additionally, AI can provide assistance with search engine optimisation (SEO) and keyword optimisation for online articles and videos, helping to increase their visibility and reach.
AI-powered chatbots can also provide instant customer support, answering frequently asked questions and helping users navigate the company's website and app with ease.
In closing, this is just the beginning.
AI is revolutionising the television media industry, offering numerous benefits to content creation, advertising and content management. By utilising AI algorithms and technologies, media companies can reach and engage with their target audience more effectively and efficiently, making the experience of consuming media more enjoyable for the user and lowering the cost to serve that end user. This makes the effective adoption of AI in the media industry a match made in heaven. If done intentionally and with the right partners.?
Whenever there is a step change in technological capability such as AI, there will be a myriad of self-proclaimed experts offering their services.
Automation is not a new phenomenon. The acceleration of adoption through AI and expanded commercial utility is the real story here. It’s critical to do the homework on your potential AI partner/s and check their track record and specialist skills in relation to your industry so you can get the results your organisation needs.
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