AI is influencing every part of the media value chain, helping content creators to be more creative, editors to be more productive, content consumers to find the right content, and companies to increase revenue.
The global media and entertainment industry is undergoing a rapid transformation in the way content is created and distributed. With easily and widely available content creation tools like smartphones, high-resolution cameras and content creation software, literally anyone can create and distribute content.
The replacement of traditional media channels with on-demand streaming platforms
like Netflix, Amazon Prime, and YouTube have further accelerated this trend. Customers today have countless options to choose from, in terms of media consumption.
The media companies are facing the heat of the competition and are realizing the need to raise the quality and quantity of the content they create. All this has led to growing penetration and rapid adaptation of AI in the media industry. The accuracy, speed, and amount of information generated with AI tools opens doors for a wide range of applications.
Due to the integration of AI tools with our flagship product Cadenz, in TheDataTeam, we have observed the following useful applications of AI in the media industry:
Content Personalization with Advanced Search Options
With the massive amount of content generated online classifying them and making them relevant for viewers is tricky. AI uses parameters such as browsing history, user age, background, demographics, etc, to train the system to adapt to the specific needs of its
users and limit the number of results a reader/viewer sees, thus offering them a highly personalized experience.
Metadata Tagging/ Specific Segment Retrieval
Media companies can use AI-based video intelligence tools that can analyze the contents of a video frame by frame and identify objects/speciﬁc keywords to add appropriate tags. So, whether the viewer wants to watch the goal in a football match or key moments of a TV show, AI makes it easier for them.
Automatic captioning and subtitling
Manually adding subtitles to videos may take hours of annual labour and there is always the possibility of human error. Media companies are now using automatic language analysis, translation, and speech-to-text functionalities to enable automatic subtitles and captions generation in many different languages. This makes the process fast,
error-free, and highly economical.