Artificial intelligence (AI) is not just buzzing through the media as a buzzword. It has also arrived in media production. The application scenarios for artificial intelligence are becoming increasingly diverse.
How AI helps distinguish between hundreds of celebrities
Imagine you work at a TV station. The Oscars are coming up in L.A. and your job is to report on this major event.
However, you have a problem: You don't even know many of the American stars who are currently strolling down the red carpet. You're supposed to cut together short reports about individual stars to supplement the evening's moderation.
Software solutions based on AI - like Azure (Microsoft) services - can save you in this situation. The company's cloud-based applications are able to match the latest clips from your camera crew with a face database stored in the cloud. With a 99.9% probability, the system tells you which star is currently being interviewed by the presenters.
At the same time, the software shows you if there are already other clips with this star in your audiovisual library. You can incorporate these clips directly into your own reporting.
Examples like this illustrate how AI is already helping to significantly simplify the work of a TV editor.
Narrow AI - Small but mighty!
Nevertheless, reporting on artificial intelligence is often fraught with skepticism: It often deals with job losses, data misuse and ethical dangers arising from the use of the new technologies. Unfortunately, this form of presentation neglects the current possibilities and limits of the use of artificial intelligence.
Current systems, which are summarized under "AI" (Artificial Intelligence), are completely assigned to the area of Narrow AI. Narrow AI refers to algorithms or software that specialize in one activity and continue to improve this activity through learning processes. Thus, these Narrow AI systems can be described as comparatively "dumb". They master activity A, but have to pass when it comes to activity B.
What Narrow-AIs can do - and what they can't
Narrow AIs' capabilities range from speech recognition, data visualization, and storytelling to independent creation of images and musical pieces. Through training, narrow AIs can achieve performance levels that exceed human capabilities when dealing with specific problems. For example, algorithms for traffic sign recognition are already being used in automobiles today, far outperforming experienced drivers in terms of accuracy and speed of identifying signs in traffic.
Narrow AI systems are still far from performing human and creative activities. Rather, they are utilities that can support humans in their daily work.
Media companies can benefit from these tools to drive their own content creation.
Application scenarios of Narrow AI along the work processes of media companies
Narrow AI systems can be used in all work processes of a media company. In this way, the entire value chain benefits from the relief of its employees. This will be illustrated by selected examples: