Creative AI landscape
Earlier this week, I wrote a piece with Peter Zhegin on opportunities for applying AI in the creative industries, published as How to take AI far beyond gaming in VentureBeat. As part of our research, we looked at 94 example company, corporate and academic initiatives using AI for search/discovery, personalisation, interaction/feedback and creative process augmentation/automation in the creative industries. They are displayed on the chart below.
We grouped the projects in 4 categories as explained below. The cultural and creative industries classification is loosely based on that of the UK’s Department for Culture, Media and Sport (p21/22). For the purposes of our research, we excluded gaming and focussed on applications of AI related to the creative tasks in the aforementioned industries. The table is for example purposes and does not aim to cover all companies related to creative AI.
Search / Discovery: recommending or helping users find content e.g. music based on their preferences
Personalisation: changing some elements of a work, but keeping its essence. e.g. modifying a subject line or some words in an email based on the user, but keeping the base text the same.
Interaction/Feedback: providing feedback to the creator e.g. if you add sky to your picture, you will get better conversion OR giving the creator/user a chance to interact with the work e.g. Mogees
Creative process augmentation / automation: involving AI in the essense of the work, e.g. creating the whole music track, not just enhancing some elements
Music, Performing and Visual Arts
Design (Product, Graphic and Fashion Design), Architecture and Crafts
Film, TV, video, radio and photography