With AI’s ability to automatically produce content and process complicated datasets with high accuracy, museums worldwide are exploring ways in which this innovative technology can help them better achieve their missions and advance accessibility efforts. Through case studies, learn about three applications of this technology: content digitalization, language accessibility, and visual description.
October was filled with new debates on AI policies, a halt to one of the most significant AI safety bills in the United States, and a host of new AI developments in video, music, and even podcasts.
Arts and cultural nonprofits often operate in multiple markets for earned and contributed revenue. With increasing attention on data-driven decision making, effective market orientation often depends on effective data use. This fundamental collection, transmission, use, and interpretation of data within an organization collectively contributes to what can be considered an organization’s data culture.
Museums have increasingly begun to volunteer their spaces as polling places, acting as a democratic vehicle for their communities and adding to the greater fabric of America’s election infrastructure. In doing so, they can support local democratic processes and prove to their communities that they are not unbreachable temples for the elite, but open platforms for the people.
As exemplified by the Hollywood strikes of 2023, we find ourselves in a new era of Artificial Intelligence in film and television. While studios are looking to cut costs, performers seek job security, and consumers seek quality content. Through research conducted in collaboration with facial motion capture technology provider Faceware Technologies Inc., Master of Entertainment Industry Management students at Carnegie Mellon sought to gain insight on how AI-generated content will transform existing industries, including how this technology could affect employment in the entertainment industry, content development, budgets, contracts, legislation, and privacy rights.
The following case study analyzes an opera, Chasing Waterfalls. The opera, which premiered in Dresden, Germany on September 3, 2022, challenged traditional opera expectations by bringing a different way to integrate technology into the opera space. Chasing Waterfalls utilizes Artificial Intelligence (AI) software to write, compose, and perform its own aria live within the show.
As streaming becomes the most popular method of consuming music, orchestras and opera companies have an additional method of distributing their content. Which organizations are currently taking advantage of streaming and how are they using it? This raw data set helps answer those questions.
Photo source: http://www.violinist.com/blog/laurie/201611/20869/
Already your responses are providing valuable insight. AMT Lab has extended the 2015 National Ticketing Software Satisfaction Survey period through March 7, 2015. Collecting information on the attitudes and behaviors of arts organizations currently using ticketing software, the 2015 National Ticketing Survey will help illustrate the met and unmet ticketing needs of art organizations, and capture how ticketing software uses and needs vary by an organization's discipline, budget, staff size, and geographic location. Clear here for the full announcement.
AMTLab contributor Christine Sajewski discusses strategic uses of internal arts marketing data, as illustrated through a hypothetical performing arts organization, the Ugly Duckling Ballet. Read the full report here.
