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.
How will AI-generated content transform the entertainment industry? And what are the impacts on employment, content development, budgets, contracts, legislation, and privacy rights? Part II of this research by Heinz College Master of Entertainment Industry Management students provides an in-depth analysis of survey and interview data from entertainment lawyers, educators, and other industry professionals.
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.
Social media is infused into the daily lives of Gen Z and Millennials. In order to reach and meaningfully engage with IND18-35, organizations should build a thoughtful social media presence to funnel the IND18-35 community to specific content. Initially, organizations should identify existing Gen Z and Millennial parties as key stakeholders and partner with them to create interactive, promotional content on social media. The focus should be on TikTok and YouTube as 75% of survey respondents ranked one of these platforms as their primary source of short-form content.
Millennial and Gen Z consumers have forever altered the entertainment landscape. Shifts in their viewing habits are being motivated by a sense of community, increasingly short attention spans, and pragmatic decision-making spurred by coming of age in a digital and internet-driven environment. To fulfill these motivations, they have increasingly turned their attention to short-form content. this article offers insights on how and why Gen Z and Millennial consumers watch content.
Throughout my tenure as Chief Editor of Research at AMT Lab, I have focused on the benefits of the gaming industry for nonprofits, as well as the monopolistic tendencies and battles of Big Tech, specifically regarding arts and entertainment. Recently, these two worlds have collided, as a wave of consolidation in the gaming industry has raised a new set of antitrust concerns across the globe. In the center of it all? None other than Microsoft, a Big Tech giant that has evaded the antitrust spotlight over the past few years – until now. Due to the expanding value of the video gaming industry at over $300 billion, mergers and acquisitions seemed an obvious destiny bound for the trials and tribulations of antitrust litigation. Microsoft has successfully inserted itself into the gaming industry, incited the largest wave of consolidation that it has ever seen, and merged its dominant position in the sector with its Big Tech-skewed Metaverse goals.
The entertainment industry in a post-pandemic and streamer-heavy world bears a sigil of secrecy. Viewership data for films and television shows on Netflix, Hulu, Amazon Prime Video, HBO Max, Disney Plus, Apple TV Plus, and other streaming services is highly monitored behind closed doors at these companies. Streaming consumption skyrocketed at the beginning of the COVID-19 pandemic, as people around the world were forced to stay at home. During the same time, online TV/video consumption increased from 1.7 hours to 6.5 hour. The pandemic fast-tracked the world’s shift to streaming, as it became one of the only accessible entertainment platforms, forcing the general public to decide which streaming services to invest in, largely because of cost.
The application of Virtual and Augmented reality in music has been around for a while. From collaborative creation and interactive music videos to its incorporation in art museums, it seems as if the arts industry is competing with itself to enhance the audience experience. As concerts are a highly user-oriented experience, these technologies have started gaining more traction in the live music space. The demand for interactive and immersive experiences has called for innovative models to be incorporated within music. Thus, the application of such models is added to the concert experience with the implementation of VR and AR technologies to help maximize its interactivity.
The dilemma of interactive films, feeling as if you are in control when you actually are not, is part of the reason why they are yet to become mainstream in entertainment, especially compared to interactive games. This article attempts to open this discussion by examining theoretical frameworks as well as a comparative case study. As the major concern lies in the disruption of the audience’s engagement, potential future options can be VR or implicit interactions (making choices through the user’s implicit activity) to provide a more engaging process. When the hype for this innovative technology wears off, the core of the films will still be their stories. After all, it’s about storytelling.
Since the 1980s, it has been industry practice to measure the number of viewers consuming films and television. These measures affect the industry in multiple ways, from advertising sales to cultivating future viewers, and often contribute to the project’s success. As streaming continues to pivot the entertainment industry, other services will begin to release viewership data in a similar fashion. This crucial step in releasing streaming viewership data has the potential to set a new dawn for streaming services: one where data and transparency lead the way into a more informed and impactful industry.
