Due to the popularity and booming business of video games, Hollywood studios have capitalized on popular game titles by developing new content based off of their intellectual property (IP). This study sets out to better understand video game IP’s impact on film and television markets and what specific elements might impact an adaptation’s success.
Sustainability and AI were at the forefront this year at the American Alliance of Museums (AAM) Future of Museums Summit. What role will museums play in creating climate-friendly communities? And how can AI be used to maximize efficiency, increase accessibility, and deepen engagement? Read key conference takeaways from Xueer Ho and Dr. Brett Ashley Crawford.
An overemphasis on data-driven work within the nonprofit sector has been shown to result in cycles of disempowerment, driven by third-party data demands of funding bodies.. This compounds due to the many market orientations nonprofits need to adopt, particularly prevalent among the arts. A key to navigating these markets and funder requirements lies in identifying a specific data culture best fit for your organization and investing in resources and training in order to achieve that framework sustainably.
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.
The current status of digital programming and investment varies widely across the arts and cultural sector. Some organizations have abandoned the streaming technology they experimented with, while others continue to incorporate digital programs and performances into their offerings. The following research reveals U.S. streaming trends and audience behaviors.
While Spotify has been a frontrunner in the AI field for a decade, its increased infusion of AI into its algorithmic content suggestions has put it into the spotlight with its ‘AI DJ.’ Consumers return again and again to Spotify largely for its enhanced personalization that few other streaming platforms can match. While AI is central to that personalization, it hasn’t surfaced without baggage and some consumer retaliation. It is also worth considering how this technology will further perpetuate algorithmic biases that disproportionately affect Black musicians.
Indie artists have been traditionally excluded from major labels due to their obscurity and improbability of generating revenue, causing difficulty in creating a career. Nowadays, however, independent artists have more power and capacity to survive, even thrive, without the help of a major label. The advent of the internet, streaming, and social media, as well as legislation regulating for rights of independent recording artists, have pivoted the music industry in the 21st century.
Artificial intelligence in the arts is growing increasingly more complex. It is 2022, and robots are co-creating art, NFTs are celebrating and confusing art consumers around the world, and at least 85% of Americans have smartphones that give immediate access to endless amounts of streaming content. However, AI has flaws. This article covers the recommendation algorithms built to support content delivery for this majority, their cultural implications, and bias control.
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.
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.
