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.
If you work in your organization’s management systems, how often are you caught by data that you cannot trust? The degradation of data integrity typically comes from human error (entry of data or maintenance), formatting inconsistencies, collection processing errors or data field misalignment, or, for larger companies, data breaches. This article will help clarify how to create ecosystems for data integrity and the opportunity a strong data infrastructure provides for a data-ready future.
Carnegie Mellon University (CMU) was ranked number one in 2022 for Artificial Intelligence Programs by U.S. News and World Report. Incorporating CMU’s AI lessons is critical for all industries but particularly those that are historically considered to be “non-technical fields.” Within these fields, the ones who thrive will be those who incorporate at least the lower levels of the stack, namely data management, but an understanding of each layer of the stack will provide industries with a road map to understand how they can increase the efficiency and output of their organization’s business processes.
In 2021, TikTok updated its privacy policy which allowed it to collect biometric data on its users, including faceprints and voiceprints. Rather than explicitly informing its users about this change, the app vaguely communicated that they were issuing a “privacy update.” Once people found out what the update entailed, concern rightfully grew. This type of data collection indicates a significant shift from companies collecting behavioral data on their consumers to something much more invasive and without true consent. Only 36% of Americans trust tech companies using facial recognition technology. In general, public trust in Big Tech has been steadily falling in the United States. Regardless, however, most people still click “accept” to the Terms & Conditions on any website without actually knowing what is being agreed to, indicating a disconnect between what US citizens expect from businesses and what is actually being conducted. With a lack of national protection, nonprofit organizations must assume responsibility in protecting personal consumer data and using it ethically.
This week, AMT Lab has been investigating what lessons arts organizations can learn from sports as they seek to provide engaging digital experiences for audiences. The National Basketball Association (NBA) is the most prestigious and well-known basketball league in the world, making it imperative that they continue to engage their fans during the pandemic while securing revenue from broadcasts. They found solutions that would permit fans, specifically younger generations, to continue to interact with each other during the games—something that arts organizations could apply to their virtual performances.
As arts organizations look to provide digital experiences to engage audiences, there are lessons to be learned from sports leagues that have restarted seasons and successfully broadcast them to international audiences amidst the Covid-19 pandemic. One example is La Liga. The Spanish league most commonly known as La Liga is one of Europe’s top five soccer leagues. The 2019-2020 season kicked off on August 16, 2019 and was set to go until May 2020, but as the world—and Spain specifically—saw the rapid growth of Covid-19, the league was temporarily suspended. With the campaign entitled #BackToWin, it was the second major European league to resume, with no fans in the stadium and strict safety guidelines. To make the matches a marketable product from an entertainment standpoint, broadcasters experimented with AR “fans” and artificial crowd noise. A spike in La Liga’s international viewership reflects not only the fans’ desire for the return of live sports, but also the value of the product La Liga and its broadcasters were able to create. As sports—and the arts—look for ways to perform virtually, La Liga offers an example for how to do so successfully.
So why sports? Although the general perception of the sports industry focuses on teams and their players, the sports industry encompasses a vast number of stakeholders that affect the state of the industry. The industry is made up of a complex web of live sporting events, food stands, media rights, and brand sponsorships. Most importantly, as with the arts, fans and audiences play a key role when it comes to analyzing the state of the industry. Unlike the situation for arts audiences, the global sports market is growing and expected to continue to grow due to esports, an increase in the number of internet accessible devices and the advent of 5G. What opportunities could this offer arts organizations looking for digital innovations to reach audiences?
2020 has been and will continue to be notable for all but especially artists and arts institutions. Globally we are facing the uncomfortable realities of a pandemic that has brought the arts industries to their knees, economically, particularly the performing arts. Demands for racial and social justice come with a reckoning for many arts institutions — for their own participation in the industrial model that creates inequity in hiring, programming, training, even foundation giving.
As a researcher, artist, academic and former managing director, I hope that 2020 is a year that will offering us, as an industry, a pause to rethink how to do our artistic work in more equitable, inclusive and relevant ways. To create clarity as we re-think institutional systems , it is important to turn to data about our own institutions as well as our audiences in order to become the relevant and vibrant institutions that all communities deserve. In this short article, I will connect information from the recent national survey by LaPlaca Cohen and Slover Linett, “Culture and Community in a Time of Crisis” and emerging best business practices heralded by McKinsey and Co. and other thought leaders in the business field.
Google Analytics is an indispensable tool for any business to better serve its customers, achieve business goals, and build successful marketing campaigns. Used by itself, analytics is a powerful tool that can help an organization optimize its website and customer pathways. However, integrating additional tools within the Google Suite of tools offers more nuanced and informative means of maximizing data integration and your understanding of your institution’s website connections and conversion. This research report gives a how to for 7 critical Google Suite tools to maximize Google Analytics impact.
With the emergence of digital fan engagement, fan codes and traits that were once hidden to content makers are now able to be studied on an individual and collective scale through scraping and network mapping. This paper explores how to access information in order to understand fan behavior and the best ways to cultivate fan/producer relationships. While this study focuses on film and television, this information can be used to map digital conversations and communities surrounding all artistic mediums.
How well do you know the history of your industry? Could you list every branch, every individual, that helped to develop your industry into the complex and beautiful thing it is today? If you asked someone who works in the arts to craft such an image or list, they’d probably be able to give you a significant list of names. Yet, the truth is, a single individual’s list can’t provide the entire picture, just their perception of what the tree looks like.
