Colonialism has consistently been a force in the global purview, including the technological space. In recent years, the expansion of artificial intelligence has vastly increased corporations’ global influence. As the world’s technologies continue to advance and innovate, individuals must keep a watchful eye on the ways in which digital colonialism might repeat harmful practices from the past.
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.
Colonialism has consistently been a force in the global purview, including the technological space. In recent years, the expansion of artificial intelligence has vastly increased corporations’ global influence. As the world’s technologies continue to advance and innovate, individuals must keep a watchful eye on the ways in which digital colonialism might repeat harmful practices from the past.
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.
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.
Digital strategy has become a buzzword after the explosion of AI in the last 18 months. Yet, it is not about AI. AI has been the tipping point for organizations and professionals to recognize that they must update or create a digital strategy for success. Digitally-forward arts organizations already have a digital component as part of their strategic plan. Read more to understand the need for technology to be a core component of strategic plans and operations.
As issues surrounding AI and NFTs continue to come to light, conversations about ethical uses of technology become more complex. This month, we are taking a look at stories that address the issues of data privacy in AI technology, the ongoing legal battlefield of NFTs, and digital strategies in theatre.
The video gaming business is now a world-leading entertainment industry with nearly 180 billion U.S. dollars in market value (Statista, 2021). As more private information and in-game data are collected and utilized to support gaming, it may also threaten the safety of gamers' privacy. Therefore, it is essential for gaming companies to understand the business implications of collecting and using gamers’ private information. There have been studies that take account of the privacy landscape across industries, but privacy in the gaming industry remains less examined given its complexity and rapid recent growth.
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.
