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.
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.
When it comes to sustainable, environment-friendly business practices, arts organizations have more often been criticized for being on the opposite end. Arts Council England’s annual environmental report released earlier this year shows that museums generate 41% of the total carbon footprint despite making up only 8% of the total National Portfolio Organizations (NPO).
Arts managers upgrade, adapt, and adopt to make their organization’s processes more efficient, sometimes with an end result to save time and money. If done improperly, technology adoption may cause frustration, turnover, lost time, lost money, or a step backward in company efficiency. To prevent this, arts managers must strategize technology adoption carefully.
Facial recognition technology is in a predicament, and has actually been there for quite a while. What did it experience to become the center of the controversy and how does such controversy influence the art industry? Controversial discussion never stops a new technology, and instead, it creates a buffer to help the aggressive technology to slow a bit. With this opportunity, arts managers and other stakeholders may be able to check if they are on the right track dealing with the technology and consider whether they need to reshape it to meet future challenges.
In 2019 the Arts Management and Technology Lab researched a wide breadth of content, from product reviews of image editing software to industry analysis of music streaming. As the year draws to a close, looking back through Google analytics offers a perspective on what the arts management field was particularly keen to learn over the year. Read on to see if the top topics align with any of your particular interests or passions.
AI has, and will continue to disrupt many traditional careers. According to a report by the global consultancy firm McKinsey & Company, by the year 2030 automation and AI could force around 33 percent of the US’s projected 166 million workforce to change jobs. How will this future impact the museum sector? This report investigates the pathways for AI in the workforce and where we might begin seeing it emerging in the museum sector.
The following study investigates emerging technologies and their implications for music education, inside and outside the classroom. Learn how apps, digital instruments, practical aid technology, and wearable technology can be used to increase engagement and learning opportunities for music students in various settings.
More than a trend or a buzzword, data analytics is here to stay. Newcomers to arts management may find themselves asking, what does data analytics mean for me, and how and why does my organization need to use it? If you are new to arts management, or the data world in general, this two part series is for you!
