With little success in larger-scale government oversight so far, it begs the question: how is the marketplace for DAFs changing and innovating in the response to these singularizing criticisms? Is the market listening and self-correcting as a way to preempt such legislation? Given the broad variety of DAF sponsor organizations, it is evident that the field, while large, is not a monolith and deserves to be measured at its innovative margins. Newer sponsors have revealed themselves to be particularly aware of the controversies yet remain focused on the opportunities these accounts provide and are demonstrating new approaches to DAF sponsorship aimed at greater payout rates and democratization of their platforms.
While institutional philanthropy is in a boom-time, foundations have not monopolized such growth. The renewed interest in donor advised funds (DAF) since the pandemic has triggered meteoric growth in the amount of assets stored in DAFs, with recent figures showing over $229 billion stored across 2 million DAF accounts, receiving roughly $86 billion in annual contributions, and granting nearly $52 billion in 2022.
The use of generative AI (GenAI) tools is becoming increasingly prevalent in marketing, particularly for smaller organizations or nonprofits seeking innovative ways to engage audiences and improve workflow efficiency. This article dives into data collected through a survey that was sent out to museum professionals in Pittsburgh and Cleveland to better understand how and if they are utilizing generative AI tools in their marketing strategies.
This month, music and film are at the forefront as each battles with the future uses for burgeoning tech. While AI-generated film visuals seem to be coming up short, progress toward realistic AI-generated music is starting to send shockwaves. On the consumer side, music streaming tools are being released to allow more listening experience customization. Across the industry, artists are celebrating ways that some these new tools can enhance their work, while speaking out against potential impacts on jobs, compensation, and creative freedom.
Generative AI (GenAI) has become increasingly integrated into marketing and communication careers, and even our daily lives, with the rise of various text-to-image, text-to-video, & text-to-text tools. As digital marketers find new and innovative ways to keep up with the trends, and specifically GenZ in a quick-changing popular culture scene, how are they reacting to the rise of GenAI?
CGI and motion-capture technology have disrupted filmmaking in the past two decades, and there are no signs that this trend is in decline. In part one, the history of and technology behind CGI and motion-capture is explained in detail. That framework and information will be applied to this second part of the series, which examines how similar technology is leveraged in the “holograms” that have become more prevalent in live performances and museum spaces in the past few years.
Over the past twenty years, computer-generated imagery has become nearly ubiquitous in film and television productions. This ubiquity is due to enhanced computing power and higher resolutions coupled with increasingly lower costs. To understand how these technological advancements and their artistic applications in recent years are disrupting the industry, there are three key technologies that must be understood and disambiguated: computer-generated imagery (CGI), motion capture, and holograms. Of these three, CGI is the most foundational technology for the current state of production.
