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.
With the digitization of our world, data has proven to be incredibly useful for arts and entertainment organizations in terms of decision-making and strategy formation. However, organizations can often be at a loss with how to collect data, how to format data visually, or how to use the data to achieve their goals. What follows is a discussion/outline of two methods for gathering external data for internal use in arts and entertainment institutions: web scraping and data scraping.
In the latest episode of the AMT-Lab Podcast series, Chief Technology Manager Ashley Anderson Kowach interviews AMT-Lab contributor Megan Ma about her research on how a nonprofit organization can integrate social media data with an existing CRM system to better understand their constituents interests which could lead to better engagement between the organization and the audience.
Data collection is an imperative in today’s economy; the lack of data collection results in ineffective and costly operations and marketing efforts. However, data collection is just the first step; what museums do with their data is the key to harnessing the power of Big Data and helping organizations succeed.
This season at Dallas Theatre Center (DTC), a great love story unfolded; however, it was not presented on the stage. During a recent TRG Executive Summit, Managing Director Heather Kitchen shared a tale of romance which both inspired and invoked a bit of envy from the other participants. It was the story of her data manager and the two departments that loved her.
This post, originally published on Analysis from TRG Arts, is the first in a series by TRG’s VP of Data Services Steve Loyd addressing data management and how it can help organizations.
