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Saturday, November 12 • 11:00am - 12:00pm
Close Encounters of the Digital Kind

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Museums, libraries, and archives are adapting to an increasingly digital world. Public facing experiences in digital exhibits, apps, virtual reality, and more dominate the landscape, but the digital component goes beyond the user interactives. How are institutions exploring and implementing computing power through machine learning to increase collection accessibility, aid in arrangement and description, and enable new discovery opportunities? The speed of digital progress enables the use of capabilities and programs once reserved for only the largest tech companies for an increasingly larger user base. This paper focuses on how cultural heritage institutions are using machine learning now, future opportunities for utilizing machine learning, and experiences in this digital space. Several real-world examples of projects, tools, services, and lessons learned will drive discussion, with ample opportunity to share additional institutional machine learning experiences.
While machine learning will never solve all problems, opportunities abound to develop new methods for efficiencies and to broaden our capabilities. In our increasingly digital world, museums, libraries, and archives are utilizing the capabilities of computers and machine learning to enhance their collections and expand their reach.

avatar for Chris Stephensen

Chris Stephensen

Digital Archivist
Chris Stephensen focuses on making digital and digitized objects more accessible for present and future generations. Chris works for the federal government, and had been Digital Projects Assistant Librarian at Revs Institute. He received his M.S. in Information Studies from The University... Read More →

Saturday November 12, 2022 11:00am - 12:00pm EST
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