AI Training and Focusing on the Long Game
In this session, we’ll focus on the emerging art of utilizing AI in real-world scenarios and discuss the three “buckets” that many different types of AI can be sorted into: Generative, Assistive, and Analytical. AI training is iterative and may not save much time up-front, but you ARE getting more effective metadata tagging from the process through people-centered quality control. How do we manage or remediate AI’s glut of output? When is it appropriate to give AI the lead and let it create, correct, and identify within our asset libraries?
Presenters
Hannah Callahan
MLIS, LIBRARIAN
ALDIS
Hannah earned her Master’s degree in Library and Information Science from Simmons College in Boston in 2018, and spent the first several years of her career as a librarian working in rare books and cataloging. She joined Aldis in 2023, where she brings that traditional librarian discipline to the fast-evolving world of digital asset management.
Phil Seibel
MLIS, senior librarian
Aldis
Phil earned his Master’s degree in Library and Information Science from the University of Denver, and he’s been with Aldis since 2013. During his time here, he’s worked with clients in a broad range of organizations, with one goal in mind: help them get the most out of their DAM. He specializes in taxonomy, ontology, and change management – with users’ needs at the forefront, every step of the way.
