A definitive introduction to digital asset management and its role in the content ecosystem: what, why, how-to, and best practices.

This text is an important resource for students and for professionals who need to learn about Digital Asset Management (DAM) systems for their workplace. Authors Grimm and Keathley lay out what a DAM is, the major types of systems on the market, and how to implement and work with a DAM.

DAM's role has become central to broader content ecosystems, and knowing how to manage integrations and more complex business rules and architecture has become fundamental to DAM work. Additionally, the hype around generative AI has meant an increase, rather than a decrease, in the amount of knowledge DAM managers need in their day-to-day roles: the data cleanup required to successfully drive AI projects in DAM is a foundational step that this book helps readers understand.

Students hoping to work with DAM will appreciate updated information on changes in the field, including insights on the progress of adoption of this technology by corporations and cultural institutions. Common issues in DAM launch and adoption are discussed, with practical case studies presenting solution options for different work environments. With information on how to integrate this tool into an existing information architecture, as well as practical advice on everyday operation, this text is invaluable for everyone who wants to understand and work with digital asset management.

Lisa Grimm has been directing DAM, taxonomy, and enterprise content programs in the United States and Europe since the mid-1990s for companies including Elsevier, GSK, Amazon and more.

E. Keathley has worked in digital asset management for over twenty years, with a resume that includes positions at universities, government agencies, cultural institutions, and Fortune 50 corporations.