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.
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.
Pages: 224
Category: Företagande & Management
e-ISBN: 9798216196303
Shipping weight: 1.2 kg
Ships in: 1-2 days
Pay easily by card, Klarna, Apple Pay or Google Pay. Not happy? You always have a 14-day money-back guarantee. Read more in our terms. If you have any questions, email us at hello@memmo.org.
Memmo makes studying easier – wherever you are in the world. We bring your course books and smart study tools together in one place: summaries, quizzes, podcasts and flashcards. Plus Ted, your study buddy who answers anything you wonder. Over 50,000 students already study here – built to help you learn faster and stress less.