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.
Strony: 224
Kategoria: Företagande & Management
e-ISBN: 9798216196303
Waga przesyłki: 1.2 kg
Wysyłka w ciągu: 1-2 dni
Płać wygodnie kartą, Klarną, Apple Pay lub Google Pay. Nie jesteś zadowolony? Zawsze masz 14-dniową gwarancję zwrotu pieniędzy. Więcej przeczytasz w naszych warunkach. Masz pytania? Napisz do nas na hello@memmo.org.
Memmo ułatwia naukę – gdziekolwiek jesteś na świecie. U nas znajdziesz podręczniki i sprytne narzędzia do nauki w jednym miejscu: streszczenia, quizy, podcasty i fiszki. A do tego Ted, Twój kumpel do nauki, który odpowie na wszystko, co Cię nurtuje. Ponad 50 000 studentów już tu się uczy – stworzone, byś uczył się szybciej i mniej stresował.