DISCOVER HEADLESS TECH INTERVIEW

A Conversation about Headless Digital Asset Management Systems Part 2

An Interview with Maxwell Mabe

In part 1 of this interview, Max and Marcelo covered the foundations of a DAM, what it is, what functionality it should offer, how they work with a headless CMS and more. In part 2 of this interview, they continue that conversation, digging deep into the architecture of a DAM, APIs and SDKs and how they are used in an enterprise, AI and machine learning and how they are used for intelligent tagging, widgets vs. assets and much more.

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Patrick Jones - Course author
Meet the GUEST

Maxwell Mabe

Senior Director of Marketing, Cloudinary

With over 20 years of experience in the field of rich media and Digital Asset Management, Max is a subject matter expert on all things DAM including imagery, video, 3D, AR & VR. Before joining Cloudinary, Max held roles at Apple as a Senior Product Manager for DAM and at Adobe as a Senior Product Marketer for AEM Assets. From retailers to fine artists, as a Solution Engineer & Consultant for 7 years he helped hundreds of organizations implement DAM solutions across North and South America including Martha Stewart, Fox Studios, Princess Cruises, CBS, JCPenney, Tesla, and Portland Museum of Art.

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MEET THE HOST

Marcelo Lewin

Marcelo is passionate about content modeling, so much so, he spends his weekends creating content models for fun! Yes, we know, he needs to get a real hobby! He's also very interested in content governance, content architecting and headless CMS technologies. As a Senior Content Solutions Architect, he designs content models that are scalable, support single source of truth and are friendly both to developers and content authors alike.
Patrick Jones - Course author
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Discover Headless Tech

Stay up to date on the latest headless technologies you should be aware of. Learn the terminology, the architecture and the details. Each lesson is focused on a particular technology and/or product showing you how to use it to perform a particular task.
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