DAM and Artificial Intelligence (AI)

Artificial Intelligence (AI) is playing a critical role in reshaping how we manage, modify, and optimize digital assets. AI offers both the opportunity and the ability to improve all aspects of DAM - from the management of metadata, enhancing search and discovery processes, streamlining workflow to enhanced automation.

DAM is being transformed both as a technology and as a fundamental process within the creative and marketing operations of businesses.

DAM at the core of the MarTech stack should be viewed as a constant network of connections between people, process, and technology. With AI technologies like Machine Learning (ML) and Natural Language Processing (NLP), DAM can do even more to automate and optimize digital assets. AI enhanced DAM impacts the functionality of tagging and search within creative, digital asset workflows. BUT the AI powered robots should not work in splendid isolation. They must interact with humans throughout all DAM processes and the entire asset lifecycle.

Series Summary

Session 1: Metadata is the Foundation for AI 
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To prepare for AI work, we must determine what metadata fields and relationships are appropriate for AI integration. This session will focus on how to leverage meaningful public domain data (e.g. color, shape, sentiment) and other business-centric data (e.g. product hierarchy, ingredients, etc.) to contextualize and categorize data within your DAM’s digital assets.

Speakers:

John Horodyski, Executive, Marketing Technology, DAM, and Metadata

Jake Athey, VP, Go-To-Market and Sales, Acquia

Session 2: AI Powered Visual Search for DAM 
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This session will focus on how AI-powered image search improves discovery and findability of a desired image or video. Using AI-powered image recognition in DAM has the power to appraise and determine the probability of finding other images featuring similar content to what was sought. The benefit: you can discover previously unknown images. Such searches can work alongside current metadata-based searches.

Speakers:

John Horodyski, Executive, Marketing Technology, DAM, and Metadata

Andrew Hall, VP, Global Demand Generation, Canto

Brian Athey, Senior Solutions Engineer, Canto

Session 3: DAM Automated AI Asset Tagging 
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How AI technologies are able to help automate tasks such as tagging, categorizing, and describing digital assets – applications that optimize asset ingestion, saving time and money. With auto-tagging and AI technologies, the DAM solution does the tagging using image scanning, facial recognition, and relevant keywords.

Speakers:

John Horodyski, Executive, Marketing Technology, DAM, and Metadata

Mohan Taylor, Chief Technology & Product Officer, Tenovos

Session 4: DAM and Generative AI Workflows
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How generative AI makes DAM more efficient and user friendly by fostering collaboration within and among teams, by personalizing recommendations, and by exploiting opportunities for content discovery. AI-powered tools can optimize opportunities for WIP asset iteration and generate brand consistent content based on location and/or audience – as well as many other elements.

Speakers:

John Horodyski, Executive, Marketing Technology, DAM, and Metadata

Caridad Bojorquez, Team Lead Content, Sitecore