Articles
DAM will not solve all your problems, but it will serve as the foundation for all your solutions.
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Where can you apply AI and machine learning to your own content solutions, including DAM, so you can work faster, smarter and better?
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Is the digital asset management market split? We dig into some of the key developments in the market along with things to consider before making a change.
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The current artificial intelligence image recognition tools used in DAM systems are comparable to a pair of eyes disconnected from the brain.
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Any successful DAM implementation requires more than just new technology; it requires a foundation for digital strategy.
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Make metadata meaningful to you, your users and your organization by managing it well.
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Normally, marketers aren’t incentivized to think in terms of fact and falsehood, truth and mistruth, conviction and skepticism. That should change.
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On its surface, DAM has many similar content management features as solutions like web CMS, cross-channel campaign management and more.
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DAM must be seen as more than just DAM: it is a critical component of the marketing technology system.
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Metadata is the key that unlocks the commercial potential of information, data, and intellectual or creative assets.
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A rich media strategy is fundamental to success, and should be refreshed for every campaign or major brand direction change.
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DAM is by nature a complex relationship when you consider all of the inputs, connecting points and human element involved.
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Tidying up is the best preventative measure for information overload and content disorganization.
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Need to train your machine learning algorithms? Well, robust voice datasets are few and far between but here are nine that may fit your needs.
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