Artificial intelligence and machine learning are revolutionising nearly every aspect of everyday lives. From providing a fast and efficient online shopping experience to recommending a TV series based on previous streaming habits, AI has changed the world in many ways.

For businesses in competitive industries, staying at the forefront of the latest technologies is essential for long-term success. If your company has not yet explored the power of a DAM system, you may be falling behind.

You might know DAM as a solution for storing digital assets, but its capabilities expand much further than storage alone. Modern DAM systems now incorporate sophisticated AI and machine learning-driven features that unlock a whole new way of working.

AI and Machine Learning Features of DAM

Let’s look at some of the ways DAM incorporates AI and machine learning to drive business improvements:

Automation of metadata tagging

For businesses that work with large volumes of digital assets, one of the most time-consuming and unnecessary tasks that teams are burdened with is manually tagging assets so that they can be quickly retrieved. AI features within DAM provide auto-tagging to add keywords and file descriptions enhanced for searchability.

As well as removing the manual work involved in organising files, having a consistent, automated process ensures that files can be quickly retrieved by the relevant people within DAM.

Machine learning algorithms, such as image recognition, can scan images to accurately provide metadata tagging such as file titles and categories to improve search accuracy.

Personalisation of campaigns through advanced analytics and predictions

Machine learning features within DAM can learn content patterns and user behaviour to provide asset recommendations for a specific type of campaign. This enables a deeper level of personalisation, using the recommendations to create more effective marketing campaigns, without the requirement to analyse large data sets.

ML can analyse content performance by audience segments and platforms. It predicts which campaigns, like email click-throughs or website conversions, are likely to succeed.

Improved compliance

Staying compliant with local licensing laws and data protection, regulations is a challenging but very important responsibility for businesses. AI and machine learning can automate archiving of assets when a licence expires and licence details can be stored for each asset. The DAM system can flag expiry dates to ensure that campaigns do not include assets that could violate the terms of the licence.

Unlock the power of AI and machine learning in DAM

These are just a few examples of how AI and machine learning are transforming digital asset management but as you’ll be aware, AI and machine learning capabilities are developing at a rapid speed. By implementing a DAM system, you can ensure that your business benefits from all the latest AI features that are regularly introduced to DAM.

Get in touch with our team to learn more about the AI and machine learning features of DAM.

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