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High levels of user adoption underpin every successful DAM implementation.  The quality of first line user support is one key component in making this happen.  Support is currently resource-intensive in terms of cost and time, and, as a result, it rarely gets sufficient budget or attention.  In theory, at least, Chatbots have a role to play, just like they do in the business to consumer environment.  Once first line support is made better using automation techniques, this can free up time to develop higher levels of engagement in the areas that require more of a human to

Buying enterprise level DAM software is a unique challenge. It requires a high degree of IT knowledge to understand the technical requirements that goes into the implementation, yet it’s procured for people with little technical knowledge; creatives. Creatives typically have a minority voice through the buying and implementation process and consequently are often disappointed with the end result, as what they were told they were getting is often unclear, misleading, not particularly helpful to their day-to-day needs, or not even possible.

Join us to discover: 

• Why content intelligence and data matters 
• Getting started with data 
• Team workflows from production to delivery
• Clean data - the benefits and more benefits 
• The KPIs you should be looking for 
• Brands: save money! Agencies: Save clients!

The practice of DAM allows for your digital content to have a home, but not just any home (i.e. it's not just a place to store your stuff) - it's one that provides context and meaning for your organization’s most important digital collections through metadata, permissions and access restrictions.  In the age of the digital workplace, new tools pop up daily, making it tough to find or craft a  forever home for your digital content. 

DAM, while long regarded as the single source of truth sometimes originating in marketing or production environments, can also be a tool to aid in the preservation of corporate memory for an institution - helping to codify knowledge and also preserve important company information and data.  This allows organizations to avoid repeating the same old mistakes and also keeps them from re-inventing the wheel, recreating the same content or forgetting about important learnings or knowledge.