After Adobe MAX earlier this month, I thought back to even last year and how quickly we have adapted to, embraced, ridiculed (hot dog fingers), and learned from the new GenAI applications and their DAM impact. When I say impact, it goes beyond the integrated tools within DAM platforms or creative suites, to also include the writing, image creating and chatbot GenAI tools sprouting up between the cracks in our modern MarTech stack.
Even 1 year ago, we would not have every conversation on the future of DAM turn into a robots-are-coming-for-our-jobs talk. Like all new tech movements, the shift to GenAI for repetitive and programable processes might mean we shift our work focus to leading teams, organizing queries and thinking through the structure of our DAMs more of our working hours than simply applying the metadata, crops, and tags that overwhelm some teams. How far we have already come means nothing if our future plans don’t prioritize the things humans do better than GenAI instead of trying to hold onto the tasks it can improve and remove from our workflows.
I tried asking an AI (using Google Bard) for some answers:
Generative AI for Digital Asset Management in 2023
Generative AI (GenAI) is a type of artificial intelligence that can create new content, such as images, text, and code. GenAI is still in its early stages of development, but it has the potential to revolutionize the way we manage digital assets. GenAI can be used to automate a variety of tasks involved in digital asset management, such as:
Asset tagging and categorization: GenAI can be used to automatically tag and categorize digital assets, which can save businesses a significant amount of time and effort.
Asset search and retrieval: GenAI can be used to improve the accuracy and efficiency of asset search and retrieval. For example, GenAI can be used to search for assets based on their content, rather than just their metadata.
Asset creation and modification: GenAI can be used to create and modify digital assets, such as images and videos. This can be useful for businesses that need to create customized content for their customers.
Asset management and compliance: GenAI can be used to help businesses manage and comply with data protection regulations. For example, GenAI can be used to identify and remove sensitive data from digital assets before they are shared.
Benefits of Using GenAI for Digital Asset Management
There are a number of benefits to using GenAI for digital asset management, including:
Increased efficiency and productivity: GenAI can automate many of the tasks involved in digital asset management, which can free up employees to focus on more strategic tasks.
Improved accuracy and consistency: GenAI can help businesses to improve the accuracy and consistency of their digital asset management processes.
Reduced costs: GenAI can help businesses to reduce the costs associated with digital asset management, such as the cost of hiring and training employees.
Enhanced creativity and innovation: GenAI can help businesses to enhance their creativity and innovation by providing them with new ways to create and manage digital assets.
Challenges of Using GenAI for Digital Asset Management
There are also a number of challenges associated with using GenAI for digital asset management, including:
Cost: GenAI solutions can be expensive to develop and implement.
Accuracy: GenAI solutions are not always accurate, and they can sometimes generate incorrect or misleading results.
Bias: GenAI solutions can be biased, which can lead to unfair or discriminatory outcomes.
Ethics: There are a number of ethical concerns surrounding the use of GenAI, such as the potential for job displacement and the misuse of GenAI for malicious purposes.
So now what?
GenAI has the potential to revolutionize digital asset management. However, there are a number of challenges that need to be addressed before GenAI can be widely adopted in the digital asset management industry.
Businesses that are considering using GenAI for digital asset management should carefully weigh the benefits and challenges before making a decision. They should also develop a plan to mitigate the risks associated with GenAI, such as bias and misuse.
Despite the challenges, the future of GenAI for digital asset management is bright. As GenAI technology continues to develop and become more affordable, we can expect to see GenAI being used by more and more businesses to manage their digital assets.
Questions for GenAI planning
Now that we see what the GenAI engine delivered, does this change the way you are planning for next year? How are you currently using GenAI models to change the way you and your team works? What are you planning next?