Historically, digital asset management (DAM) involved time-consuming manual tasks, but sophisticated DAM systems have revolutionised this space.
Features such as drag-and-drop uploading and bulk uploads from external metadata have simplified digital asset management processes and now artificial intelligence (AI) is driving further efficiencies.
AI technology has delivered many valuable innovations across industries such as healthcare, education and transportation. Some of the key benefits of AI include reduction in human error, fast data analysis and automation of tasks.
As the capabilities of AI continue to rapidly progress and refine, the opportunities for technological advancements are limitless. AI has already introduced many improvements to DAM systems, resulting in cost savings and efficiencies for businesses.
These are some of the future opportunities for AI in DAM:
Automating repetitive DAM workflow tasks speeds up processes, improves accuracy and reduces manual workload. This frees resources to focus on other important tasks and the automation capabilities are continuously advancing. One of the latest automation features is auto-tagging, where AI scans a digital asset, identifies objects and provides a relevant tag.
With the ever-increasing threat of cyberattacks and data breaches, improving security is essential for managing digital assets. AI can detect and flag anomalies in user behaviour, helping to prevent unauthorised systems access.
AI security measures can automate compliance tasks, for example, restricting access to sensitive files and setting up role-based access control. AI can also be used for vulnerability assessments to identify system weaknesses. Going forward, AI will play an important role in the future of compliance, with features such as automated archiving to meet regulatory requirements.
Advanced searchability allows users to quickly find the assets they are searching for, with automated metadata tagging sorting assets into relevant categories and file names. AI can also enhance content personalisation, providing users with quick access to the assets they need. The future scope of personalisation within DAM systems will improve user experience based on each user’s previous interactions.
The reporting and analysis tools provided through AI are still evolving and the capability to analyse large volumes of data in an instant significantly reduces the time taken to produce reports. This means that businesses can make data-driven decisions much faster. In the next few years, AI analysis is expected to deliver new features such as prediction of asset requirements for future projects, based on previous usage patterns.
These are just a few examples of how AI is revolutionising digital asset management, and it will become even more powerful over time. Unlocking the power of AI will help businesses to leverage huge benefits in workflow efficiencies, data security and analytics.
To find out more about how to integrate AI into your digital asset management system, contact our team today.
