Digital Asset Management (DAM) emerged in the late 1990s, offering companies a digital repository to store, organize, and retrieve their marketing materials. Often described as a ‘digital library,’ DAM helped maintain brand consistency across various assets, such as images, videos, and documents. However, as marketing became increasingly complex and consumer expectations shifted, the limitations of DAM became apparent. Traditional systems were rigid, offering little flexibility in a world where speed and personalization are crucial.

Generative AI is no longer a hypothetical. In marketing, it has unlocked unprecedented speed, scale, and personalization. But for regulated industries, this new power is a double-edged sword.

We have generative AI for copy, different tools for images, separate platforms for video, and a patchwork of solutions for testing and analytics. Your teams are drowning in "AI Mode"—a reactive, fragmented state of buying more tools to solve problems created by other tools.