Digital Asset Management professionals are bombarded with conflicting messages: “AI will solve all your metadata problems,” or “If the AI isn't native to your DAM, it doesn't count.” The reality is far more nuanced.

Join Jake Athey and Rachel Kohl from Acquia as they dismantle the myths defining the current landscape. We will move beyond the binary of “AI vs. Manual” workflows to explore the practical spectrum of modern DAM management.

This session will guide you through:

As content volumes explode and digital experiences become more personalized, the biggest challenge organizations face is no longer discovering assets - it’s executing content operations fast enough.

Today, content creation, quality control, personalization, management, and delivery are handled by fragmented tools and siloed teams. DAM systems often sit in the middle as passive repositories, creating handoffs, bottlenecks, and duplicated effort. In this model, work waits instead of moving forward.

Context:

People Inc. is the largest publishing company in the United States, responsible for over 40 iconic brands and reaching nearly 200 million people every month.  Over the past 10 years, we’ve had astronomical growth in all areas, including the internal DAM system. Things have only gotten more complicated in the expansive universe of DAM – from social media and instantaneous internet news to new tools such as AI-powered image tagging and generation. So, we faced the challenge, “where do we go from here?”

Context:
Every organization has invisible systems; spreadsheets, shadow databases, and informal processes that shape how work really gets done. Before any transformation can succeed, these ghosts must be uncovered and the implications of their presence understood. 

Thus the need for Quantum Business Archaeology, a structured discovery method for identifying the unseen systems that can quietly derail DAM initiatives.