Time to have some lunch and visit the exhibition. See you back at 14:20 for the start of the afternoon sessions!

AI is no longer a future ambition—it’s a present necessity. Yet for many organisations, applying AI across content workflows remains unclear and difficult to scale. 

In this session, Novartis shares how they evaluated existing DAM processes and successfully applied AI to streamline operations and personalise content experiences. Learn practical steps for identifying high-impact use cases, integrating AI with minimal disruption, and driving measurable ROI from your DAM. Discover how AI and DAM together can shift your approach from content creation to content intelligence.

Slimming World’s Journey Integrating PIM into DAM

The need:

As demands on content and product teams continue to evolve, the need for a connected, flexible martech ecosystem has never been greater. Organisations are moving away from siloed, monolithic systems to open platforms that support a unified marketing content supply chain—where assets, data and workflows move seamlessly across departments and channels.

Satisfying the need: 

Twinings and Ovaltine are two well-known global brands dedicated to enhancing authentic consumer experience.

Context:

DAM is a new addition to the business, bringing AI, automation, and integrations. While the technology has evolved, its core purpose remains the same – to store, find, and use assets efficiently. We recognised that the technology, metadata and governance must be well aligned with our real-world processes. We also knew that adoption (buy-in) throughout the organisation was necessary.

The new reality:

• AI enables organisations to save time and costs in many ways by automating their content workflows.
• From basic metadata enrichment offered by transcription machine learning services to video creation using Gen AI models, content professionals are spoilt for choice.

The challenge:

Fact: DAM system migrations - especially from on-premise to cloud - can disrupt workflows and challenge users.

Covering:

There’s much talk about AI completely disrupting technology as we know it. 

DAM practitioners should see AI as an opportunity not a threat. DAM technology is well suited to helping enterprises take advantage of AI’s possibilities.

The story so far: how smart enterprises are using DAM to shape the future of digital operations, from enhancing collaboration, enabling personalized content strategies and managing omnichannel content at new scales.

The Royal Armouries Museum is one of the oldest museums in the world. Throughout our history we’ve created a huge quantity of content. Now happily in the form of digital assets.

Over the past two years we procured a new DAM system to store these digital assets and be the single source of truth. 

We’ve integrated the DAM system with multiple websites and databases to help achieve both commercial and non-commercial goals.

A report of how we got to where we are now, covering:

It’s generally thought that AI is transforming DAM faster than ever. But in which respects and precisely how? What’s really happening on the ground?

The State of AI in DAM 2025 Report is based on insights of DAM leaders, practitioners, and leading experts worldwide. It summarises the most significant trends, the biggest challenges, and the game-changing opportunities that are shaping AI’s role in DAM.