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.

Your chance to visit the exhibition and network with your fellow DAM Professionals.

DAM implementations are rarely straightforward. Success often hinges not just on the technology itself, but on the people and partners involved. In this candid and practical session, Misti Vogt (Orange Logic) and René Affolter (GateB) share how a vendor-partner-customer collaboration can be set up for success.

As a legacy broadcaster navigating a rapidly evolving digital landscape, ITV faced growing challenges managing the scale and complexity of its marketing assets. These include promotional video clips, images, and other materials distributed across fragmented systems and teams. In this session, Stephanie Gillott shares how ITV adopted an enterprise DAM solution to better support the marketing, merchandising, and publicity content tied to more than 15,000 hours of programming. This includes assets used in campaigns, partnerships, and distribution efforts.

Context:

• The quantity and variety of assets organisations generate is skyrocketing.
• Customers expect those assets to be deployed in timely, personalised communications.
• That’s why, in marketing organisations, DAM plays an increasingly core role.

What’s happening:

The way teams establish and leverage their repositories of assets is changing - the DAM landscape is shifting.

Questions and answers: