– Discover how marketing teams can activate content effectively in an era of generative AI, where content is abundant but increasingly difficult to control.
– Learn how DAM evolves from a simple repository into a strategic content command center, connecting brand governance with marketing execution.
– Explore how global organizations empower local teams to create and adapt on-brand campaigns instantly through smart templating – while maintaining a single source of truth.

– Connect data, content, and context to deliver experiences that anticipate rather than react.
– Align teams and technology around customer intent to drive measurable business impact.

– How Stellantis is evolving from campaign-centric marketing to AI- and data-driven customer journeys across channels: From 15% of our activations made with CDP toward 100%
– How Stellantis uses a Customer Data Platform + AI to unify data, orchestrate journeys, and deliver relevant experiences
– Concrete use cases (e.g., next-best-action, personalised offers, service & after-sales journeys, media optimisation) and the business impact (conversion, loyalty, efficiency)
– Scaling challenge: analyse the challenges of scaling marketing efforts across diverse markets and brands

– Today’s marketing processes take too long and are too manual.
– Agentic Marketing Platforms help streamline marketing processes and campaigns.
– Harnessing the power of your brands context and customer data — AI leads to faster, more creative marketing campaigns.
– Agentic Marketing Platforms empower marketers to manage more aspects of the campaign process.

– Develop a practical understanding of AI concepts, capabilities, and limitations across the marketing organisation.
– Enable teams to move from experimentation to confident, responsible AI adoption that drives real business value.

– How AI agents are redefining marketing and web journeys right now and in the future
– What changed in our GTM when personalisation became possible at scale
– How we adapted our team and turned everyone into an agent builder

– Turn disconnected channels into a single, intelligent engagement layer.
– Use APIs, automation, and analytics to orchestrate experiences that scale.

– Transition from legacy processes and IT reliance to a flexible, component-based model that empowers marketing teams to operate independently and rethink their approach to content architecture.
– CentraliSe content and enable faster, coordinated campaign execution to improve time-to-market and deliver consistent experiences across web and mobile.

– Connect behavioural, transactional, and media data for a dynamic single customer view.
– Enable smarter segmentation and measurement across every touchpoint.

– Learn how to move beyond guesswork by using real-time consumer input
– Explore how AI and quantitative research can be combined to deliver instant, scalable feedback
– Learn how to test, validate, and optimise marketing decisions with greater speed and confidence

– Explore why typography is emerging as a critical operational challenge in the age of AI-driven content scale
– Understand the hidden risks and costs of inconsistent font usage across global teams, tools, and workflows
– Learn how Typographic Operations (TypeOps) enables scalable governance, faster production, and stronger brand consistency

– Explore how AI can augment creative strategy without losing authenticity.
– Discover workflows that merge data-driven precision with human storytelling.