– How AI and connected technology are changing the way brands create, adapt and distribute content
– Breaking down the silos between marketing, creative, data and technology
– Moving from producing more content to creating more relevant customer experiences.

– With customers engaging across more channels than ever, what are the biggest challenges in delivering a truly connected experience?
– What strategic changes have had the greatest impact on improving cross-channel engagement and consistency?
– How are you operationalising your omnichannel strategy across marketing, data, technology, and teams?

– What have we learned from a year of hands-on experimentation about what makes AI genuinely useful for marketing work?
– How can marketers provide the right context to get better, more relevant results from AI?
– What practical approaches can marketers apply now to improve the quality and usefulness of their AI outputs?

– Why traditional social listening and AI-generated summaries aren’t always capturing the real consumer sentiment and behaviour behind the data.
– How brands can uncover authentic human insights from comments, reactions and conversations around campaigns and branded content.
– Using social intelligence to spot emerging reputation risks, understand what drives consumer behaviour and identify creators based on audience engagement rather than follower numbers.

– Discover how leading organisations are scaling AI adoption while navigating evolving regulations, security challenges, and customer expectations.
– Hear exclusive insights from one of the world’s most highly regulated industries on transforming responsibly with AI.
– Gain practical strategies to accelerate AI innovation while protecting compliance, data integrity, and customer trust.

– Why experimentation should be at the heart of modern marketing, and how brands can move beyond assumptions to make more confident, data-driven decisions.
– How leading marketers are creating a culture of continuous testing and learning to uncover new opportunities, optimise customer experiences and drive growth.
– What it takes to scale experimentation across teams, channels and customer journeys while balancing speed, creativity and measurable business impact.

– Why having vast amounts of customer data isn’t enough, and how fragmented data, disconnected systems and slow activation can prevent brands from turning insight into action.
– How AI can help marketers unify, understand and activate customer data to deliver more relevant experiences and make faster, smarter decisions.
– What it takes to move from data collection to real-time action, connecting customer intelligence with marketing execution to drive measurable business impact.

– As MarTech stacks become increasingly complex, how are leading teams overcoming integration challenges and breaking down silos to create a seamless customer experience?
– With the rapid evolution of CDPs, AI, automation, and emerging technologies, how are marketers deciding what to adopt, optimise, or retire?
– How do you demonstrate the ROI and business impact of your MarTech investments?

– Move beyond traditional attribution models toward agent-led measurement combining MMM, MTA, and incrementality without enterprise-level complexity
– Discover how AI agents automate data science workflows — from exploratory analysis to model calibration — delivering faster, more reliable marketing insights
– Enable conversational analytics through semantic layers and AI co-pilots, allowing marketers to interrogate performance data and make confident budget decisions in real time.

– What are the biggest barriers preventing Marketing and Sales from operating as one team?
– How can organisations build trust, shared goals, and stronger communication between teams with different priorities and ways of working?
– What technology, data, and processes are helping bridge the gap and create better customer journeys?

– How has a decade of convenience culture, from Amazon to AI, changed what customers expect from brands and how they access information?
– What assumptions underpin traditional brand governance, and where are those assumptions becoming less relevant in distributed, always-on environments?
– How can brands make information easier to find and act on without compromising consistency, control, or brand integrity?

– What does brand relevance mean today, and how are leading brands measuring its impact?
– With consumer attention becoming increasingly fragmented, what strategies are driving meaningful and differentiated digital engagement?
– How can brands create digital experiences that reflect their purpose and values while remaining authentic, consistent, and agile?

Join an exclusive, closed-door roundtable exploring how leading teams are reshaping customer experience in the era of agentic AI. Discover practical strategies to optimise real customer journeys, elevate accessibility into a growth advantage, scale trusted content, and stay discoverable as search evolves from SEO to AEO.